onsite
Senior AI Agent Engineer - 42dot
Software Engineer
Lead the design, deployment, and operation of RAG‑based conversational knowledge agents, driving end‑to‑end flow from query understanding to response generation using Python, NLP, and advanced retrieval techniques.
About the role
Key Responsibilities
- Design and implement end‑to‑end RAG‑based agent flows, including query understanding, planning, tool routing, retrieval, and response generation.
- Develop and maintain Python services that orchestrate knowledge agents and integrate with external tools and APIs.
- Optimize retrieval pipelines and knowledge base indexing to ensure low latency and high accuracy.
- Implement quality control mechanisms, monitoring, and continuous improvement loops for agent performance.
- Collaborate with cross‑functional teams to define feature requirements and translate them into technical specifications.
Requirements
- 5+ years of experience in AI/ML engineering with a focus on conversational agents or RAG systems.
- Strong proficiency in Python and experience with NLP libraries (e.g., Hugging Face, spaCy).
- Hands‑on experience building retrieval‑augmented generation pipelines and orchestrating multi‑tool workflows.
- Deep understanding of knowledge representation, semantic search, and large‑language‑model integration.
- Excellent problem‑solving skills and a proactive, collaborative mindset.