AI Infrastructure Lead Jobs

Our client, early-stage Fintech company in San Francisco, are hiring a Senior Software Engineer to join the team remotely. The successful candidate will become the founding engineer for the company's Vault product, taking ownership of designing and building the systems that connect software with real-world operations, including the automation of asset intake, inventory management and more.



Responsibilities

• Take end-to-end ownership of the Vault technology platform, leading systems and features from architecture and technical design through development, deployment and user experience.

• Design and automate the physical asset intake workflow, covering receiving, scanning, inventory processing, exception management and quality control.

• Build and scale Vault-as-a-Service, including account infrastructure, billing and APIs that enable enterprise partners to programmatically store, manage and ship assets.

• Develop resilient partner integration infrastructure capable of handling malformed data, duplicate submissions, out-of-order events, retries and SLA failures.

• Build and enhance the asset imaging and digitization platform, including image capture, lighting workflows, automated validation and 360-degree digital representations.

• Apply computer vision and AI models to automate quality assurance and detect imaging, labelling and inventory discrepancies before they impact customers.

• Develop AI agents and operational automation to investigate exceptions, identify recurring issues, surface root causes and reduce manual intervention.

• Create scalable tooling and data infrastructure that enables the rapid introduction of new asset classes, including schema creation, information extraction and classification.

• Build MCP servers, AI integrations, and agent-based workflows that make Vault inventory, asset status and event history easier for teams to access and manage.

• Provide technical leadership as the Vault engineering team grows, contributing to architectural decisions, code reviews, engineering standards, documentation and mentorship.

Skillset

• At least 5 years of professional software engineering experience, with a strong track record of building, shipping and operating production-grade applications.

• Strong backend engineering skills using Python, PostgreSQL, AWS or comparable technologies.

• Strong frontend development experience with React, React Native, JavaScript and/or TypeScript.

• Proven ability to take end-to-end ownership of complex systems, from architecture and technical design through implementation, deployment and user experience.

• Experience designing and building APIs, third-party integrations, event-driven systems, workflow automation and internal operational tooling.

• Strong understanding of system reliability, scalability, SLAs, performance, failure handling and production operations.

• Hands-on experience with AI-enabled engineering and automation, ideally including AI agents, computer vision, MCP servers, connectors or production AI tooling.

• Experience solving engineering challenges that connect software with physical-world operations, such as logistics, fulfilment, imaging, inventory, shipping or asset management.

• Strong product and commercial mindset, with an understanding of how engineering decisions influence customer experience, operational performance and business outcomes.

• Comfortable working in a fast-paced, high-ownership environment, making pragmatic technical decisions and moving quickly while maintaining high standards of reliability.

Benefits

• Salary: $180k - $220k DOE.

• Equity.

• Medical, dental, and vision coverage.

• 401(k).

• Remote working.

Our client, early-stage Fintech company in San Francisco, are hiring a Senior Software Engineer to join the team remotely. The successful candidate will build and evolve the double-entry ledger that serves as the platform's financial system of record, while playing a key role in shaping the next generation of the platform, including a major ledger rebuild and the expansion of payment infrastructure.


Responsibilities

• Own and evolve the double-entry ledger, covering transactions, balances, holds, reversals, payment states, point-in-time balances and comprehensive audit trails.

• Design and build highly reliable money-movement infrastructure across ACH, instant payments, wires, cards and emerging settlement rails.

• Develop scalable payout and settlement systems, supporting instant payouts, batch processing and high-volume marketplace transactions.

• Build automated reconciliation systems that detect and resolve discrepancies across internal ledgers, banking partners and payment processors.

• Design and scale the infrastructure underpinning lending products, including disbursements, repayments, partial payments, reversals and complex loan lifecycles.

• Build resilient multi-provider payment architecture, incorporating webhooks, idempotency, retries, state machines and robust failure handling.

• Develop controls for high-value financial transactions, including fraud prevention, disputes, chargebacks, limits, holds and settlement management.

