AI/ML Engineer Jobs

Our client, a venture-backed AI SaaS startup, are hiring a Senior AI/ML Engineer to join their product team in New York. The successful candidate will have the opportunity to tackle greenfield challenges and build core systems from the ground up.


Responsibilities

• Take ownership of the AI stack,  including selecting models, vector stores and cloud infrastructure to build a secure, high-performance pipeline.

• Manage the full AI workflow, including data ingestion, cleaning, training, evaluation, deployment, monitoring and fine-tuning.

• Operationalize AI by implementing CI/CD for models and data, ensuring reproducible experiments, monitoring for drift and maintaining usage dashboards.

• Optimize systems for enterprise requirements, balancing latency, cost, data privacy and compliance-friendly logging.

• Collaborate closely with product and engineering leadership to prioritize and execute high-impact initiatives.

• Make pragmatic technical decisions in ambiguous environments, balancing technical elegance with business needs.

• Help shape the engineering culture, tooling and processes in a fast-growing, early-stage startup.

Skillset

• Over 7 years of professional experience, including 5 years developing clean, production-ready code for distributed, cloud-native systems.

• At least 2 years of hands-on experience deploying LLM pipelines in production, with strong knowledge of tokenization, context windows, sampling strategies and common failure modes.

• Proven track record in shipping generative AI or NLP products that meet real-world constraints such as latency, cost and data privacy.

• Deep expertise in LLM tuning and retrieval, including prompting, RAG, embeddings, fine-tuning and hallucination mitigation.

• Strong expertise of broader ML/data science experience, transforming raw data into robust models.

• Experience in ML Ops, including CI/CD for models, experiment tracking, and production monitoring.

• Strong product instincts, able to prototype quickly, iterate and collaborate closely with domain experts.

• Demonstrated technical leadership through setting engineering standards, writing clear documentation and mentoring team members.

• Proficiency with ML/LLM tools and libraries, with the ability to explain complex code and system behavior clearly.

Benefits

• Salary: $160k - $220k DOE.

• Equity.

Our client, a venture-backed Fintech startup, is hiring a Principal Software Engineer (Backend) to join the team remotely. The successful candidate will drive the design and scalability of their backend systems, seamlessly integrating AI solutions and connecting traditional backend services with AI inference pipelines to ensure robust, high-performance operation at production scale.


Responsibilities

• Drive the design and implementation of Django-based backend systems that power the company’s core platform.

• Architect scalable, reliable APIs that integrate smoothly with both frontend applications and AI services.

• Develop and maintain AI inference endpoints to serve models at production scale.

• Partner with AI engineers to collect, process and analyze data from application workflows.

• Enhance and optimize AI pipeline evaluation and monitoring systems.

• Take ownership of system architecture and design decisions for high-traffic production environments.

• Support frontend development as needed to ensure a consistent, full-stack experience.

Skillset

• Minimum of seven years of full-stack web development, including at least 4 years focused on AI/ML engineering or managing large-scale data pipelines.

• Expert backend engineering skills with Django, Python, REST APIs and relational databases (AWS RDS/Postgres).

• Hands-on experience integrating AI/ML services via APIs (e.g. OpenAI, Anthropic, LlamaIndex).

• Proven track record of serving AI models in production, building inference pipelines and optimizing performance.

• Strong understanding of AI agent design, retrieval strategies and evaluation methodologies.

• Competent in frontend development using Next.js and React.

• Solid infrastructure expertise: AWS, Terraform, system monitoring, scaling, and resiliency.

• Experience designing fault-tolerant systems supporting thousands of concurrent users.

• Excellent communication skills with the ability to collaborate across teams effectively.

Benefits

• Competitive salary.

• Equity.

• Remote-friendly work environment.

• Comprehensive health benefits.

Our client, a venture-backed AI startup, is hiring a Principal Front-End / Full Stack Engineer to join the team remotely. The successful candidate will lead the architecture and development of the user-facing platform, serve as the technical authority on front-end and middleware solutions, and guide the engineering team while shaping the overall product experience.


Responsibilities

• Lead the architecture, design and implementation of their front-end platform, ensuring scalability, reliability and exceptional user experiences.
• Develop high-quality, maintainable full-stack code, integrating modern front-end technologies with AI/ML capabilities.
• Provide technical leadership and mentorship to the engineering team, promoting a culture of growth and best practices.
• Partner with product, design, and business teams to transform user requirements into intuitive, impactful technical solutions.
• Continuously enhance engineering processes, code quality, and front-end performance.

Skillset

• At least 8 years of full-stack web development, including 5 years building complex front-end systems.
• Proven track record architecting advanced front-end and middleware solutions.
• Expertise in React, Next.js, modern CSS-in-JS and responsive design principles.
• Experience integrating with back-end services and AI/ML APIs (e.g. OpenAI, Anthropic, LlamaIndex).
• Comfortable translating Figma designs into functional interfaces and working with tools like Cursor or Windsurf.
• Deep understanding of LLM APIs, prompt engineering, and AI workflow design.
• Strong communication skills, able to explain complex technical concepts clearly.
• Experience mentoring engineers, with a focus on front-end best practices.
• Experience deploying AI/ML applications to cloud platforms is a plus.

