Job Summary

We are looking for an experienced AI Application Engineer to build production-grade Generative AI applications. The ideal candidate should have hands-on experience developing LLM-powered solutions, designing high-quality RAG pipelines, implementing AI safety guardrails, and optimizing model performance for enterprise applications.

Key Responsibilities

Design, build, and deploy production-ready LLM applications.
Develop multi-step LLM workflows using LangChain, LlamaIndex, or custom orchestration frameworks.
Build and optimize RAG pipelines, including chunking, embeddings, vector search, reranking, and retrieval evaluation.
Implement AI safety features such as prompt injection prevention, jailbreak detection, hallucination mitigation, and content safety.
Work with NVIDIA AI technologies including NVIDIA NIM, NeMo, NeMo Guardrails, and NVIDIA Riva.
Develop streaming AI APIs and optimize model quality, latency, scalability, and production monitoring.
Build automated evaluation pipelines and feedback loops to continuously improve AI performance.

Required Skills





4 to 7 years of software engineering experience with 2+ years in production LLM application development.
Robust experience with Python, Async Programming, REST APIs, and AI service development.
Expertise in Prompt Engineering, Chain-of-Thought, Few-shot Prompting, Multi-turn Conversations, Session Memory, and Streaming LLMs.
Hands-on experience with LangChain, LlamaIndex, LLM orchestration, and conversational AI.
Solid knowledge of RAG, Embeddings, Vector Databases, Hybrid Search, Reranking, RAGAS/TruLens, and Retrieval Optimization.
Experience with NVIDIA NIM, NeMo Framework, NeMo Guardrails, NVIDIA Riva, and LLM deployment/inference.
Expertise in AI Safety, Prompt Injection Prevention, Jailbreak Testing, Hallucination Detection, Content Safety, and Guardrails.
Experience with LLM evaluation, A/B testing, latency profiling, model monitoring, and feedback loop design.

Nice To Have

Adaptive Lea

📌 AI Application Engineer (Bengaluru)
🏢 Customertimes
📍 Bengaluru