Senior Software Engineer - AI & Knowledge System - Noida

Role - Senior Software Engineer -AI Engineer & Knowledge Systems (GenAI / Agentic AI)

Location: India - Noida

Type: Full-time

R&D Technology

About NeoXam

NeoXam is a leading B2B fintech software vendor serving buy-side investment managers and asset servicers globally. Our platform covers data management, reconciliation, fund accounting, reporting, and portfolio management. As we scale, we are investing in making our knowledge, both technical and functional, structured, queryable, and continuously up to date.

We are looking for a GenAI Engineer to own a strategic, greenfield initiative at the intersection of AI, software engineering, and knowledge management.

The problem space is clear: make NeoXam's technical and functional knowledge accessible, reliable, and actionable across engineering, support, and product teams. The exact shape of the solution is yours to define. You will explore, prototype, and progressively converge toward a production-grade system grounded in real use cases.

This is a hands-on individual contributor role with end-to-end ownership, from architecture to deployment. As the initiative matures, you will have the opportunity to grow a team around you.

What You Will Work On

Design and deploy a RAG-based knowledge service, including ingestion pipelines consolidating information from codebases, documentation, and structured data

Build agentic tooling enabling LLM agents to navigate and reason over large, heterogeneous technical corpora

Develop pipelines that synthesize knowledge artifacts at multiple levels of abstraction from low-level technical references to functional and business-oriented content

Define and maintain a domain ontology capturing NeoXam's product concepts and their relationships

Continuously improve retrieval quality, agent reasoning, and output reliability based on real usage

Why This Problem Is Hard

Highly heterogeneous inputs: code, documentation, financial data, configurations

Strong correctness expectations with multi-level reasoning technical, functional, business

Constantly evolving knowledge across projects and clients

Outputs must be explainable and trustworthy not black-box answers

What We Are Looking For

5-8 years of software engineering experience

Must Have 5+ years Python development experience, in backend or systems engineering roles, including modern API frameworks such as FastAPI

Hands-on experience building and shipping AI, ML, or data pipelines in production

Experience designing agent evaluation frameworks - creating eval datasets, test scenarios, metrics, automated regression tests, and quality gates - and evaluating agents beyond final-answer accuracy, including planning, tool use, reasoning trajectory, reliability, safety, latency, and cost (Langfuse, LangSmith, Ragas, or custom eval harnesses)

Hands-on experience with RAG architectures and LLM frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent)

Working knowledge of vector databases (Pinecone, Weaviate, pgvector, or equivalent) and embeddings/semantic search;

GraphRAG experience is a plus

Hands-on experience with at least one cloud-native AI platform (AWS Bedrock, Azure AI Foundry, or GCP Vertex AI)

Comfortable working end-to-end autonomously, from architecture to deployment

Fluency with Claude Code, Cursor, or an equivalent agentic development environment

A builder, energized by greenfield problems

Pragmatic, you pick the right tool, not the flashiest one

Autonomous, you drive toward outcomes without waiting to be told what to do next

Curious, you find the intersection of LLMs and software systems genuinely interesting

Why Join

Full ownership of a strategic, company-wide initiative, you design the architecture, you make the calls

Direct visibility at the highest level of product and engineering

Path to building and leading a team as the scope grow