AI Infrastructure Lead Jobs

Our client, a fast-growing AI company impacting the staffing industry, is hiring a hands-on Senior Full Stack Software Engineer to join the team in New York City. The successful candidate will play a key role in scaling the infrastructure powering the company's AI-driven platform, while helping define technical strategy and remaining hands-on across backend systems, infrastructure and frontend development.


Responsibilities

• Design and scale backend architecture for AI-powered products.

• Drive technical delivery and influencing key architectural decisions.

• Develop end-to-end AI applications in collaboration with product teams.

• Enhance the reliability, observability and scalability of production environments.

• Support and mentor engineers while contributing to engineering best practices and culture.

• Work across the full stack when required, from infrastructure through to frontend development.

Skillset

• At least 10 years of software engineering experience with strong full-stack expertise.

• Previous experience in roles such as Senior Engineer, Staff Engineer, Principal Engineer, Technical Lead or Engineering Lead.

• Experience working in both high-growth early-stage startups (Series A or earlier) and later-stage scale-up environments (Series D+).

• Proven hands-on technical leadership experience.

• Strong background in building and scaling distributed, high-availability systems.

• Comfortable contributing across backend, infrastructure, and frontend environments.

• Solid production infrastructure experience, including Kubernetes, Docker, ECS, EKS, and EC2.

• Strong technical skills across JavaScript/Node.js, Python, React, AWS and MySQL/PostgreSQL.

• Experience building AI-powered or LLM-based products is an advantage.

Benefits

• Salary: $160k - $220k (depending on experience).

• Equity.

Our client, an AI-driven startup, is hiring a Founding Lead Engineer to join their team in San Francisco. The successful candidate will play a key role in building and scaling the platform, from writing production-grade code, shaping technical architecture, managing external engineering partners, making strategic build-versus-buy decisions and helping define the company's long-term technology vision.


Responsibilities

• Develop AI-powered systems that convert fragmented vendor catalogues into structured, searchable product data.

• Build ingestion, enrichment, tagging and recommendation pipelines to support large-scale inventory management.

• Create intelligent workflows that seamlessly connect inspiration, discovery and purchasing experiences.

• Design scalable backend infrastructure and product architecture capable of supporting rapid growth.

• Partner closely with the founder/CEO to rapidly translate customer feedback into intuitive product features.

• Assess, implement and optimize modern AI tools, APIs and multimodal technologies.

• Provide technical guidance to contractors and engineering contributors while maintaining high development standards.

• Contribute to the company's long-term technical strategy as the platform and engineering function evolve.

Skillset

• Proven experience designing, building and launching modern web applications from concept through to production.

• Strong technical expertise across backend engineering, APIs, cloud platforms and scalable system architecture.

• Hands-on experience working with AI-driven products, large language models, retrieval systems or intelligent automation workflows.

• Excellent product judgement with the ability to balance speed of execution, quality and practical decision-making.

• Comfortable thriving in an early-stage startup environment with significant ownership and autonomy.

• Experience leading technical initiatives, collaborating across teams or mentoring engineers.

• Genuine interest in building user-focused AI products that solve meaningful operational and workflow challenges.

Benefits

• Salary: Circa. $175k.

Our client, a data-driven organization in the logistics industry, are hiring their first Head of Security to join their team remotely. The successful candidate will establish and lead the company's security, compliance and trust function from the ground up, as well as take ownership of security, risk, governance and organizational trust across the business.


Responsibilities

• Lead and maintain SOC 2 Type II compliance programmes.

• Drive compliance initiatives including ISO 27001, HIPAA readiness, GDPR and additional enterprise security frameworks.

• Build and scale governance, risk and compliance processes across the organisation.

• Lead enterprise customer security reviews, audits, questionnaires and vendor assessments.

• Partner with engineering teams on secure SDLC practices, threat modelling and application security.

• Strengthen API and integration security across customer-facing systems and platforms.

• Own cloud and infrastructure security across IAM, encryption, monitoring, logging and vulnerability management.

• Build and manage incident response processes, escalation procedures and post-incident reviews.

• Define and enforce controls around sensitive operational, telemetry, location and PII data.

• Report directly to the CEO and provide regular updates to leadership and the board on security posture and risk.

Skillset

• 10 years of experience within cybersecurity, including at least 3 years leading security functions in SaaS or data-platform environments.

• Previous experience operating as a Head of Security, CISO or in a similar security leadership position.

• Proven track record delivering and managing SOC 2 Type II programmes end-to-end.

• Strong technical understanding of cloud security, application security, and modern SaaS architectures.

• Experience leading enterprise customer security reviews, audits, and risk assessments.

• Solid knowledge of governance, risk, and compliance frameworks within enterprise environments.

• Excellent communication skills with the ability to manage and influence senior stakeholders.

• Experience working with frameworks such as ISO 27001, HIPAA, FedRAMP, or similar standards is a bonus.

• Previous experience working within Seed to Series B startup environments is a plus.

• Relevant industry certifications such as CISSP, CISM, CCSP, or AWS Security Specialty would be highly desirable.

