Posted 23 July, 2026
Senior Specialist Ai Developer
NR Consulting - India
Pune, Maharashtra, IN
Full Time
Reference: 26-21910-2220-1
Title: Senior Specialist Ai Developer
Location: Pune
Exp: 4-8 Years
Job Description:
Key Responsibilities
" Build and maintain the LangGraph orchestration engine: state graph definition, parallel fan-out, conditional routing, checkpointing, retry and fallback logic.
" Develop and deploy specialized AI agent nodes Gate Readiness Agent, Quality Check Agent, Search & RAG Agent, Notification Agent, Action Execution Agent within the multi-agent architecture.
" Implement and manage MCP (Model Context Protocol) server pods: SNPD Core MCP, SAP MCP, PLM MCP, Doc & Search MCP ensuring RBAC enforcement, cost masking, and audit logging at each layer.
" Integrate Azure OpenAI endpoints (GPT-4o for reasoning, GPT-4o-mini for intent classification, text-embedding-3-large for RAG) via Azure APIM.
" Build the RAG pipeline: chunking strategy, embedding generation, Azure AI Search vector index management, retrieval tuning, and citation-accurate response synthesis.
" Implement the Conversational Copilot API including streaming responses, session state management, RBAC-scoped tool visibility, and Human-in-the-loop confirm nodes for write operations.
" Maintain and version the Prompt Registry (system prompts, few-shot examples, output schemas per AI feature) with admin-configurable deployment no code release required.
" Implement the AI Audit Logger: every query, model version, tool calls, and response logged to audit_log for IATF 16949 compliance.
" Develop AI microservices APIs (REST / event-driven) that expose AI capabilities to the application layer; integrate with .NET Core backend services.
" Contribute to OWASP AI security practices: prompt injection defence, output validation, hallucination guardrails, and content safety filters.
" Write unit and integration tests for agent nodes, MCP tools, and RAG retrieval quality using Promptfoo / pytest frameworks.
" Participate in code reviews, architecture decision records, and sprint ceremonies as part of the AI squad.
Technical Skills required
Good To Have
" Experience with agentic AI frameworks: CrewAI, AutoGen, Semantic Kernel.
" Familiarity with SAP S/4 HANA OData APIs or Teamcenter PLM REST APIs.
" Knowledge of IATF 16949 quality management or automotive NPD processes.
" Experience with LLM evaluation frameworks: RAGAS, Promptfoo, TruLens.
" Hindi / Marathi language NLP supporting regional user queries.
Location: Pune
Exp: 4-8 Years
Job Description:
Key Responsibilities
" Build and maintain the LangGraph orchestration engine: state graph definition, parallel fan-out, conditional routing, checkpointing, retry and fallback logic.
" Develop and deploy specialized AI agent nodes Gate Readiness Agent, Quality Check Agent, Search & RAG Agent, Notification Agent, Action Execution Agent within the multi-agent architecture.
" Implement and manage MCP (Model Context Protocol) server pods: SNPD Core MCP, SAP MCP, PLM MCP, Doc & Search MCP ensuring RBAC enforcement, cost masking, and audit logging at each layer.
" Integrate Azure OpenAI endpoints (GPT-4o for reasoning, GPT-4o-mini for intent classification, text-embedding-3-large for RAG) via Azure APIM.
" Build the RAG pipeline: chunking strategy, embedding generation, Azure AI Search vector index management, retrieval tuning, and citation-accurate response synthesis.
" Implement the Conversational Copilot API including streaming responses, session state management, RBAC-scoped tool visibility, and Human-in-the-loop confirm nodes for write operations.
" Maintain and version the Prompt Registry (system prompts, few-shot examples, output schemas per AI feature) with admin-configurable deployment no code release required.
" Implement the AI Audit Logger: every query, model version, tool calls, and response logged to audit_log for IATF 16949 compliance.
" Develop AI microservices APIs (REST / event-driven) that expose AI capabilities to the application layer; integrate with .NET Core backend services.
" Contribute to OWASP AI security practices: prompt injection defence, output validation, hallucination guardrails, and content safety filters.
" Write unit and integration tests for agent nodes, MCP tools, and RAG retrieval quality using Promptfoo / pytest frameworks.
" Participate in code reviews, architecture decision records, and sprint ceremonies as part of the AI squad.
Technical Skills required
| " Python 3.10+ (primary language) | " FastAPI / REST API design |
| " LangGraph / LangChain state graph, tool use | " Docker / Azure AKS (Kubernetes) |
| " Azure OpenAI (GPT-4o, GPT-4o-mini, embeddings) | " Azure API Management (APIM) |
| " Azure AI Search (vector + keyword hybrid) | " Azure AI Foundry / Azure ML |
| " MCP (Model Context Protocol) server design | " Prompt engineering & few-shot design |
| " RAG architecture chunking, retrieval, reranking | " Git, CI/CD (Azure DevOps / GitHub Actions) |
Good To Have
" Experience with agentic AI frameworks: CrewAI, AutoGen, Semantic Kernel.
" Familiarity with SAP S/4 HANA OData APIs or Teamcenter PLM REST APIs.
" Knowledge of IATF 16949 quality management or automotive NPD processes.
" Experience with LLM evaluation frameworks: RAGAS, Promptfoo, TruLens.
" Hindi / Marathi language NLP supporting regional user queries.