• Ensure complex financial activity is translated into a clear and intuitive customer experience, including balances, transaction histories, funding sources and settlement activity.

• Make pragmatic architectural decisions that balance delivery speed with financial accuracy, reliability, scalability and long-term maintainability.

• Provide senior technical leadership through architecture, code reviews, documentation and mentorship, raising engineering standards across the team.

Skillset

• Minimum of 5 years of professional software engineering experience, with a strong focus on backend, payments, fintech or financial systems.

• Strong proficiency in Python, PostgreSQL, AWS, SQL and relational data modelling.

• Hands-on experience building and operating real-world money movement systems, including ACH, instant payments, wires, cards or comparable payment rails.

• Experience designing, building, migrating or owning a double-entry ledger in a production environment.

• Strong understanding of webhooks, idempotency, race conditions, state machines, eventual consistency and reconciliation.

• Experience building highly reliable systems for high-value financial transactions, where accuracy, resilience and traceability are critical.

• Strong knowledge of transactional database architecture, particularly for high-volume, concurrent and financially sensitive workloads.

• Experience within payments, fintech, lending, marketplaces or other complex financial transaction environments.

• Strong ownership and product mindset, with the ability to balance speed, financial correctness, customer experience and long-term architecture.

• Experience with React and TypeScript would be a plus.

Benefits

• Salary: $140k - $180k DOE.

• Equity.

• Medical, dental, and vision coverage.

• 401(k).

• Remote working.

Our client, a fast-growing AI FinTech company, is hiring a Staff-Level Software Engineer to join their team in New York. The successful candidate will take ownership of the foundational platform systems powering the company's AI products, building shared infrastructure that enables engineering teams to develop and deploy reliable, scalable AI solutions.


Responsibilities

• Design and develop the core AI agent platform, building shared frameworks for context management, verification, guardrails, evaluation, observability and developer tooling.

• Architect the financial context layer that enables AI agents to reason across ledger data, accounting policies, contracts, historical decisions, dimensions and permissions.

• Define and implement standards for AI reliability, auditability, verification and evaluation, ensuring AI-generated outputs can be trusted within critical financial workflows.

• Build scalable financial data infrastructure for ingesting, normalizing, reconciling and modeling data from ERPs, banks, billing, payroll, CRM and other enterprise systems.

• Design reliable orchestration systems capable of supporting complex, long-running and stateful AI workflows.

• Develop secure and fully traceable mechanisms for writing AI-generated actions back to ERPs and financial systems of record.

• Identify architectural bottlenecks and create reusable platforms, frameworks and abstractions that improve engineering productivity across the organization.

• Lead key architectural decisions across distributed systems, AI infrastructure, data platforms, enterprise integrations and product architecture.

• Collaborate directly with accountants, controllers, CFOs and customers to understand complex financial processes and translate them into scalable production systems.

• Remain deeply hands-on, using modern AI development and coding tools to design, build, test and ship production-grade systems.

Skillset

• At least 8 years of professional software engineering experience, including experience operating at Staff, Principal or equivalent senior IC level.

• Deep expertise in backend engineering and distributed systems, including areas such as data infrastructure, workflow engines, transactional systems, integration platforms or AI agent platforms.

• Strong programming skills in Python, Go, Java, Rust or a comparable modern language, with the ability to quickly become productive in Python.

• Proven experience designing platform infrastructure, frameworks and architectural abstractions that support multiple engineering teams and products.

• Track record of leading significant technical and architectural decisions, particularly within ambiguous, rapidly evolving environments.

• Strong understanding of system reliability, scalability, observability, data integrity, security and production infrastructure.

• Ability to quickly understand complex business domains and translate workflows and requirements into scalable, reusable technical solutions.

• A high-ownership approach, with the ability to identify problems, define solutions, make technical decisions and deliver with minimal direction.

• Experience working within an early-stage technology company, ideally from pre-seed through Series B.

