Senior AI Engineer
First seen by Alion on Sep 23, 2026.
Role : Senior AI Engineer
This role is for a Senior AI Engineer specializing in Agentic AI, AWS, and Databricks, responsible for designing, deploying, and operating production-grade AI agents.
Core Responsibilities :
- Build stateful, multi-agent workflows using LangGraph/LangChain, including persistence, cycles, and complex state management.
- Deploy AI agents on AWS AgentCore, using Runtime, Memory, Identity, and Gateway capabilities.
- Integrate Databricks/Delta Lake with AWS AI services for fast, governed data access.
- Develop MCP-based tools and expose internal APIs/Databricks functions to agents.
- Manage production AI systems including CI/CD, scaling, versioning, containerization, and Human-in-the-Loop (HITL) workflows.
- Implement agent observability and evaluation, including monitoring reasoning, correctness, and tool selection.
Must-Have Skills :
- Python : Expert level; async programming, Pydantic, API development.
- LangGraph/LangChain : Strong hands-on experience, especially stateful graphs and checkpointers.
- AWS : Bedrock, AgentCore, IAM, Lambda, ECR.
- Databricks : Spark SQL, PySpark, Delta Lake, Unity Catalog.
- Agentic AI : Multi-agent orchestration, tool calling, MCP, memory, persistence, and production deployment.
Nice-to-Have :
- Cedar / AWS Policy for agent authorization and boundaries.
- Vector databases : Pinecone, Weaviate, OpenSearch.
- Experience building autonomous Code Interpreter or Browser tools.
In one sentence :
Need a senior Python/AI engineer who can build stateful LangGraph agents, connect them securely to Databricks data, deploy them on AWS AgentCore, and operate/evaluate them reliably in production.
Skills
Artificial Intelligence, Machine Learning, LangChain, LangGraph, Python, AWS, Databricks, Agentic AI, VectorDB