AI Engineer Jobs

Our client, an innovator in the financial services industry, is hiring a Staff Machine Learning Engineer to join their team remotely. The successful candidate will leverage their expertise in data science and ML operations to enhance model accuracy while optimizing infrastructure for both scalability and cost efficiency.


Responsibilities

• Enhance their pricing model to boost accuracy for high-value cards while minimizing infrastructure costs.
• Refine our underwriting model to optimize cash advance disbursements while keeping risk and default rates in check.
• Own the full ML lifecycle, from model training and feature engineering to deployment and monitoring.
• Work closely with pricing experts to gain deep domain knowledge of the trading card market and drive model improvements.
• Plan and run experiments and back tests to identify and validate features that strengthen predictive performance.
• Manage AWS infrastructure and develop code for our pricing API to ensure scalable, low-latency model delivery.

Skillset

• Minimum of 10 years of engineering experience, including at least four years focused on machine learning.
• Deep expertise in Python, with hands-on experience in libraries such as scikit-learn, XGBoost and pandas.
• Strong ML Ops and infrastructure background, with experience deploying models on AWS using ECS and Docker.
• Skilled in data orchestration and workflow management using Airflow for model training and batch processing.
• Demonstrated success improving model accuracy through feature engineering and experimentation.
• Experience with Random Forest, ensemble methods, or pricing/underwriting models in marketplace or fintech environments.

Benefits

• Salary: Circa. $250k.
• Equity.
• Remote working.
• 401(k) retirement benefits.
• Competitive healthcare package.

Our client, a Series A HealthTech startup, is hiring a Senior Frontend Software Engineer to join their team in New York. The successful candidate will build cutting-edge web applications that connect patients and providers in real time, delivering impactful solutions every day.


Responsibilities

• Design and implement scalable web applications using Vue 3.

• Create real-time communication tools for audio and SMS interactions with patients.

• Work closely with backend engineers to integrate and optimise APIs built with Node, Mongoose, Express or similar technologies.

Skillset

• Demonstrated ability to build highly available applications in regulated environments.

• Strong expertise in Vue 3 and TypeScript.

• Skilled at integrating and working with backend APIs on Node-based stacks.

• Experience in healthcare technology or SaaS products is a big plus.

• Knowledge of HL7, FHIR, and EHR standards is a bonus.

• Hands-on experience with cloud platforms such as AWS, Azure or GCP.

• Proficient with CI/CD workflows and version control systems (Git).

Benefits

• Salary: $120k - $150k DOE.

• Equity.

Our client, a Series A HealthTech startup, is hiring a talented Senior Backend Software Engineer to join their team in New York. The successful candidate will design, develop and maintain backend services and web applications in order to deliver reliable, compliant systems that enhance efficiency, reduce costs and drive better outcomes for more than 1.5 million patients.


Responsibilities

• Architect, develop and support backend services and web applications.

• Create real-time web applications for patient communication via audio and SMS.

• Build and manage resilient, long-running workflows for asynchronous and background processes.

• Work closely with frontend, product, and infrastructure teams to deliver dependable, compliant systems.

Skillset

• Proven track record of building highly available backend applications in regulated industries such as healthcare, finance, or compliance-driven SaaS.

• Proficient in TypeScript and/or Python for backend service development.

• Hands-on experience with Node.js, Express, Mongoose, Twilio or similar frameworks.

• Familiarity with Temporal or other distributed workflow orchestration systems (e.g. Cadence, AWS Step Functions, Conductor).

• Strong understanding of distributed systems fundamentals, including retries, idempotency, and failure handling.

• Practical experience with cloud platforms such as AWS, Azure, or GCP.

• Hands-on experience with CI/CD pipelines, infrastructure automation, and version control (Git).

• Exposure to DevOps practices, containerization, observability and deployment automation is a plus.

• Experience in healthcare technology or medium-sized SaaS startups is a bonus.

Benefits

• Salary: $150k - $200k DOE.

• Equity.

Our client, a leading partner in the Financial Services industry, are hiring a hands-on Tech Lead/Solutions Architect to join their team in New York. The successful candidate will be responsible for shaping the technical vision, designing and building scalable systems, and mentoring engineers, while remaining actively involved in the codebase.


Responsibilities

• Shape and guide the overall technical architecture and long-term engineering strategy.

• Lead and mentor a remote overseas DevOps/engineering team of 4–5 developers.

• Architect, design and develop scalable backend services and APIs.

• Remain hands-on with development, actively contributing to the codebase.

• Take ownership of features end-to-end, from design through delivery.

• Manage system orchestration and integration across services and platforms.

• Perform code reviews and uphold strong engineering and quality standards.

• Drive technical planning, documentation and development best practices.

• Facilitate or support Agile processes, including stand-ups, sprint planning and retrospectives.

