Senior AI​/ML Full Stack Engineer

Overview

Our client is seeking an Senior

AI/ML Developer. This position is for a Generative AI and Healthcare Applications. We are seeking a Senior AI/ML Engineer with strong hands‑on experience designing, building, evaluating, and deploying production‑grade AI/ML and Generative AI solutions. This role will focus on healthcare and enterprise AI applications, including retrieval‑augmented generation, LLM‑powered assistants, document intelligence, machine learning pipelines, and cloud‑native deployment.

• The candidate will be responsible for designing and developing scalable AI solutions that combine large language models, retrieval systems, structured and unstructured data, cloud services, and user‑facing applications.
• Responsibilities include building RAG pipelines, document ingestion workflows, semantic search, embeddings, prompt engineering, evaluation frameworks, guardrails, APIs, and production monitoring.
• The role will also require close collaboration with product owners, clinical or business stakeholders, and technical teams to gather requirements, communicate tradeoffs, and deliver reliable, measurable AI solutions.

• Bachelor’s degree in Computer Science or a related field with 7 years of experience.
  Or
• Master’s degree in Computer Science or a related field with 5years of experience.
• Demonstrated experience on a broad range of software technologies and development platforms.
• 5 years of experience in designing and building software solutions, including both front‑end and back‑end development.
• Excellent programming skills.
• Expertise in front‑end technologies, including JavaScript, CSS3 and HTML
  5.
• Expertise in server‑side programming languages including Java, Ruby, PHP and Python.
• Excellent communication and teamwork skills.
• Experience in leading software development processes.
• Ability to collaborate effectively with internal business stakeholders, outside partners and technology teams.

• Strong Python programming and SQL experience
• Hands‑on experience building Generative AI or RAG‑based applications
• Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citations
• Experience with ML/NLP model development, evaluation, and performance monitoring
• Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy
• Experience implementing AI safety guardrails, content moderation, blocked topics, or escalation logic
• Experience with cloud platforms such as GCP, AWS, or OCI
• Experience with tools such as Vertex AI, AWS Bedrock, Sage Maker, Big Query, Snowflake, Open Search, Cloud Run, Docker, Airflow, Terraform, or CI/CD pipelines
• Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred
• Strong communication skills and ability to work with both technical and non‑technical stakeholders
• Pro Desk API

• Fully Remote Role
• W2 Only