Senior AI engineer - (Python + C#/.NET)

Spectral Consultants
Pune District, Maharashtra, India

Spectral Consultants is #Hiring for Senior AI Engineer –(Python+ C#/.Net) | Pune

Experience: 4–8+ Years

Location- Pune

Notice Period - 60 Days

Key Responsibilities

  • Architect and develop enterprise-grade Generative AI solutions using LLMs and agentic AI frameworks.
  • Build AI agents, multi-agent workflows, tool integrations, and retrieval-augmented generation (RAG) pipelines.
  • Design and implement solutions using Microsoft Agent Framework and Microsoft 365 Agent SDK.
  • Develop backend services and APIs using C#/.NET and Python.
  • Build context engineering pipelines involving chunking, embeddings, vector search, and knowledge retrieval using Azure AI Search.
  • Integrate Azure OpenAI, Azure Functions, API Management, and other Azure services.
  • Develop and maintain Infrastructure as Code using Terraform and manage CI/CD pipelines.
  • Implement MCP-based tool integrations, observability, evaluation frameworks, and AI performance optimisation.
  • Ensure responsible AI practices, security, governance, and enterprise compliance.
  • Collaborate with architects, product managers, and business stakeholders to identify opportunities and deliver AI solutions.
  • Lead technical design reviews, mentor engineers, and establish development best practices.

Required Skills

  • 6–8+ years of software engineering experience, including 3–5+ years in AI/GenAI engineering.
  • Strong expertise in Generative AI, LLMs, prompt engineering, and agentic AI.
  • Hands-on experience developing AI agents, multi-agent orchestration, and RAG architectures.
  • Proficiency in Python and C#/.NET.
  • Experience with Microsoft Azure, Azure OpenAI, and Azure AI Search.
  • Knowledge of Microsoft Agent Framework, Microsoft 365 Agent SDK, or similar frameworks such as Semantic Kernel, LangChain, or LangGraph.
  • Strong understanding of REST APIs, microservices, distributed systems, and enterprise integrations.
  • Experience with Terraform, CI/CD, DevOps, and production deployment practices.
  • Understanding of MCP (Model Context Protocol), vector databases, AI evaluation, observability, and responsible AI

Preferred Qualifications

  • Experience building Microsoft Teams applications and Adaptive Cards.
  • Exposure to Azure AI Foundry, Azure AI Agent Services, LlamaIndex, Pinecone, or FAISS.
  • Experience delivering enterprise AI platforms and employee-facing AI applications.
  • Azure certifications such as AI-102, AZ-305, or AZ-400.

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