Job Summary

We are looking for an experienced Agentic AI Engineer to design, develop, and deploy production-grade AI agent systems powered by Large Language Models (LLMs). The role involves building autonomous multi-agent architectures that can generate, evaluate, and orchestrate content and workflows with robust validation mechanisms and human-in-the-loop controls.

The ideal candidate should have hands-on experience taking LLM-powered AI solutions from prototype to production, with expertise in agent frameworks, RAG pipelines, AI evaluation, and scalable AI engineering practices.

Roles Responsibilities
Design and implement scalable multi-agent AI architectures, including generation, evaluation, and orchestration agents.
Build and deploy LLM-powered generation pipelines that deliver reliable and high-quality outputs at scale.
Develop LLM-as-a-Judge and critic-agent frameworks to evaluate AI outputs for quality, accuracy, and compliance.
Engineer effective prompting, grounding, and Retrieval-Augmented Generation (RAG) strategies using trusted data sources.




Implement human-in-the-loop workflows, approval mechanisms, and feedback loops to continuously improve agent performance.
Optimize AI systems for cost, latency, scalability, and quality.
Build observability frameworks with tracing, monitoring, and evaluation metrics for AI applications.
Collaborate with data scientists, engineers, and business teams to deliver enterprise-grade AI solutions.
Ensure responsible AI practices through guardrails, safety controls, and content governance mechanisms.

Primary Skills

Must-Have Skills:
Robust proficiency in Python with hands-on experience developing production-grade AI applications.
Experience building LLM-powered applications and generative AI solutions in production environments.
Hands-on experience with multi-agent frameworks such as:
LangGraph
LangChain
CrewAI
AutoGen
Robust understanding of Prompt Engineering
Retrieval-Augmented G

📌 Sr Ai Engineer Bengaluru
🏢 Latentview
📍 Bengaluru