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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Work arrangement
Hybrid