Responsibilities
Design end-to-end architecture for enterprise web, cloud, and AI applications
Build AI solutions using LLMs, RAG, AI Agents, Prompt Engineering, and Generative AI
Design microservices, REST APIs, system integrations, and event-driven architectures
Develop cloud-native solutions on AWS, Azure, or GCP using Docker, Kubernetes, and CI/CD
Collaborate with stakeholders to understand business requirements and recommend scalable technical solutions
Participate in solution design, architecture reviews, technical estimations, and Proof of Concepts (PoCs)
Mentor developers and ensure architecture best practices, security, scalability, and performance

Required Skills
4+ years of experience in Solution Architecture, Technical Architecture, or Senior Software Engineering
Hands-on experience with Generative AI, LLMs, RAG, AI Agents, LangChain, LangGraph, or MCP
Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or AWS Bedrock
Robust knowledge of Python (preferred), FastAPI,



or Java/.NET/Node.js
Experience with Vector Databases (Pinecone, ChromaDB, pgvector, FAISS, or MongoDB Atlas Vector Search)
Robust understanding of Microservices, REST APIs, System Design, Docker, Kubernetes, and CI/CD
Experience with AWS, Azure, or GCP
Positive communication, problem-solving, and stakeholder management skills

Preferred Skills
Multi-Agent AI and MCP (Model Context Protocol)
Prompt Engineering and LLM Evaluation
MLOps and AI Governance
Pre-sales or client-facing solution consulting experience
Cloud certifications (AWS, Azure, or GCP)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Ai Solution Engineer Chennai
🏢 Code Work It Solutions
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