Job Summary
We are looking for a hands‑on AI Engineer to design, develop and deploy enterprise-scale Generative AI and Agentic AI solutions. The role involves building AI agents, LLM applications, RAG pipelines, API integrations and intelligent workflow automations for enterprise use cases.
Key Responsibilities
- Design, develop and deploy AI Agents / Agentic AI solutions from concept to production.
- Build GenAI/LLM applications, RAG pipelines and intelligent automation workflows.
- Develop AI services and integrations using Python, FastAPI/REST APIs and enterprise systems.
- Implement LangChain, LangGraph or similar AI orchestration frameworks.
- Integrate LLMs with APIs, enterprise applications, databases and external tools using tool/function calling.
- Develop scalable, secure and reliable AI solutions for production environments.
- Perform AI evaluation, testing, debugging, monitoring and optimization.
- Implement appropriate AI guardrails, security, privacy and responsible AI practices.
- Work with cloud platforms such as AWS, Azure or GCP.
- Follow software engineering best practices including Git, CI/CD, testing, documentation and code reviews.
- Collaborate with product, engineering and business stakeholders to translate requirements into technical solutions.
Required Skills
- 9+ years of overall software engineering experience
- 2+ years of hands‑on GenAI / Agentic AI experience
- Strong hands‑on Python development
- Strong experience with AI Agents / Agentic AI
- Experience with RAG / Retrieval-Augmented Generation
- Strong knowledge of LLMs / Generative AI
- Hands‑on experience with LangGraph / LangChain
- Experience with tool calling / function calling / API integrations
- Strong experience developing REST APIs / FastAPI
- Experience deploying AI solutions into production environments
- Strong software engineering fundamentals: coding, testing, debugging, Git and deployment
Preferred Skills
- MCP / Multi-Agent Systems
- LLM evaluation and observability
- AI guardrails / Responsible AI
- Vector databases
- Docker / Kubernetes / CI/CD
- AWS / Azure / GCP
- Experience building enterprise AI platforms or workflow automation
Who We're Looking For
Candidates who have personally designed and implemented AI solutions end‑to‑end from architecture and development through integrations, testing/evaluation, deployment and production support.
Location: Hyderabad
Experience: 9+ Years
Industry Preference: Product companies / GCCs / Technology / Enterprise AI