AI Native Software Engineer

Project Role : AI Native Software Engineer
Project Role Description : Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
Must have skills : Digital Full Stack Development
Good to have skills : Python (Programming Language), TypeScript, Software Development
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI Native Software Engineer, your day revolves around creating and delivering software solutions where artificial intelligence is deeply integrated into every stage of development. You will engage in designing, building, and deploying applications that leverage AI capabilities, ensuring that these solutions meet high standards of quality and compliance. Your role involves continuous refinement of software processes to enhance efficiency and reliability, collaborating with various teams to innovate and improve the overall software lifecycle. This position offers an opportunity to work at the forefront of technology, blending software engineering with AI-driven methodologies to produce impactful products.
Roles & Responsibilities:
Design and implement multi-agent orchestration pipelines using LangGraph state machines with conditional routing, self-healing loops, and sub-agent
hierarchies
Build and maintain a hybrid retrieval system combining Neo4j knowledge graphs (Cypher) with Qdrant vector search and sentence-transformer
embeddings
Develop FastAPI backend services with async I/O (asyncpg, Motor), Pydantic v2 models, and JWT/RBAC security
Build React 18 / TypeScript frontend features including visual graph editors (ReactFlow), real-time SSE streaming, and observability dashboards (Recharts)
Integrate enterprise protocols: A2A (JSON-RPC), MCP (Model Context Protocol), AG-UI (Server-Sent Events)
Connect to ALM/PLM tools via REST and GraphQL APIs with OAuth2/SSO authentication (SAML, OIDC)
Implement dual-tier agent memory (Redis L1 + mem0 L2) with semantic recall and context consolidation - Build DAG-based workflow compilation with topological sorting, cycle detection, and Ray-based parallel execution - Deploy and operate containerized services using Docker, Azure Bicep IaC, and CI/CD pipelines (Azure Pipelines / Jenkins) - Serve and manage on-prem LLM models via vLLM alongside cloud-hosted models (OpenAI-compatible APIs)
Professional & Technical Skills:
Backend & AI
Python 3.10+ — production-grade FastAPI, Pydantic v2, async/await patterns
LangGraph / LangChain — state machines, tool calling, agent orchestration
LLM engineering — prompt design, token budgeting, multi-model routing, self-healing retry loops
PostgreSQL (JSONB, asyncpg) or MongoDB (Motor) — async data persistence
Knowledge & Retrieval
Neo4j — Cypher queries, entity-relationship graph modeling, traversal algorithm
Vector databases (Qdrant, Pinecone, or Weaviate) — embedding pipelines, semantic search, hybrid retrieval
RAG architecture — chunking strategies, re-ranking, token budget management
Sentence-transformers or equivalent embedding models
Frontend
React 18 + TypeScript + Vite — component architecture, hooks, lazy loading
Server-Sent Events (SSE) or WebSocket — real-time streaming UIs
ReactFlow / XYFlow — interactive node-based graph editors
State management (Zustand or Redux) + server-state (TanStack Query)
Additional Skills
vLLM or TGI — on-prem LLM model serving and optimization
mem0 or similar — persistent agent memory systems
A2A / MCP / AG-UI — emerging agentic interoperability protocols
GraphQL — schema design, client integration
OAuth2 / SAML / OIDC — enterprise SSO integration
Ontology modeling — entity taxonomies, relationship schemas for engineering domains
Pytest — async test patterns, fixture-based testing
Qualifications
4+ years professional software engineering experience
2+ years working with LLMs, agent frameworks, or ML systems in production
Strong async Python and modern React/TypeScript skills
Experience with graph databases or knowledge graph systems
Comfortable owning features across the full stack — API to UI to deployment
Additional Information:
The candidate should have minimum 3 years of experience in Digital Full Stack Development.
This position is based at our Bengaluru office.
A 15 years full time education is required.

Work arrangement
Hybrid