• Work closely with internal stakeholders, with occasional participation in client discussions.

Skillset

• At least 8  years of professional software engineering experience.

• Proven experience in technical leadership or solution/architecture roles.

• Strong backend development background.

• Proficiency in JavaScript/TypeScript, Java (Spring Boot) and PostgreSQL.

• Experience designing, building and scaling modern backend systems and services.

• Demonstrated expertise in code reviews, engineering standards and mentoring developers.

• Comfortable leading and collaborating with distributed teams.

• Ability to translate business requirements into scalable technical architectures and delivery plans.

• Experience or exposure to DevOps practices and system orchestration.

• Able to balance strategic architectural thinking with hands-on coding and implementation.

Benefits

• Salary: $180k - $200k

• Potential Equity.

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.

Our client, an exciting AI-driven startup, is hiring a Backend/Full Stack Engineers to join the team in San Francisco. The successful candidate will join a tight-knit team of top engineers, pioneering the next generation of websites and online commerce powered by LLMs (Large Language Models).


Responsibilities

• Design, build and maintain scalable web applications and backend systems that power AI-driven experiences.

• Collaborate closely with product and design teams to rapidly iterate on 0?1 features and experiments.

• Implement and optimise LLM integrations, retrieval systems and AI-powered workflows.

• Build robust data pipelines, real-time data flows and distributed systems to support dynamic applications.

• Ensure high-quality user experiences through careful attention to performance, reliability and usability.

• Participate in architectural decisions, code reviews and knowledge sharing to raise the team’s technical bar.

• Monitor and improve system observability, performance and security.

• Stay ahead of AI, web and infrastructure trends to continuously improve our products and engineering practices.

Skillset

• Proven experience taking products from 0?1, balancing speed, scalability and quality - whether as a founder or early-stage startup engineer.

• Hands-on expertise with cutting-edge AI models, LLM retrieval systems or data-intensive applications, with a strong understanding of current and emerging capabilities.

• Passionate about crafting high-quality user experiences and tackling the practical challenges of building AI-powered products.

• Successfully shipped production LLMs or consumer-facing applications that users rely on and enjoy.

• Built recommendation engines or critical data infrastructure that scale reliably.

• Proficient with Postgres, ElasticSearch, AWS, and infrastructure-as-code (IaC) tools.

• Familiar with modern stacks and languages such as Elixir, Go, TypeScript, NextJS, Fastify, Python and similar technologies.

• Experienced in model-based evaluation, monitoring and observability systems to ensure product reliability.

Benefits

• Salary: $180k - $220k DOE.

• Health insurance for you and your family.

• 401k plan.

Our client, an exciting AI-driven startup, is hiring an Infrastructure Engineer to join the team in San Francisco. The successful candidate will be responsible to design, build and maintain the infrastructure and tooling that drive the next generation of AI products, including shaping how the company builds, operates and monitors its systems in production.


Responsibilities

• Design, implement and maintain AWS infrastructure across compute, networking, storage, IAM, monitoring, logging and security.

• Manage infrastructure-as-code tooling to codify, version and deploy systems reliably.

• Work closely with engineers and stakeholders to map dependencies, build deployment pipelines and ensure seamless rollouts.

• Balance priorities across feature delivery, reliability, technical debt and infrastructure evolution, as well as making informed decisions, sequencing work effectively and communicating trade-offs clearly.

• Ensure production system reliability by defining SLAs, setting up monitoring and alerting, managing incident response and contributing to post-mortems for continuous improvement.

• Identify and execute improvements proactively, enhancing infrastructure performance, scalability and operational efficiency.

Skillset

• Extensive AWS expertise including EC2, ECS, Lambda, VPC, S3, RDS, IAM, CloudWatch and related services.

• Proven experience with infrastructure-as-code tools such as Terraform or Pulumi in production environments.

• Hands-on experience building CI/CD pipelines, for example using GitHub Actions.

• Strong understanding of reliability engineering, including monitoring, alerting, incident response, capacity planning, chaos testing and load management.

• Excellent communication skills, able to clearly explain infrastructure, trade-offs, reliability metrics and deployment processes to both technical and non-technical stakeholders.

• Previous startup experience is a plus.

• Familiarity with Elixir and TypeScript is desirable.

• Knowledge of security compliance frameworks such as SOC2 and ISO27001.

• Experience with Kubernetes/EKS is a bonus.

Benefits

• Salary: $185k - $250k DOE.

• Health insurance for you and your family.

• 401k plan.

Our client, an innovator in the healthcare industry, is hiring a hands-on Tech Lead Manager (Machine Learning) to join their team in Utah. The successful candidate will lead the development of the Personalization Engine, combining hands-on machine learning engineering with team leadership to build and scale production ML systems that deliver real-world impact.


Responsibilities

• Take ownership of the machine learning system that powers the organization’s Personalization Engine.

