AI - Engineer
CorroHealth (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 10–18 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy LLM-powered AI applications including chatbots, RAG systems, and agentic workflows.
- Develop and optimize prompt engineering strategies and maintain retrieval-augmented generation pipelines using vector databases.
- Build and manage backend services in Java/Python at scale, implement evaluation frameworks, and enforce responsible AI guardrails and monitoring.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field (or equivalent practical experience).
- Strong programming skills in Java and Python.
- Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini) and open-source LLMs, plus practical experience in prompt engineering and RAG architecture.
- Experience with vector databases, LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex), REST/gRPC APIs, and cloud platforms (AWS/GCP/Azure) with containerization (Docker/Kubernetes).
Ideal Candidate Profile
- Experienced in deploying and fine-tuning state-of-the-art LLMs including open-source models using methods like LoRA/QLoRA, instruction tuning, and RLHF.
- Capability to handle full-stack LLM features including backend API services and collaboration or contribution in React front-end integration.
- Familiar with multi-agent AI workflows, LLM evaluation tools, responsible AI safeguards, and MLOps/LLMOps practices for model/versioning/observability in fast-evolving AI landscapes.