AI Engineer
Indexed description
Responsibilities
- Build and deploy LLM-powered agents for workflow automation, document processing, validation, and exception handling.
- Integrate agents with enterprise systems, APIs, databases, and MCP servers.
- Implement tool/function calling, guardrails, output validation, and human-in-the-loop workflows.
- Design observable systems with logging, audit trails, decision tracing, and cost monitoring.
- Develop reusable AI engineering frameworks for prompts, evaluations, context handling, and testing.
- Collaborate with business and engineering teams to deliver scalable AI solutions.
- 7+ years of software engineering experience with 2+ years building production AI/LLM applications.
- Strong hands-on experience with Python and Java.
- Experience with OpenAI, Claude, or similar LLM APIs.
- Knowledge of MCP servers, function calling, multi-step agent workflows, and API orchestration.
- Strong understanding of AI reliability, hallucination mitigation, rate limiting, and observability.
- Experience integrating REST APIs, SQL databases, and enterprise platforms.
- Strong coding, testing, and production engineering practices.
- RAG pipelines, vector databases, and document processing.
- LLM evaluation frameworks and workflow orchestration tools like Temporal.
- Experience in finance, operations, or compliance-focused environments.
Python, Java, Claude/OpenAI APIs, MCP Servers, REST APIs, AKS, PostgreSQL, SQL Server, GitHub Actions, Observability Tools.
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