Senior AI Engineer
First seen by Alion on Sep 16, 2026.
About the Role :
We are looking for a Senior AI Engineer to design and build production-grade LLM and agentic AI systems. The role will focus on AI orchestration, evaluation, reliable structured outputs, production deployment, retrieval systems, and observability of AI/agent behavior.
Key Responsibilities :
- Design, develop, and deploy production-grade LLM and agentic AI applications.
- Build and maintain agent orchestration workflows using frameworks such as LangGraph.
- Develop reliable AI workflows with structured outputs and schema validation.
- Design and implement evaluation (Evals) frameworks to assess model and agent performance.
- Work on improving reliable and predictable model behavior in production environments.
- Develop AI services using Python, with exposure to Golang and TypeScript.
- Work with self-hosted inference technologies and optimize model serving.
- Build and integrate retrieval systems for AI applications.
- Implement observability and monitoring for LLM and agent behavior.
- Contribute to scalable AI architecture and production deployment practices.
Mandatory Skills :
- Strong experience building LLM systems
- Production deployment of AI/ML applications
- Agent orchestration
- LangGraph
- Python
- Golang
- TypeScript
- Evals / AI evaluation
- Structured output
- Schema validation
- Understanding of reliable model behavior
Good-to-Have Skills :
- Temporal, Cadence, AWS Step Functions, vLLM, TGI, Model quantization, GPU scheduling, Retrieval systems, OCR, Layout parsing, PDF extraction, Audit trails, Compliance reporting
Candidate Profile :
- 3 - 9 years of relevant professional experience.
- Strong hands-on experience developing and deploying LLM/Generative AI applications.
- Experience taking AI/agentic systems from development into production environments.
- Strong programming skills in Python; experience with Golang and TypeScript is required.
- Practical experience with agent frameworks/orchestration, particularly LangGraph.
- Understanding of evaluation, structured outputs, validation, and reliability in AI systems.
- Ability to work on complex AI engineering problems involving inference, retrieval, and observability.
Skills
Artificial Intelligence, LLM, Agentic AI, LangGraph, Python, Golang, TypeScript