Benefits

• Salary: $200k - $260k DOE.

• Equity.

• 401(k) match

• Fully remote working within the U.S.

Our client, an Early-stage user data AI platform, are hiring a Senior Full Stack Engineer to join their team in New York. The successful candidate will help define both the organization's technology and culture from the ground up.


Responsibilities

• Own and ship end-to-end features across the full stack, from backend systems to frontend UX.

• Help define and evolve the architecture of core systems, with a focus on scalability and simplicity.

• Work closely with product to translate ambiguous ideas into clear technical direction and shipped experiences.

• Design and build user-facing systems that feel fast, intuitive and responsive.

• Contribute to shaping their engineering culture, standards and development practices.

• Identify and resolve system bottlenecks across infrastructure, data and application layers.

• Make pragmatic decisions on when to build, refactor or intentionally take on technical debt.

• Collaborate cross-functionally with design and product to refine UX as a system, not just a surface layer.

• Help mentor and raise the bar of the early engineering team as the company grows.

Skillset

• At least 7 years of software engineering experience, including setting technical direction and leading projects.

• Ability to maintain an exceptionally high bar for engineering quality, while still striving to be the best individual contributor on your team.

• Experience across the stack and ability to think holistically about code, infrastructure, data and user experience.

• Previous experience in an early-stage environment.

• Experience with AI/LLM workflows is a plus.  

Benefits

• Salary: $150k - $220k

Our client, a growing HealthTech organization, is hiring a Senior Software Engineer to join their team in New York. The successful candidate will be responsible for both the technical strategy and hands-on delivery, as well as defining the architecture and building scalable, reliable data systems that enable innovation in healthcare revenue cycle management.


Responsibilities

• Lead the Integrations Team to design, build, and scale EHR and healthcare system integrations.

• Define and deliver a clear long-term technical vision with strong execution.

• Own architecture for scalable, reliable integration systems.

• Establish engineering standards and best practices across the team.

• Design and maintain data pipelines, ETLs and ingestion systems.

• Build and evolve high-performance, reliable data infrastructure.

• Develop data models aligned with a Medallion architecture approach.

• Collaborate with internal teams and external healthcare stakeholders.

• Translate complex requirements into effective technical solutions.

• Hire, mentor and scale a high-performing engineering team.

Skillset

• At least 5 years of software engineering experience, with a focus on data engineering, data modelling and systems integrations.

• Proven experience leading engineering teams and delivering complex technical projects.

• Strong background working with healthcare systems and EHR data.

• Hands-on expertise with Snowflake, SQL Mesh, Temporal (or similar orchestration tools), Python, AWS, relational databases and Medallion architecture.

• Proven track record of building and optimising ETL processes and data pipelines.

• Excellent stakeholder management and communication skills.

• Comfortable working in a fast-paced startup environment.

• Strong prioritisation and project management capabilities.

• Ability to clearly communicate complex technical concepts to both technical and non-technical audiences.

Benefits

• Salary: $190k - $210k.

• Equity,

• Medical, dental and vision insurance.

Our client, an AI-driven startup focused in the digital media industry, are hiring a Senior/Staff Backend Engineer to join their team in Brooklyn, New York. The successful candidate will lead the organization's backend systems, driving technical direction, owning core infrastructure and shaping the growth of their backend team to support fast-growth expansion.


Responsibilities

• Design and implement a generation orchestration layer capable of supporting rapid user growth and high-demand workloads.

• Enhance observability across backend systems to proactively identify and resolve issues before they impact users.

• Optimize the database layer, including schema design, indexing strategies, migrations and overall performance at scale.

• Drive vendor and architectural decisions to enable new features and improve system reliability.

• Partner with the CTO, Product Engineer and Intelligence Engineering teams to deliver a stable, high-performance foundation for all clients.

Skillset

• At least 7 years of experience building resilient backend systems that operate at significant scale.

• Minimum of 5 years of TypeScript expertise with strong convictions on type safety, error handling and code structure.

• Demonstrated ability to design, deploy and maintain highly reliable systems.

• Hands-on experience with queue-based architectures, including job scheduling, orchestration and fault-tolerant workflows.

• Strong intuition for observability e.g. instrumentation, monitoring and proactively improving system reliability.

• Proven technical leadership e.g. defining architecture, making critical decisions and mentoring engineering teams.

• Experience with Convex or other real-time database architectures is a plus.

• Familiarity with creative tools, media pipelines or workflows involving complex asset management.

• Expertise in large-scale queueing and orchestration systems.

• Knowledge of serverless patterns and platforms, including Vercel, AWS Lambda and Google Cloud Run is an advantage.

Benefits

• Salary: $180k - $220k DOE.

• Equity.

• Comprehensive health and dental coverage.

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 Healthtech startup, are hiring a talented Product Manager to join the team in New York. The successful candidate will own the roadmap and execution of their  real-time neural monitoring platform, playing a pivotal role in translating clinical needs into scalable, high-impact products at the intersection of healthcare, machine learning and infrastructure.


