Sr .Net Developer (Automation Engineer)

Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.

Position: Sr .Net Developer (Automation Engineer)

Location: PAN India

Work Type: Hybrid

Job Type: Full Time

Job Description:

• The AI Engineer Consultant will design, develop, test, deploy, and support enterprise grade AI solutions for the client Global.
• This role will focus on Python based AI agent development, Model Context Protocol server integration, Retrieval Augmented Generation, LLM enabled applications, and secure AI workflow automation.
• The consultant will work closely with the client's Enterprise Architecture, Product, Data Engineering, Application Engineering, and Governance teams to deliver production ready AI capabilities that can be integrated into enterprise platforms and business workflows.
• This is a hands-on delivery role requiring strong engineering skills, rapid onboarding, independent execution, and the ability to produce maintainable, well documented solutions.
• Engagement Expectations
• The consultant is expected to quickly understand the client's technology environment, delivery processes, architecture standards, data governance requirements, and business context.
• The consultant will be responsible for delivering defined project outcomes, producing high quality code and technical documentation, supporting implementation activities, and providing knowledge transfer to internal client's teams to ensure long term maintainability.

Key Responsibilities:

• Design, build, test, and deploy Python based AI agents capable of executing complex, multi-step workflows across enterprise systems.
• Develop and integrate MCP servers to enable secure, standardized, and context aware interactions between AI agents, enterprise APIs, databases, internal tools, and knowledge repositories.
• Build LLM powered applications using agentic frameworks, tool use orchestration, prompt engineering, and workflow automation patterns.
• Develop custom Retrieval Augmented Generation using embeddings, vector databases, metadata filtering, document chunking, and semantic search.
• Integrate AI services with enterprise applications using Python, C# , .NET, REST APIs, GraphQL, and SQL based data sources .
• Implement secure tool calling patterns, role-based access controls, audit logging, human in the loop approvals, and traceability mechanisms.
• Build reusable AI components, agent tools, prompt templates, evaluation scripts, and orchestration workflows.
• Collaborate with AI Architects and Data Modelers to ensure AI solutions use accurate, governed, and explainable data.
• Support deployment, monitoring, troubleshooting, and performance tuning of AI applications in cloud or enterprise environments.
• Create clear technical documentation covering architecture, prompts, data flows, APIs, MCP interfaces, dependencies, and operational procedures.
• Conduct knowledge transfer sessions with the client's internal engineering teams.

Required Qualifications:

• Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• Strong hands-on experience developing production grade applications using Python .
• Working knowledge of C# and .NET for enterprise application integration.
• Strong SQL skills for querying, validating, and integrating structured enterprise data.
• Experience building AI agents, LLM applications, prompt workflows, and tool calling systems.
• Practical understanding of MCP server architecture and enterprise system integration patterns.
• Experience with LLMs such as OpenAI, Anthropic Claude, AWS Bedrock models, Azure OpenAI, Google Gemini, or similar platforms.
• Hands on experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI , or similar agentic AI frameworks.
• Experience with RAG pipelines, vector databases, embeddings, semantic search, and document processing.
• Experience developing APIs using FastAPI, Flask, .NET Web API, or similar frameworks.
• Understanding of authentication, authorization, secrets management, logging, observability, and secure coding practices.

Preferred Qualifications:

• Experience in financial services, market intelligence, ratings or regulated enterprise environments.
• Experience with AWS, Azure, or Google Cloud.
• Familiarity with vector databases such as OpenSearch, FAISS, Pinecone, Weaviate, Milvus, or pgvector.
• Experience with AI evaluation, hallucination detection, prompt regression testing, and LLM observability.

Key Skills

• Python, C# , .NET core , SQL, AI Agents, MCP Server, LLMs, RAG, LangChain, LlamaIndex, Semantic Kernel, FastAPI, , REST APIs, Vector Databases, Prompt Engineering, Cloud, CI/CD, AI Governance, Enterprise Integration.
• Expected Deliverables
• Production ready Python based AI agents.
• MCP server integrations.
• RAG pipelines and retrieval workflows.
• API integrations with enterprise systems.
• Prompt templates, agent tools, and evaluation scripts.
• Technical documentation and deployment guides.
• Knowledge transfer sessions for the client's teams.

TekWissen® Group is an equal opportunity employer supporting workforce diversity