• Comfortable remaining deeply hands-on across AI systems, backend engineering, infrastructure, data platforms and product development.

Benefits

• Salary: $200k - $250k DOE.

• Equity:

• Comprehensive medical, dental and vision insurance.

• 401(k) match.

Our client is a venture-backed fintech startup, is hiring a hands-on Head of Engineering to join the team full-time in New York. The successful candidate will take full ownership of the company's technical direction, leading decisions across architecture, backend engineering, data, infrastructure, integrations and security, as well as building and shipping the company's most critical systems while defining the engineering standards that will support the team's growth.


Responsibilities

• Design and own a multi-tenant authorization architecture that controls access to sensitive information at the system level.

• Develop and maintain credentialed integrations, beginning with the IRS and expanding to credit bureaus, government systems, courts and financial institutions.

• Manage complex third-party API workflows, including credential lifecycles, data reconciliation, asynchronous processing, webhook failures, retries and exception handling.

• Establish and maintain a robust security and privacy framework covering PII encryption, access controls, secrets management, audit logging, monitoring and incident response.

• Build systems that protect data provenance, accuracy, and defensibility, ensuring every material value can be traced to its original source.

• Lead critical architectural decisions across backend systems, data infrastructure, application security, reliability and scalability.

• Write and ship production code, particularly for the company's most sensitive and technically complex systems.

• Define and uphold engineering standards across code quality, testing, documentation, observability, ownership and operational readiness.

• Recruit, assess, mentor and lead the engineers who will help build and scale the platform.

Skillset

• Extensive experience designing, building and operating production systems that manage regulated, confidential or highly sensitive information.

• A hands-on approach, with the ability and willingness to write code and personally deliver critical production systems.

• Strong technical expertise across backend engineering, systems architecture, data engineering, infrastructure and security.

• Proven experience delivering software where errors carry significant financial, legal, regulatory or operational consequences.

• The ability to design secure, reliable, traceable and defensible systems, and clearly explain the architectural decisions behind them.

• Experience owning complex integrations involving third-party APIs, credential chains, webhooks, asynchronous workflows, reconciliation processes and inconsistent data.

• Strong knowledge of multi-tenant authorization, granular permission models, encryption, audit trails, monitoring and incident-response procedures.

• Experience taking final responsibility for critical technical decisions and owning the resulting outcomes.

• The ability to balance rapid execution with the accuracy and rigor required when handling sensitive financial and personal information.

• Previous experience as a Head of Engineering, founding engineer, technical founder, or senior engineering leader within an early-stage company, ideally within fintech, legal or another regulated sector.

Benefits

• Salary: $225k - $275k DOE.

• Meaningful equity.

• Medical, Dental and Vision insurance.

Our client, a fast-growing AI technology company is hiring a hands-on Director of Software Engineering to join the team in Cleveland, Ohio. The successful candidate will provide strategic and technical leadership across multiple engineering teams, from building high-performing teams, scaling complex software platforms, strengthening engineering practices, and delivering secure, reliable, enterprise-grade technology.


Responsibilities

• Provide strategic and technical leadership across multiple software engineering teams.

• Develop engineering roadmaps aligned with business objectives, product strategy and organizational growth.

• Lead, mentor and develop Engineering Managers and Senior Engineers while building high-performing teams.

• Oversee the delivery of complex software initiatives, ensuring quality, reliability and timely execution.

• Establish engineering standards, architectural principles, coding practices and operational best practices.

• Guide system architecture, scalability, platform modernisation and long-term technical strategy.

• Ensure software solutions meet high standards for performance, security, reliability and availability.

• Drive continuous improvement across Agile, DevOps, CI/CD and quality assurance practices.

• Partner with Product, Data, Security, Infrastructure and other cross-functional teams to align priorities and delivery.

• Communicate engineering strategy, performance, risks and priorities to senior and executive stakeholders.