• Lead the end-to-end ML lifecycle, including model development, deployment, monitoring and optimization.

• Ensure the platform remains reliable and scalable across millions of healthcare transactions.

• Build advanced ML solutions such as ensemble models, reinforcement learning approaches and multi-armed bandit systems.

• Architect and maintain high-performance MLOps infrastructure, including feature stores, data pipelines and monitoring systems.

• Strengthen feedback loops so models continuously learn and improve based on real patient behaviour.

• Lead, manage and mentor a team of machine learning engineers.

• Carry out thorough code and system design reviews to uphold strong technical standards.

• Promote a culture focused on experimentation, continuous learning and meaningful impact.

• Partner closely with product and design teams to translate complex patient journey challenges into ML-powered solutions.

Skillset

• At least 6 years of experience designing and deploying machine learning systems in production environments at scale.

• Proven experience building personalisation or recommendation engines for consumer-facing products (e.g. fintech, e-commerce).

• Strong programming capabilities in Python and SQL.

• Minimum of 2 years’ experience leading teams, managing engineers or operating as a technical ML lead.

• Hands-on experience across the entire ML lifecycle, including data pipelines, model development and MLOps.

• Ability to translate business challenges into practical machine learning solutions.

• Experience incorporating Generative AI into personalisation platforms or features is a bonus.

• Broader product engineering leadership experience beyond ML-focused systems.

Benefits

• Salary: $195,000 - $245,000 DOE.

• Equity.

• Flexible and Remote working options.

• Health benefits.

• 401(k) with 100% match up to 3%

Our client, an innovator in the healthcare industry, is hiring an AI Engineer (Applied Scientist) III to join their team in Utah. The successful candidate will combine data science, experimentation and production engineering to design, build and optimize AI-driven workflows, helping to enhance platform performance and improve the patient experience.


Responsibilities

• Build and enhance features for the organization’s AI voice agent, using production-level coding alongside prompt and context engineering.

• Design and execute structured experiments, breaking larger objectives into clear, testable hypotheses.

• Deliver features iteratively, analyze real user interactions and continuously optimize the agent’s performance and behavior.

• Analyze both structured and unstructured data, including call transcripts and patient account information.

• Collaborate with engineers, scientists, designers and product managers to deliver effective solutions.

• Utilize AI-enabled coding tools to accelerate development and experimentation.

• Contribute to a fast-paced team focused on improving patient financial experience.

Skillset

• At least 3 years of experience working in a structured product development environment with frequent product releases.

• Proven experience collaborating with cross-functional teams and translating business requirements into effective technical solutions.

• Strong understanding of scientific experimentation methods alongside solid software engineering practices.

• Proficiency in modern programming languages, with Python and TypeScript preferred.

• Experience using AI-assisted coding tools to support development workflows.

• Strong analytical skills, with the ability to investigate and interpret complex datasets.

Benefits

• Salary: $170,000 - $215,000 DOE.

• Equity.

• Flexible and Remote working options.

• Health benefits.

• 401(k) matching up to 3%.

Staff Machine Learning Engineer
Location: Remote

Are you tired of being kept in a restricted creative box with limited autonomy to push boundaries and ideas to solve problems with ML? 

Or not seeing your work directly impact the companies mission? 

If so , my HealthTech client is looking for a Staff ML Engineer who will love being in an autonomous environment where you will be given a problem area but full autonomy to be creative, push new ideas and build the ML solutions you feel is best. 

You'll join a smart and curious team who like to be challenged working on areas like Recommender Systems, LLMs & NLP, Timeseries and MLOps.

You'll achieve success here by combining your technical ML/AI end-to-end building skills with high positive energy and clear articulate communication skills. 

What else is in it for you? 

• Base Salary from 210-260k 
• Equity/Stocks

What do you need to be successful? 

• Are a technical leader who can work and manage their own projects and solutions with full autonomy. Like a Staff/ Principal ML Engineer / Scientist
• You can clearly articulate your thoughts and write and communicate them clearly.
• Build ML/AI solutions end to end in the ML Lifecycle from research to production
• Comfortable with being challenged and taking feedback to build better solutions with the right outcomes
• Can move with speed and intent and comfortable with life building a startup/scaleup

Interested? Click the apply or For more info reach out at anthonyh@alldus.com

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced AI/ML Engineer to join their team in Los Angeles, California. The successful candidate will lead the design and implementation of AI verification pipelines, develop robust evaluation systems and deliver production-ready features impacting millions of users.


Responsibilities

• Lead the architecture and implementation of AI verification pipelines to ensure robust, reliable model performance.

• Design, build and maintain evaluation infrastructure for AI systems at scale.

• Develop production-ready AI features that are deployed to millions of users.

• Create reasoning systems that convert probabilistic AI outputs into deterministic, auditable recommendations.

