Z2_Full Stack AI Engineer

Req ID: 394372 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Z2_Full Stack AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

- 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)

Skills Needed

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 algorithms
- 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

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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