Benefits

• Competitive salary and equity.
• Fully remote working.
• Comprehensive healthcare coverage.

Our client, a fast-growing healthcare organization, are hiring a Machine Learning Engineer to join the team in New York or San Francisco. The successful candidate will play a key role in shaping the future of conversational AI by driving meaningful improvements in patient outcomes and transforming the way healthcare systems engage and communicate.


Responsibilities

• Develop and implement machine learning models tailored for SMS and voice-enabled conversational AI.

• Create scalable pipelines to support data ingestion, model training and real-time deployment.

• Fine-tune large language models using healthcare-focused datasets to enhance accuracy and relevance.

• Collaborate with full-stack engineering teams to seamlessly integrate AI capabilities into core product experiences.

• Lead the full lifecycle of model deployment, including monitoring, troubleshooting and iterative optimization.

• Continuously explore emerging AI/ML technologies and healthcare innovations to keep their solutions cutting-edge.

 

Skillset

• At least 4 years of experience in AI/ML engineering, with a strong focus on NLP, large language models and conversational AI.

• Proven track record of deploying ML models into production, preferably within healthcare or other regulated industries.

• Proficient in Python and experienced with ML frameworks such as TensorFlow and PyTorch.

• Strong skills in fine-tuning LLMs, prompt engineering and integrating models into real-world applications.

• Comfortable working with cloud platforms (e.g. AWS, Azure, GCP) and knowledgeable in MLOps practices for scalable deployments.

• Experience with voice and speech-based technologies, including recognition and generation.

• Hands-on background in designing and implementing conversational AI solutions.

• Exceptional analytical and communication abilities.

• Familiarity with HIPAA compliance and handling of sensitive healthcare data is a bonus.

Benefits

• Competitive Salary.

• Equity.

• Remote working.

• Comprehensive healthcare package.

Our client, an exciting Healthtech organization, are hiring a Full Stack Engineer to join the team in New York. The successful candidate will work closely with the CTO and partner with product, operations and clinical teams to design the backend systems and ML infrastructure that enable real-time patient engagement, helping to lay the foundation of the platform in a fast-paced,  high-growth startup environment.


Responsibilities

• Develop and maintain scalable backend services and APIs powering the company’s AI-driven platform.

• Design and deploy infrastructure to support LLM-based applications in production environments.

• Partner with AI/ML engineers to embed conversational AI and predictive models into the platform.

• Lead the architecture of extensible backend systems that evolve with product growth and increasing data demands.

• Establish and manage CI/CD pipelines, automated testing and deployment workflows.

• Create reusable libraries, components, and frameworks to streamline development.

• Champion engineering best practices to ensure secure, scalable, and maintainable code.

• Utilize cloud platforms (GCP, Azure, AWS) to build cost-effective, high-performance infrastructure.

Skillset

• At least 5 years of full stack development experience, including two years in a senior engineering role.

• Strong proficiency in Node.js, Python, RDBMS, ReactJS and Express.

• Expertise in system architecture with a track record of designing scalable backend solutions.

• Practical experience integrating LLMs into production systems or strong motivation to gain this expertise.

• Rigorous engineering discipline with emphasis on Clean Code, TDD and CI/CD.

• Familiarity with DevOps practices, containerization (Docker), and orchestration (Kubernetes).

• Experience with AI model deployment, monitoring, and A/B testing.

• Excellent communication and collaboration skills across cross-functional teams.

• Demonstrated leadership through projects where you drove engineering efforts.

• Background in healthcare technology or other regulated industries is a bonus.

Benefits

• Salary: $160,000 - $175,000.

• Comprehensive Benefits Package.

Our client, an exciting Series B Startup innovating the Fintech industry, is hiring a Principal Engineer to join their New York team remotely. The successful candidate will play a key role in expanding their cutting-edge FinTech and data platform, driving advancements in financial health, identity services and inclusive decision-making for both individuals and businesses.


Responsibilities

• Drive the design and development of advanced back-end services, data platforms and AI/ML models that serve millions of users.

• Work collaboratively with cross-functional teams, including engineering managers, product owners and designers.

• Offer technical leadership, mentorship and support the professional growth of engineering team members.

• Lead project planning and execution while fostering team expansion through recruiting and onboarding efforts.

• Champion and uphold the company’s culture and commitment to operational excellence.

Skillset

• Master’s degree in Computer Science or similar, with a minimum of 10 years of engineering experience.

• Proven expertise in back-end development, microservices, API-driven and event-driven architectures and data platform engineering.

• Strong proficiency with AWS services such as DynamoDB, ECS/EKS, RDS, S3, SNS/SQS and Lambda.

