Job highlights

- Hands-on experience developing Generative AI and Agentic AI solutions using Python,LLM APIs and modern agent / RAG frameworks.
- Candidate should be capable of integrating AI agents with engineering systems such as CI / CD,test automation,defect-management systems,source repositories and log / telemetry platforms.

Applied AI / Agentic Automation Skills: Hands-on experience developing Generative AI and Agentic AI solutions using Python, LLM APIs and up-to-date agent/RAG frameworks.

Candidate should be capable of integrating AI agents with engineering systems such as CI/CD, test automation, defect-management systems, source repositories and log/telemetry platforms.

Experience in AI-driven test selection, failure triage, root-cause analysis, code/change-impact analysis or engineering productivity automation is strongly preferred

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.

📌 AI ML Engineer (Warangal)
🏢 Proxelera
📍 Warangal