Senior AI/ML Full Stack Engineer

Role Description

Our client is seeking a Senior AI/ML Developer 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 LLM-powered assistants, document intelligence, machine learning pipelines, full-stack application development, and cloud-native deployment.

• Design and develop scalable AI solutions that combine large language models, retrieval systems, structured and unstructured data, cloud services, and user-facing applications.
• Build RAG pipelines, document ingestion workflows, semantic search, embeddings, prompt engineering, evaluation frameworks, guardrails, APIs, and production monitoring.
• Full-stack development, including building responsive user interfaces, backend services, RESTful APIs, data integrations, authentication and authorization, and integrations with AI/ML models and cloud-based services.
• Design, build, and maintain CI/CD pipelines using Azure DevOps to automate application build, testing, validation, security checks, and deployment across development, testing, staging, and production environments.
• Follow strong software engineering and MLOps practices across the development lifecycle, including modular architecture, reusable components, version control, automated testing, code reviews, logging, observability, error handling, performance optimization, security, maintainability, and production support.
• Collaborate closely with product owners, clinical or business stakeholders, architects, DevOps engineers, security teams, and other technical teams to gather and translate requirements, communicate technical decisions and tradeoffs, and deliver reliable, secure, measurable, and maintainable AI solutions.

Qualifications

• 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 5 years of experience.

Requirements

• Strong Python programming and SQL experience.
• Hands-on experience building production-grade Generative AI and LLM-powered applications.
• Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citation generation.
• Experience with ML/NLP model development, evaluation, deployment, 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, escalation logic, and responsible AI controls.
• Experience with full-stack application development, including modern front-end frameworks, backend services, REST APIs, authentication, and application integration.
• Experience designing and developing CI/CD pipelines using Azure DevOps.
• Experience with Git-based source control, automated testing, build pipelines, deployment pipelines, release management, and environment configuration.
• Experience with cloud platforms such as Azure, GCP, AWS, or OCI.
• Experience with tools and technologies such as Azure DevOps, Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or comparable cloud and MLOps technologies.
• Experience with containerized application development and deployment using Docker.
• Experience designing and consuming APIs and integrating AI/ML services into enterprise applications.
• Experience with production monitoring, logging, observability, model/application performance tracking, and troubleshooting.
• Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred.
• Strong understanding of secure software development, data privacy, and enterprise application development practices.
• Strong communication skills and ability to collaborate effectively with both technical and non-technical stakeholders.

Benefits

• Fully Remote Role.
• W2 Only.