Sr AI Engineer
Core
Design, develop, and deploy AI automation solutions using LLMs and generative AI to improve health and environmental outcomes.
Role type
Senior AI Engineer (LLM & Automation)
Builds
AI agents, automation pipelines, MCP servers, and enterprise integrations
Domain
Life Sciences / Healthcare / Environmental Safety
Deliverable
production ML models | product features | client delivery
Required skills
LLMs (OpenAI, Claude, Gemini, Llama, Mistral), Prompt Engineering, MCP Server Development, Python, SQL, AWS Cloud, Business Process Knowledge
Preferred skills
RAG pipelines, AI Frameworks (LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen), REST APIs (FastAPI, Flask), AWS Services (Bedrock, Lambda, S3, etc.), Data Engineering (ETL/ELT), CI/CD, LLM Evaluation
Technologies
Python, SQL, AWS (Neptune, Bedrock, Lambda, S3, API Gateway, CloudWatch, IAM, Step Functions, ECS, EKS, SageMaker, Glue, Athena, OpenSearch), MCP, FastAPI, Flask, Docker, Git, Airflow, Power Automate, n8n, Zapier
Responsibilities
Design and deploy AI automation solutions using LLMs and generative AI; Build and integrate Model Context Protocol (MCP) servers; Develop prompt engineering strategies; Create AI agents and orchestration flows; Build integrations with enterprise systems and databases; Design and query knowledge graphs; Develop backend logic and data pipelines; Apply machine learning concepts for classification, regression, and clustering; Ensure AI solutions are secure, scalable, and explainable.
Seniority
Senior, hands-on IC with team leadership