We are looking for an Agentic AI engineer to build next-generation autonomous AI systems capable of goal directed behavior, planning, and adaptive decision-making. He should have 3 to 6 years of experience building LLM or GenAI applications, with at least one that reached production. The engineer will work at the intersection of machine learning, AI architectures, and software engineering to develop intelligent agents that can reason, interact with environments, and autonomously achieve complex objectives.
- Strong hands-on programming skills in Python, Java, and API integration
- Experience designing and developing Agentic AI systems using LLMs, tools, and autonomous workflows
- Experience with some agentic framework like Langgraph, CrewAI, Autogen etc
- Ability to build multi-agent architectures, orchestration logic, and decision-making pipelines
- Proficiency in prompt engineering, RAG pipelines, vector databases, and AI frameworks
- Develop scalable backend services, microservices, and cloud-native AI applications
- Strong understanding of software engineering fundamentals, system design, debugging, and performance optimization
- Experience integrating AI agents with enterprise systems, databases, and third-party platforms
- Build secure, reliable, and production-ready AI solutions with monitoring and logging
- Familiarity with AWS/Azure/GCP, Docker, Kubernetes, and CI/CD pipelines
- Strong problem-solving skills with the ability to rapidly prototype and iterate AI solutions
- Experience working with Git, collaborative development workflows, and code quality practices.