• Collaborate with cross-functional teams to integrate AI-native products into broader platforms.

• Continuously monitor, test and improve AI systems to maintain performance, security and reliability.

Skillset

• Deep expertise in machine learning, AI verification and evaluation frameworks.

• Strong experience with probabilistic modeling, reasoning systems and knowledge graphs.

• Proficiency in Python and modern ML/AI libraries (e.g. TensorFlow, PyTorch, JAX).

• Experience building production-scale AI systems that serve millions of users.

• Strong understanding of software engineering principles: version control, CI/CD, testing, and deployment.

• Familiarity with adversarial testing, verification pipelines, and AI auditing.

• Experience in AI-native product design and implementation.

• Knowledge of cloud platforms (AWS, GCP, or Azure) for scalable AI infrastructure.

• Research experience in AI interpretability, explainability or safety is a bonus.

Benefits

• Salary: $350k - $450k DOE.

Our client, an AI-driven organization impacting the ecommerce market, is hiring an experienced Product Engineer to join their team in Los Angeles, California. The successful candidate will be tasked with a highly technical and product-focused role, offering the opportunity to own systems end-to-end, from underlying infrastructure and reasoning layers to user-facing features.


Responsibilities

• Deliver scalable AI-powered product features serving millions of users.

• Architect adversarial verification pipelines to ensure robust, reliable model outputs.

• Build evaluation systems to assess reasoning quality and system performance.

• Embed knowledge graph interfaces seamlessly into product workflows.

• Convert probabilistic AI outputs into deterministic, auditable, and user-ready recommendations.

• Collaborate closely with research, design, and product teams to accelerate ideas from concept to launch.

Skillset

• Proven experience as a Product Engineer delivering complex systems to production.

• Solid background in AI systems, evaluation frameworks or reliability engineering.

• Experience working with knowledge graphs or other structured data systems.

• Skilled at anticipating and addressing adversarial model failure modes.

• Comfortable owning features end-to-end, from architecture to polished user experience.

• Demonstrates high agency, strong product intuition and a bias toward shipping.

Benefits

• Salary: $350k - $450k DOE.

Our client, a growing AdTech organization, are hiring a hands-on Chief Technology Officer to join their team in New York. The successful candidate will combine strong product vision with operational rigor and an AI-first mindset, leading the development of their next-generation AI-powered advertising platform and search engine.


Responsibilities

• Lead the development of a sophisticated, NLP-powered advertising platform.

• Architect and scale a high-performance, sports-centric search engine.

• Translate cutting-edge AI research into robust, revenue-driving products.

• Establish strong delivery processes, ensuring accountability and predictable execution.

• Drive cultural transformation within engineering while consistently delivering on timelines.

Skillset

• At least 10  years of experience within a leading technology platform environment.

• Prior experience as a VP Engineering or senior technology leader who has built and scaled a large-scale image or search engine.

• Proven experience building and scaling production-grade search, advertising or AI-driven systems.

• Deep expertise in large-scale retrieval systems, search infrastructure and AI applications at consumer scale.

• Experience translating applied AI research into fully deployed, revenue-generating products.

• Demonstrated track record spanning both consumer search and applied AI-driven product development.

Benefits

• Total Compensation up to $1m for exceptional candidates.

• This includes performance bonus and other benefits. 

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, an AI-driven healthcare organization, are hiring a Founding Product Engineer to join their team in New York. The successful candidate will become a key member of an early-stage team, taking ownership of high-impact initiatives and delivering end-to-end features relied upon daily by hundreds of thousands of clinicians and healthcare operators.


Responsibilities

• Design, build and deploy AI-powered features, including intelligent agents that audit medical records and flag issues that may jeopardize treatment approval.

• Take full ownership of projects from discovery and requirements through to deployment and iteration.

• Deliver high-quality solutions while leveraging a fast, reliable CI/CD pipeline to ship with confidence.

• Identify workflow bottlenecks by working closely with users.

• Measure impact through back-office time saved, improved case review accuracy and increased treatment approvals.

• Contribute to and shape engineering culture, influencing architecture decisions, tooling, code review standards and team practices.

Skillset

• At least 2 years of product engineering experience, preferably in an early-stage environment.

• Strong proficiency in TypeScript and React, with the ability to confidently work across complex codebases.

• Solid experience with SQL and relational databases, including writing efficient queries, designing well-structured schemas and applying sound data modelling principles.

• Experience with AI-native development, including shipping production LLM-powered features, prompt engineering, tool integration and retrieval-augmented generation (RAG).

• Demonstrated systems thinking, with a clear understanding of cloud tooling and architecture, and the ability to evaluate technical trade-offs effectively.

Benefits

• Salary: $150k - $180k.

• Equity.

• Health, dental and vision insurance.

• 401(k).