Skillset

• Bachelor's or Master's degree in Computer Science, Engineering or similar.

• At least 10 years of software engineering experience, including a minimum of 5 years in senior engineering leadership roles.

• Proven track record leading large, distributed or multidisciplinary engineering teams.

• Strong expertise in modern software development, cloud architecture, DevOps and CI/CD practices.

• Experience designing and delivering scalable enterprise software, microservices, APIs and distributed systems.

• Demonstrated success delivering complex software products and platforms at scale.

• Strong understanding of high-availability, secure, and resilient systems.

• Hands-on experience with AWS, Azure, or GCP, alongside Kubernetes, containers and Infrastructure as Code.

• Excellent leadership, communication, stakeholder management and strategic decision-making skills.

• Experience managing engineering budgets, workforce planning and operational performance.

Benefits

• Salary: $150k - $200k.

• Performance Bonus.

Our client, a growing AI startup within the financial services industry, is hiring a Founding Engineer to join their team in New York. The successful candidate will be responsible for building customer-facing products, developing robust data infrastructure, enhancing AI agents, and creating the tools that enable the organization to continuously expand and become a leader in the financial market.


Responsibilities

• Design, develop and deploy frontend and customer-facing features, including real-time systems that respond to changing information.

• Build data pipelines, tools and infrastructure that enable analysts to integrate new sources and expand sector coverage efficiently and reliably.

• Enhance the tools, skills and infrastructure that improve the capability, reliability and autonomy of AI agents.

• Contribute across the full technology stack, spanning data, backend, infrastructure and frontend development.

• Take ownership of projects from inception through to production, including data validation, QA, instrumentation, deployment and ongoing maintenance.

• Apply sound engineering judgment to determine when AI-driven reasoning is appropriate and when deterministic software provides the better solution.

• Develop robust agent infrastructure with a focus on reliability, observability, durable execution and appropriate controls.

Skillset

• Demonstrated experience designing, building and operating production-grade software.

• Strong expertise in backend engineering, data infrastructure, applied AI or product development.

• Hands-on experience using AI agents to solve real-world business and engineering problems.

• Experience orchestrating coding agents and working effectively with multiple agentic systems.

• Strong technical judgment when determining whether to leverage AI reasoning or deterministic software.

• Ability to work across the technology stack and quickly adapt to new tools, technologies and infrastructure.

• A strong sense of ownership, with the drive to take responsibility for outcomes from start to finish.

• Comfortable working in a fast-paced, early-stage environment where priorities and challenges evolve rapidly.

• Strong understanding of building reliable, observable and scalable production systems.

• Experience in capital markets, financial research or investment technology is a bonus.

Benefits

• Salary: $150k - $200k.

• Equity.

Our client, a growing Agentic AI-driven startup, is hiring a Platform Engineer to join the team in San Francisco. The successful candidate will take ownership of the reliable operation, deployment and continuous improvement of the platform across all product lines, including SaaS and customer self-hosted environments.


Responsibilities

• Deploy, manage and continuously upgrade platform environments across SaaS and customer-hosted infrastructure.

• Monitor deployments, proactively identify issues and implement effective solutions before they impact customers.

• Provide technical support to customers, including troubleshooting, customization and tailored solutions.

• Develop and improve internal processes for software releases, platform operations and customer support.

• Build internal tools that improve troubleshooting, automation and day-to-day operational efficiency.

• Participate in on-call rotations and lead production incident response through to resolution.

• Collaborate with engineering and customer-facing teams to enhance platform reliability, performance and overall user experience.

Skillset

• Strong Linux troubleshooting and debugging skills, with the ability to diagnose and resolve complex system-level issues.

• Deep understanding of Linux systems, including cgroups, filesystems, processes and container technologies.

• Hands-on experience with Kubernetes, including workloads, networking, volumes, ConfigMaps and Secrets.

• Experience working with major cloud platforms such as AWS, GCP, Azure or OCI, alongside Terraform.

