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.
- Good 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