AI/ML Engineer

AI/ML Engineer

Duration: 6 10 Months



Location: Remote (San Francisco, CA; Arlington, VA; Denver, CO; Chicago, IL; Boston, MA; New York, NY; Houston, TX; Miami, FL; Los Angeles, CA; Seattle, WA; Dallas, TX; Minneapolis, MN; Birmingham, MI; Atlanta, GA; or Irvine, CA)



Duration: 6 10 months



Interview: In-person

Internal Note:

• Must be local with DL copy
• Role is primarily remote, but candidates may be required to report to a local client office for ID verification during the project.
• LinkedIn with location and photo (before 2023)

Job Description

We are seeking an experienced AI/ML Engineer to design, develop, and deploy production-grade machine learning and AI solutions, with a strong focus on Generative AI, Large Language Models (LLMs), RAG, and Agentic AI . The ideal candidate will have strong machine learning and software engineering fundamentals, hands-on experience building LLM-powered applications, and the ability to develop reliable AI solutions in collaboration with product, clinical, and business teams.

Required Qualifications

• 5+ years of experience building and deploying ML/AI systems, including recent hands-on experience with LLMs or agentic applications.
• Strong expertise in Machine Learning, Deep Learning, NLP, Generative AI, and Transformer architectures .
• Experience with PyTorch and/or TensorFlow .
• Hands-on experience with OpenAI/Azure OpenAI, Anthropic Claude , or comparable LLM platforms.
• Experience with prompt engineering, structured outputs, function/tool calling, and agentic frameworks such as LangChain, LangGraph, LlamaIndex , or equivalent.
• Strong experience with RAG, vector databases, embeddings, retrieval, re-ranking, grounding, and citation techniques .
• Familiarity with MCP (Model Context Protocol) or similar integration standards.
• Expert-level Python skills and strong software engineering practices, including testing, Git/GitHub, code reviews, Docker, and CI/CD.
• Strong SQL skills and experience with SQL Server, PostgreSQL , or similar relational databases.
• Experience building data/ML pipelines and workflow orchestration using Airflow or equivalent .
• Experience working with unstructured and semi-structured data at scale.
• Experience with AI/ML evaluation, observability, experiment tracking, and reproducibility. Familiarity with Arize, Langfuse , or comparable tools is a plus.
• Experience with Azure AI Services, Azure OpenAI, AWS SageMaker, or Google Vertex AI ; Azure is preferred.
• Experience with Databricks, Snowflake, Spark, Kafka, Kubernetes, Terraform , and cloud-native architectures is highly desirable.
• Strong understanding of Responsible AI, AI Governance, Model Risk Management, and AI Security .

Preferred Qualifications

• Experience working in healthcare, insurance, or other regulated/high-stakes environments .
• Experience working with clinical or operational subject matter experts.
• Experience designing AI-assisted interfaces focused on trust, explainability, and evidence-based review.
• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning , or a related field, or equivalent practical experience.
• Strong communication skills with the ability to explain technical concepts and trade-offs to both technical and non-technical stakeholders.