• Solid understanding of software deployment, release management and operational processes.

• Knowledge of distributed systems, networking and security fundamentals.

• Proficiency with Linux tools and technologies including Bash, SSH, jq, curl, TCP/UDP, Unix sockets, ps, strace and /proc.

• Familiarity with Go and TypeScript, with the ability to work across multiple programming environments.

• Experience working with infrastructure and services such as Redis and MongoDB.

• Excellent communication, customer service and problem-solving skills.

Benefits

• Salary: $200k - $250k.

• Comprehensive benefits package.

Our client, an AI-driven startup transforming the healthcare sector, is hiring a Senior/Staff Product Manager to join the team in San Francisco. The successful candidate will define and lead the next generation of the company's AI developer platform, building on industry-leading integrations with Anthropic's Claude, Microsoft Copilot and Salesforce to connect unified health records with leading payers and digital health applications.

Responsibilities

• Define and drive the product vision and roadmap for evolving the company's MCP Server into a comprehensive AI SDK, expanding from data retrieval to clinically grounded insights and action-oriented capabilities.

• Own the product strategy for the company's clinical data knowledge graph, defining how AI agents understand and navigate relationships across FHIR resources, including conditions, medications, labs, encounters, care plans, goals and their temporal relationships.

• Shape an exceptional AI developer experience, designing SDKs, tools, skills, prompts, structured artifacts and composable MCP capabilities that enable developers to build powerful health AI applications.

• Define the insight-to-action journey, enabling AI agents to identify care gaps, follow-up needs, preventive opportunities and appropriate next steps for patients.

• Develop the product strategy for connecting AI-generated insights to real-world care delivery, including providers, laboratories, pharmacies, specialists, telehealth platforms and care navigation services.

• Ensure SDK capabilities are built on the company's identity, consent, authorization and data provenance infrastructure, ensuring patients remain in control of how their health data is accessed and used.

• Identify, evaluate and build strategic ecosystem partnerships that expand the SDK's ability to connect patients with relevant healthcare providers, services and solutions.

• Collaborate closely with Engineering, Design and Clinical teams to translate product strategy into clear requirements, technical specifications, and production-ready capabilities.

• Own launch readiness, adoption and product success metrics, using developer and customer feedback to continuously improve the platform and accelerate adoption.

Skillset

• At least 7 years of technical product management experience, including a minimum of 3 years working across healthcare data, AI/ML platforms, developer infrastructure or related technologies.

• Deep expertise in the FHIR data model and the relationships between clinical resources, ideally with experience developing products using EHR data at scale.

• Strong understanding of the AI developer ecosystem, including MCP servers, agent frameworks, prompt engineering, tool and skill registries, structured outputs and emerging AI development platforms.

• Proven experience building and managing developer-facing products, including SDKs, APIs, platforms or technical infrastructure.

• Demonstrated ability to operate at Staff or Principal level, owning product strategy from initial vision through execution, launch and ongoing optimization.

• Strong ability to translate complex clinical data into actionable insights, recommendations and next-best actions.

• Understanding of identity, consent, authorization, auditability and data provenance, particularly within healthcare or other highly regulated environments.

• Proven experience developing and managing strategic technology and ecosystem partnerships, ideally within healthcare or digital health.

• Excellent technical communication and stakeholder management skills, with the ability to collaborate closely with engineering teams and translate complex technical concepts into clear product requirements.

• A strong builder's mindset, with the ability to thrive in an early-stage environment, navigate ambiguity, make decisive product decisions, and move quickly from concept to production.

Benefits

• Salary: $200k - $250k.

• Equity.

• Comprehensive medical, dental and vision insurance.

• 401(k) and wellness benefits.

• Remote working options.

Our client, a venture-backed AI Startup, is hiring a talented ML/AI Research Engineer to join their team in San Francisco. The successful candidate will lead the design, training, evaluation and optimization of agent-native AI systems, working at the cutting edge of LLMs, vector search, graph reasoning and reinforcement learning to build the intelligence layer on top of their enterprise data fabric.


