Overview
AI Engineer responsible for designing, building, and deploying LLM- and Generative AI-powered applications. The role combines prompt engineering, RAG, agentic workflows, model evaluation, and Java/Python backend development.
What you'll do
- Design and deploy LLM applications, including chatbots, copilots, agents, and RAG systems.
- Develop prompt engineering strategies for production use cases.
- Build RAG pipelines using embeddings, chunking, and vector databases.
- Fine-tune and evaluate open-source and closed-source LLMs.
- Implement agentic workflows with orchestration frameworks.
- Build Java and Python backend services and APIs for LLM applications.
- Monitor deployed systems for performance, safety, drift, and degradation.
What you'll need
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- Strong programming skills in Java and Python.
- Hands-on experience with LLM APIs and open-source LLMs.
- Practical experience with prompt engineering and RAG architecture.
- Experience with vector databases and embedding models.
- Familiarity with LLM orchestration frameworks such as LangChain, LangGraph, or LlamaIndex.
- Experience with REST or gRPC APIs, cloud platforms, Docker, and Kubernetes.
Nice to have
- Experience fine-tuning LLMs with LoRA, QLoRA, or PEFT.
- Experience designing multi-agent or tool-using AI workflows.
- Familiarity with LLM evaluation and safety tooling.
- Working knowledge of React for LLM-driven features.
- Experience with MLOps or LLMOps practices.
- Background in NLP or open-source LLM/Generative AI contributions.
Details
- Location: Noida, Uttar Pradesh, India.
Read the full description and apply on the company’s own careers page.
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