Responsibilities

• Own and drive the product roadmap across clinical and infrastructure products.

• Lead discovery with clinicians, translating their needs into clear product requirements.

• Define and prioritize features across detection, alerting, visualization and data infrastructure.

• Partner directly with ML and platform engineers to navigate technical trade-offs and model behavior.

• Collaborate with regulatory and quality teams to ensure alignment with safety and submission requirements.

• Deliver product in short, iterative cycles with a small, high-impact team.

Skillset

• At least 4 years of product management experience in healthtech, medtech or other technically complex domains.

• Comfortable collaborating closely with engineering teams on system design and technical decision-making.

• Experience working on clinical or regulated products (FDA or equivalent).

• Clinical domain expertise in neurology or critical care.

• Experience with real-time or streaming data products.

• Background in ML-powered products where model behavior is a core element of the user experience is a bonus.

• Strong written and verbal communication skills.

• Self-directed, with the ability to operate quickly and independently.

Benefits

• Salary: $160k - $200k.

Our client, a global AI and Data organisation, are hiring a AI Solution Architect to join their growing team in Dublin, Ireland. The successful candidate will join the company as they scale their AI capability and be responsible to help design, govern and build out their AI infrastructure.


Responsibilities

• Design and architect AI solutions across the organisation.

• Contribute to the Architecture Review Board, influencing key decisions.

• Lead security reviews and establish robust reference architectures.

• Support engineering teams building AI infrastructure.

• Partner directly with clients to understand requirements and deliver solutions.

Skillset

• Strong cloud engineering experience (Azure or AWS).

• Proven system design and disaster recovery expertise.

• Confident in client-facing environments with ability to translate technical detail clearly.

• Experience working across multiple teams and projects in dynamic environments.

Benefits

• Competitive salary.

• Performance bonus.

• Comprehensive benefits package.

• Hybrid working - 3 days onsite, 2 days remote.

Our client, a leading Health Insurance organization, is hiring a Software Engineer to join the team remotely. The successful candidate will work hand-in-hand with their product team to develop AI-driven features that transform how HR teams and employees engage with benefits and healthcare systems, while also equipping the company's internal consulting teams with smarter, more efficient tools.


Responsibilities

• Partner with Product, Engineering and Design teams to uncover challenges and craft generative AI solutions using best-in-class software engineering practices.

• Integrate AI capabilities across the full stack (frontend, backend and infrastructure) seamlessly within their applications.

• Develop intelligent search and retrieval systems that help users find the information they need, faster.

• Design and optimise interactions with foundation models (GPT-4, Claude, Gemini) to deliver consistent and reliable results.

• Deliver AI-powered features with the same high standards of reliability, scalability and performance as all applications.

Skillset

• At least 5 years of experience building modern full-stack web applications using Python and JavaScript/TypeScript.

• Hands-on experience integrating foundation models directly via APIs to create intelligent applications.

• Proven ability to translate user needs into technical solutions while collaborating across cross-functional teams.

• Comfortable working across frontend, backend and infrastructure layers.

• Experience with advanced AI tools, including tool-calling, multi-agent systems and emerging AI capabilities.

• Machine Learning background, with experience in PyTorch, scikit-learn, and deploying proprietary or open-source models.

• Strong communicator capable of partnering effectively with non-technical stakeholders.

Benefits

• Salary: $150k - $200k DOE

• Stock options.

• Health, Dental and Vision insurance.

• Remote working.

Our client, a leading innovator in Insurance industry, are hiring an AI Engineer to join their growing team in New York. The successful candidate will play a key role in executing the company's AI strategy, along with designing, building and integrating intelligent, reliable and scalable AI-driven features into their core applications using modern web frameworks and cloud infrastructure.


Responsibilities

• Partner with product, engineering and design teams to uncover user challenges and deliver generative AI solutions using modern software development practices.

• Build end-to-end AI integrations across the full stack - frontend, backend and infrastructure - embedding intelligence directly into applications.

• Create smart search and information retrieval systems that enable users to access relevant data quickly and efficiently.

• Design and implement robust interactions with foundation models (e.g. GPT-4, Claude, Gemini) to ensure reliable and consistent performance.

• Deliver AI-powered features that uphold the highest standards of scalability, security and performance.

Skillset

• Minimum of 5 years of experience building modern full-stack web applications with Python and JavaScript/TypeScript.

• Practical experience integrating foundation models via direct API connections.

• Demonstrated ability to translate user challenges into elegant technical solutions and lead initiatives that deliver engaging AI experiences.

• Proficient across the full application stack, from frontend to backend and infrastructure.

• Knowledge of tool calling, multi-agent systems, and emerging frameworks such as Model Context Protocol (MCPs).

• Hands-on experience with Machine Learning (PyTorch, scikit-learn) and deploying proprietary or open-source models.

• Strong communication skills with a proven ability to collaborate effectively with cross-functional teams.

Benefits

• Salary: $170k - $200k

• Stock options.

• Healthcare, vision and dental insurance.