• In-depth knowledge of credit reporting, lending, banking, payments, identity or other financial services domains.

• Advanced programming skills in Go, Python, C++ or Java.

• Hands-on experience with relational and NoSQL databases, microservices and event-driven system designs.

• Competence in building and deploying machine learning models, with a solid understanding of ML concepts.

• Familiarity with ETL/ELT tools like Airflow, Dagster, Prefect, and cloud data warehousing with Snowflake.

• Demonstrated leadership in product and business strategy, including roadmap planning and successful delivery.

• Excellent communication skills, able to effectively connect technical and non-technical stakeholders.

Benefits

• Salary: $200,000 - $220,000.

• Equity.

• Comprehensive medical, dental and vision insurance.

• 401(k) with a 4% company match.

• Remote Working (US Only).

Our client, an exciting Series B FinTech Startup, is hiring a Staff Machine Learning Engineer to join the team remotely. The successful candidate will design and deploy advanced machine learning models to help build interpretable, high-performing and scalable solutions leveraging data from AWS and Snowflake environments to drive impactful, data-informed decisions.


Responsibilities

• Designing, developing and deploying machine learning models to support predictive analytics across key fintech applications.

• Collaborating closely with cross-functional teams, including Data, Engineering and Product, to deliver integrated, data-driven solutions.

• Ensuring high model performance and reliability through robust data pipelines and scalable infrastructure.

• Converting model outputs into actionable insights that drive business strategy and financial inclusion outcomes.

• Mentoring and supporting fellow team members to promote a culture of technical excellence and collaboration.

• Championing best practices in MLOps, data governance and regulatory compliance across the ML lifecycle.

Skillset

• PhD or Master’s degree in Computer Science, Mathematics, Statistics or similar.

• 10+ years of relevant experience in applying AI/ML techniques within the financial services or fintech sectors.

• Extensive experience developing and deploying machine learning models for tasks such as classification, regression and forecasting.

• Strong programming proficiency in Python and SQL.

• Hands-on experience with AWS, particularly SageMaker and Bedrock, for model training, deployment and fine-tuning.

• Familiarity with model lifecycle tools like MLflow, SageMaker Model Registry or similar platforms.

• Practical experience using PyTorch, Scikit-learn and Generative AI models.

• Knowledge of Large Language Models (LLMs) and frameworks such as Hugging Face, LangChain or Mirascope.

• Solid understanding of cloud-based data architecture, including Snowflake, Amazon S3 and PostgreSQL.

• Background working in FinTech, PropTech or startup environments is a bonus.

Benefits

• Salary: $200,000 - $235,000.

• Equity.

• Remote working.

• Comprehensive health, dental, and vision insurance.

• 401(k).

• Design and fine-tune both open source and proprietary large language models (LLMs) for tasks including summarization, reasoning, planning and question answering.
• Build and enhance advanced Retrieval Augmented Generation (RAG) pipelines featuring embedding fine-tuning, hybrid search, reranking and knowledge graph integration.
• Develop autonomous AI agent workflows that support proactive and adaptive decision-making.
• Utilize reinforcement learning methods (such as PPO, DPO, GRPO) to continuously improve model performance.
• Create evaluation frameworks and define metrics to rigorously assess model effectiveness.
• Deploy AI models into production environments with a focus on low latency, reliability and scalability.
• Work closely with product and engineering teams to deliver comprehensive AI-powered financial solutions.

• Master’s or Bachelor’s degree with at least 5 years of professional experience in applied AI/ML engineering.
• Demonstrated success in delivering generative AI products utilizing LLMs and autonomous agent workflows.
• Practical expertise with LLM fine-tuning methods (such as LoRA), inference frameworks (including vLLM) and sophisticated RAG pipelines.
• In-depth understanding of reinforcement learning fine-tuning techniques and associated frameworks.
• Early-stage startup experience is an advantage.

• Salary: $190k - $225k DOE.
• Remote working.
• Comprehensive health, dental and vision coverage.
• Retirement benefits.

• Lead research efforts in LLMs and VLMs, covering model development, evaluation, optimization and benchmarking.
• Shape the strategic direction of open-source AI/ML innovation within the organization’s  platform.
• Publish impactful research in leading academic venues.
• Build and nurture academic partnerships to strengthen the company’s global open research community.
• Mentor and guide team members, encouraging a culture rooted in scientific excellence and open collaboration.

• PhD degree in Computer Science or a related field, with a specialization in AI/ML.
• Proven track record of publications in leading AI/ML conferences and journals.
• Demonstrated leadership in driving research initiatives and managing complex technical projects.
• Expert-level proficiency in machine learning, with hands-on experience in PyTorch, LLMs and VLMs.
• Strong commitment to open source and a passion for building in the open through community collaboration.

• Salary: $160K–$220K DOE.
• Equity.
• Comprehensive health, dental and vision insurance.
• Hybrid working with offices in Seattle, WA and Palo Alto, CA.