Applied AI Engineer
Nextracker (company site, opens in a new tab)5–8 yrsHyderabadOn-siteDirect career pageEst. 18–35 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy practical agentic AI applications and workflows integrated into enterprise platforms using Python/Django, Go, and Angular/TypeScript on Azure.
- Design, build, and maintain AI features involving tool/function calling, workflow orchestration, multi-agent systems, and human-in-the-loop controls with a focus on reliability, security, and maintainability.
- Implement backend AI services with APIs, asynchronous processing, automated evaluation, observability, and guardrails addressing prompt injection and unsafe actions.
Minimum Requirements
- 5-8 years experience with a Bachelor's degree, 3-6 years with a Master's, or 0-3 years with a PhD in Computer Science, IT, Engineering or related field.
- Professional software engineering experience with strong Python backend skills (Django, FastAPI or similar).
- Experience in building LLM-powered or agentic AI applications or production features with practical knowledge of LLM application patterns and frameworks like LangChain or Semantic Kernel.
- Experience with APIs, PostgreSQL/MySQL, Redis, Docker, asynchronous workflows, testing, observability, and responsible AI practices.
Ideal Candidate Profile
- Experienced engineer capable of balancing rapid AI prototyping with security, reliability, and maintainability in production environments.
- Skilled in integrating complex AI workflows involving multi-agent orchestration, human-in-the-loop controls, and backend API design.
- Familiar with cloud AI platforms—especially Azure AI services—and experienced with asynchronous, event-driven architectures and vector databases.