Sr. ML Engineer
ConveGenius (company site, opens in a new tab)Uttar PradeshOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and ship production-grade LLM-powered applications and systems (RAG pipelines, agentic workflows, tool-calling) focused on personalized learning in Indian educational contexts.
- Own end-to-end system architecture including data pipelines, retrieval layers, orchestration, APIs, and service infrastructure as production-quality code.
- Develop rigorous LLM evaluation frameworks with benchmarks, regression tests, human evaluation loops, and optimize latency and cost for scalable, affordable production use.
Minimum Requirements
- Strong production experience in Python engineering with maintainable, tested code and ownership of production services.
- Hands-on experience building and deploying RAG or agentic systems in production, including retrieval design and orchestration frameworks.
- Proven experience creating and operating LLM evaluation systems (benchmarks, regression tests, monitoring).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in end-to-end LLM production system design and operation with focus on education-specific applications.
- Comfortable working in ambiguity with high ownership and rapid iteration in early-stage 0-to-1 product development environments.
- Familiarity with open-source and sovereign LLMs integration, cloud ML infrastructure, and backend services supporting scalable AI solutions.