Posted 23 July, 2026
Specialist Ai Developer
NR Consulting - India
Pune, Maharashtra, IN
Full Time
Reference: 26-21911-2220-1
Title: 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.
