Job Overview:
Requirement/Must Have:
- 3–8 years of experience in software development or data engineering.
- Hands-on experience in Generative AI or LLM-based applications.
- Experience building APIs, microservices, or distributed systems.
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.
Responsibilities:
- Implement agents and sub-agents (planner, executor, critic, router) using Claude Agent SDK / Lang Graph.
- Build tools and MCP integrations, design clean tool schemas, idempotent operations, and robust error handling.
- Implement RAG pipelines: ingestion, chunking, embedding (Bedrock Titan), hybrid retrieval, citation rendering.
- Develop Fast API/Python services exposing agent capabilities (sync + streaming); integrate with SQL (Postgres) and object stores (S3).
- Write evaluation harnesses (golden sets, regression suites, LLM-as-judge) and trace/observe agent runs.
- Implement guardrails: input/output validation, schema enforcement, rate limiting, prompt-injection defenses.
- Participate in code reviews, pairing, and architecture discussions; own quality of the code you ship.
Nice to Have:
- Strong Python (FastAPI, async, Pydantic) or Node/TypeScript equivalent.
- Hands-on with at least one agent framework (Claude Agent SDK / Lang Graph / AutoGen).
- Practical experience with LLM tool/function calling, structured outputs, streaming.
- RAG implementation experience (pgvector / FAISS / OpenSearch).
- Git, CI/CD, containerization (Docker), and cloud basics (AWS preferred).
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.