Responsibilities

• Fine-tune and evaluate open-source LLMs (e.g. LLaMA 3, Mistral, Falcon, Mixtral) for enterprise-grade applications.

• Build and optimize RAG pipelines using tools such as LangChain, LangGraph, LlamaIndex or Dust.

• Develop and iterate on agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using real-world enterprise workflows.

• Design embedding-based memory systems with efficient, high-performance retrieval strategies.

• Implement reinforcement learning pipelines (RLHF, DPO, PPO) to improve agent behavior and decision-making.

• Create scalable evaluation frameworks, including synthetic evaluations, trace capture and explainability tooling.

• Own model observability, drift detection and alignment strategies across production systems.

• Optimize inference latency and GPU utilization across cloud and on-premise infrastructure.

Skillset

• Strong experience fine-tuning open-source LLMs using frameworks such as HuggingFace, DeepSpeed, vLLM, FSDP and LoRA/QLoRA.

• Hands-on experience with modern alignment techniques, including SFT, RLHF and DPO pipelines.

• Proven ability to build high-quality training datasets and robust evaluation frameworks for LLM systems.

• Deep understanding of scaling and optimization trade-offs, including batching, context windows, precision and quantization.

• Experience building and deploying production-grade RAG systems.

• Familiarity with orchestration and retrieval tools such as LangChain, LangGraph and LlamaIndex, and vector databases (Weaviate, Qdrant, FAISS).

• Experience working across structured (SQL, graph) and unstructured data sources.

• Experience designing agent-based systems with memory, tool use, and multi-step reasoning.

• Strong understanding of agent workflows (e.g. Plan-Act-Reflect), including self-correction and multi-agent systems.

• Expertise in inference and retrieval optimization, including chunking strategies, reranking, and low-latency deployment (e.g. vLLM, TGI).

Benefits

• Salary: $180k - $240k

• Equity.

Our client, an early-stage AI startup, is hiring a Founding Engineer to join the team in New York. The successful candidate will play a key role in shaping both the product vision and technical direction of the business, building cutting-edge AI systems that accelerate scientific discovery through intelligent automation, multimodal machine learning and advanced data platforms.


Responsibilities

• Design, develop and deploy enterprise-grade AI solutions that empower scientific teams.

• Build advanced multimodal AI systems, including computer vision models, speech-to-text capabilities and intelligent AI agents.

• Develop scalable machine learning pipelines and data infrastructure to support scientific applications.

• Create AI models that analyze experimental data, uncover insights, predict outcomes and optimize processes.

• Convert complex laboratory data into structured, high-quality datasets for machine learning development.

• Work closely with research partners and customers to gather feedback, validate solutions and continuously improve products.

• Shape the company's technical architecture, engineering practices and long-term AI roadmap.

• Partner with founders and scientific leaders to drive product development and technical decision-making.

• Deliver robust, production-ready software with a focus on speed, quality and scalability.

Skillset

• Proven experience designing, building and deploying production software within a startup, research environment or leading technology organization.

• Strong machine learning expertise with deep knowledge in at least two of the following areas: Geometric Deep Learning, Graph Neural Networks (GNNs), Diffusion Models, Generative AI or ML Interatomic Potentials.

• Experience developing and delivering AI-powered products that solve real-world customer challenges.

• Strong software engineering capabilities across backend development, machine learning infrastructure and cloud-based environments.

• Hands-on experience building scalable data pipelines, ML workflows and production AI systems.

• Ability to take ownership across the entire product lifecycle, from initial concept and experimentation through to deployment and optimization.

• Comfortable working in a fast-paced startup environment with a high level of autonomy, ownership and accountability.

• Strong analytical, problem-solving and communication skills with the ability to collaborate across technical and scientific teams.

Benefits

• Salary: $150k - $220k DOE.

