Role: Sr.
AI Engineer(5+ Years)/ AI Architect(10+ Years) Type of Employment : Full-Time Required Skills Sr.
Engineer (5+Years) :

Key Responsibilities
• Develop and integrate Generative AI and Agentic AI solutions using Anthropic Claude.
• Build Claude-based applications, AI agents, and workflows and integrate them with APIs and enterprise applications.
• Develop applications using Python, FastAPI, and REST APIs.
• Work on prompt engineering and RAG-based solutions to improve AI responses.
• Test, troubleshoot, and optimize GenAI applications for performance, accuracy, and reliability.
• Collaborate with software engineers, data scientists, and DevOps teams to deliver GenAI solutions. Required Skills
• 5–8 years of software development experience.
• Hands-on experience with Anthropic Claude / Claude APIs.
• Strong Python development experience.
• Experience with FastAPI and REST APIs.
• Knowledge of Generative AI, Agentic AI, prompt engineering, and RAG.
• Valuable communication and problem-solving skills. AI Architect : Architect (10+Years) : Required Skills
• Architect and implement agentic GenAI systems using modern LLM orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen, etc.).
• Design multi-agent architectures including planner–solver patterns, hierarchical agents, autonomous teams, and goal decomposition workflows.




• Define end-to-end GenAI architecture covering model selection, orchestration, memory, tools, security, observability, and deployment.
• Build reusable agent tooling, APIs, and memory architectures for coordination, context persistence, and scalable interaction.
• Lead hands-on development and production deployment of GenAI applications such as assistants, copilots, workflow automation, and decision-support systems.
• Evaluate, integrate, and optimize LLMs and multimodal models (OpenAI, Claude, Gemini, Mistral, LLaMA, etc.) and RAG pipelines using vector databases and retrieval systems.
• Optimize systems for performance, reliability, scalability, cost efficiency, and responsible AI constraints (security, privacy, bias, hallucinations).
• Establish and enforce GenAIOps / LLMOps practices including evaluation, monitoring, logging, feedback loops, and continuous improvement.
• Guide and mentor teams on agent design patterns, prompt engineering, tool abstraction, fine-tuning, and best practices.
• Partner with product, business, and domain stakeholders to translate business requirements into scalable agent-based solutions and AI roadmaps.
• Drive technology strategy and innovation by tracking advances in multi-agent systems, cognitive architectures, and open-source AI frameworks.

📌 AI Engineer/Architect (Hyderabad)
🏢 Excelra
📍 Hyderabad