Location: Hybrid / Onsite / Remote
Experience Required: 5-6 Years
Department: AI Engineering
Role Overview
Seeking a hands-on AI Developer to build Agentic AI solutions including RAG pipelines, multi-agent orchestration, and enterprise integrations. The role involves developing scalable, production-grade AI systems using modern frameworks and tools.
Key Responsibilities
- Develop Agentic AI systems and workflows
- Build and optimize RAG pipelines with vector databases
- Develop APIs using FastAPI/Flask
- Create UI components using React. js
- Integrate LLMs with enterprise systems
- Implement multi-agent orchestration frameworks
- Manage CI/CD pipelines
- Use GitHub and JIRA for development lifecycle
- Continuously evaluate latest AI tools and libraries
Required Skills
- Robust Python programming
- Experience with Agentic AI frameworks (LangChain, CrewAI, etc. )
- Understanding of RAG architecture
- Knowledge of vector databases
- LLMs and prompt engineering
- React. js development
- REST API development
- CI/CD tools knowledge
- GitHub and JIRA experience
Good to Have
- Cloud platforms (AWS/Azure/GCP)
- Docker Kubernetes
- Observability tools
- AI security and guardrails
Soft Skills
- Problem-solving mindset
- Strong communication
- Adaptability and learning attitude
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.