Experience:

• 5-8 years of software engineering experience
• Hands-on experience building and shipping AI, ML, or data pipelines in production

Responsibilities:

• Design and deploy a RAG-based knowledge service
• Build agentic tooling for LLM agents to navigate and reason over technical corpora
• Develop pipelines synthesizing knowledge artifacts from technical to business content
• Define and maintain a domain ontology of product concepts and relationships
• Continuously improve retrieval quality, agent reasoning, and output reliability
• Own end-to-end architecture to deployment of the knowledge system
• Direct reporting to CPO/CTO level

Additional responsibilities:

• Explore, prototype, and converge toward a production-grade system
• Make NeoXam's technical and functional knowledge accessible, reliable, and actionable
• Work autonomously with full ownership of the initiative
• Opportunity to grow and lead a team as the initiative matures

Nice to have:

• Familiarity with RAG architectures and LLM frameworks
• Experience with agentic frameworks and tool use patterns
• Experience with code analysis tools (AST, tree-sitter, LSP)
• Experience with vector databases
• Background in enterprise or B2B software environments

More skills:

RAG-based knowledge systems, AI, ML, Data pipelines, Agentic development environments, Code analysis tools, LSP

Other:

• Full ownership of a strategic, company-wide initiative
• Direct visibility at the highest level of product and engineering
• Path to building and leading a team as the scope grows
• Work in R&D Technology
• Hybrid work mode in Noida