Function : Software Engineering Backend Development, Full-Stack Development, Data Science & Analytics Data Science / Machine Learning

Skills : AI Agents, Agentic AI, Gen AI, LLM, Large Language Model, Large Language Models, Python

We are looking for experienced AI/ML and Agentic AI Engineers with strong hands-on expertise in Python, Agentic AI, and AI/ML engineering. The role involves designing, developing, integrating, and deploying AI-powered solutions across enterprise platforms.

Responsibilities :

- Design and develop Agentic AI and LLM-based solutions using Python.

- Build AI agents, workflows, and intelligent automation solutions.

- Develop and integrate APIs and enterprise applications.

- Work on RAG (Retrieval-Augmented Generation) pipelines and prompt engineering.

- Develop and deploy AI/ML solutions using cloud-native technologies.

- Implement CI/CD pipelines and DevOps practices for AI applications.

- Perform testing, monitoring, and troubleshooting of AI/ML applications.

- Implement observability and monitoring for AI systems and enterprise platforms.

- Ensure AI solutions meet security, reliability, and responsible AI requirements.

- Work on enterprise platform connectivity and system integration.

- Collaborate with cross-functional teams to deliver scalable AI solutions.

Requirements :

- Strong hands-on experience in Python.

- Hands-on experience in AI/ML engineering.

- Strong knowledge of Agentic AI / AI Agents.

- Experience with LLM applications and prompt engineering.

- Experience with RAG and AI application development.

- Strong understanding of APIs and system integration.

- Experience with cloud-native application deployment.

Primary Focus Areas : Agentic AI, LLM, Prompt Engineering, RAG, Python Engineering, APIs, Cloud-Native Deployment, CI/CD, System Integration, Testing, Observability, Responsible AI.

Ideal Candidate : A hands-on AI/ML engineer with 5 - 12 years of experience who has practical expertise in Python and modern Agentic AI/LLM technologies, along with experience integrating and deploying AI solutions in enterprise environments.

Supporting Skills :

- Cloud technologies

- DevOps and CI/CD

- Software testing

- Observability and monitoring

- Security

- Responsible AI

- Enterprise platform integration/connectivity