Our client, an innovative AI and Data company, is hiring a Data Operations Lead to join the team in New York. The successful candidate will own the end-to-end data lifecycle, shaping data operations, developing scalable processes, managing external partners and ensuring the highest standards of dataset quality to deliver high-quality, production-ready datasets for leading AI research teams.


Responsibilities

• Own the end-to-end delivery of high-quality AI training datasets, from raw audio data collection through to production-ready outputs.

• Collaborate with AI research teams and external partners to define, manage and deliver dataset requirements.

• Support the development and execution of commercial data agreements, ensuring successful delivery against customer expectations.

• Design, build and optimize operational workflows across transcription, annotation, quality assurance and dataset production.

• Develop robust data quality frameworks, acceptance criteria and validation processes to maintain delivery standards.

• Lead outsourced and international data operations teams, ensuring quality, efficiency and timely delivery.

• Partner with engineering teams to enhance data pipelines, tooling and operational scalability.

• Identify and implement improvements to increase dataset quality, reliability and operational efficiency.

• Serve as a key liaison between customers, internal stakeholders, engineering teams and external vendors.

• Contribute to the company's data strategy and help scale data operations as the organization grows.

Skillset

• Minimum of 5 years of experience building and scaling data operations, data pipelines or AI/ML data workflows.

• Proven experience working with audio, speech or multimodal datasets within AI or machine learning environments.

• Strong track record managing external data partnerships, dataset delivery and AI training data programs.

• Experience leading global or outsourced teams focused on data annotation, transcription and quality assurance.

• Strong understanding of data quality frameworks, validation processes and operational performance metrics.

• Technical proficiency across data pipelines, cloud infrastructure and AI/ML workflows.

• Knowledge of digital audio fundamentals, including sample rates, voice activity detection (VAD) and audio processing formats.

• Experience developing or managing AI training datasets for applications such as ASR, TTS, speaker identification or conversational AI.

• Familiarity with audio processing and data tools such as Librosa, FFmpeg, SoX, torchaudio, and cloud platforms including AWS, GCP or Azure.

• Entrepreneurial mindset with the ability to thrive in a fast-paced environment, take ownership and make decisions with limited information.

Benefits

• Salary: $180k - $220k

• Comprehensive benefits package.

Our client, an AI-driven startup within the manufacturing industry, is hiring a hands-on Director of AI to join their team in San Jose, CA. The successful candidate will play a key role in shaping the company's AI vision, developing the knowledge graph, agentic systems and machine learning infrastructure that drive intelligent decision-making across global manufacturing operations.


Responsibilities

• Lead the design, development and evolution of the company's AI and machine learning architecture.

• Build, deploy and scale production-grade knowledge graph systems that power intelligent decision-making.

• Develop advanced AI agents capable of reasoning across complex manufacturing, supply chain and operational datasets.

• Create intelligent planning, forecasting and decision-support solutions using real-time data.

• Collaborate closely with founders, engineers and customers to transform industry challenges into practical AI-powered products.

• Establish and maintain best practices for model development, deployment, evaluation, monitoring and governance.

• Support the growth of the AI function by helping to recruit, mentor and develop future AI and machine learning team members.

Skillset

• At least 6 years of experience in artificial intelligence, machine learning or applied research, with a strong record of delivering real-world impact.

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning or similar.

• Demonstrate a proven ability to build, deploy and scale AI and machine learning systems in production environments.

• Have hands-on experience designing, implementing and managing knowledge graph solutions at scale.

• Possess deep expertise in agentic AI, reasoning frameworks, retrieval systems or multi-agent architectures.

• Show a strong understanding of modern machine learning infrastructure, MLOps practices and model lifecycle management.

• Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.

• Track record of building and scaling enterprise SaaS products and platforms is a plus.

• Exposure to manufacturing, supply chain or industrial technology environments is a bonus.

Benefits

• Salary: $160,000-$180,000

• Meaningful Equity.

• Flexible hybrid working.