Vacancy description
Senior AI Engineer - Generative AI Solutions in Pune, भारत
Spectral Consultants
Pune, भारत
Role : Senior AI Engineer - (Python+ C#/.Net)Experience : 4 - 8+ YearsLocation : PuneNotice Period : 60 DaysKey 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 https://jobeax.com/link/wJIgo45kO3tINlTo 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 https://jobeax.com/link/B7lsX3JkWCujbdVN 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. (ref:hirist.tech)