Core Responsibilities
Design, develop, and deploy generative AI applications and systems (e.g., intelligent document processing, conversational agents, knowledge retrieval systems)
Work with data scientists and engineers to source, clean, and prepare datasets to build and optimize RAG (Retrieval-Augmented Generation) pipelines, multi-agent workflows, conversational interfaces) through API integration with LLMs (provided by OpenAI, Anthropic, Google), open-source models (e.g. Hugging Face/Lllama), and orchestration frameworks (LangChain, LangGraph, LlamaIndex).
Integrate AI solutions into applications-build APIs, front-ends, and other endpoints for model interaction.
Test, evaluate, and validate generative AI outputs for quality, safety, and fairness by using evaluation frameworks for LLM applications (accuracy, hallucination, recall).
Implement prompt optimization strategies for cost and quality.
Design conversation management and memory systems
Build guardrails and safety layers for production LLM applications
Document solutions, experiments, and code to ensure best practices and reproducibility.




Collaborate closely with business and technical teams to align AI solutions with user and project needs.

Mandatory Skills
Lead the design, implementation, and optimization of advanced/end-to-end generative architectures, including RAG, agents, and guardrails.
Design evaluation strategies for complex LLM systems.
Lead implementation of multi-agent orchestration systems.
Design cost optimization strategies across LLM providers.
Evaluate third-party models, frameworks, and open-source tools for adoption.
Guide teams in responsible AI practices (e.g., explainability, fairness).
Engage with non-technical stakeholders to clarify complex AI concepts and solution value.
Lead code reviews, establish coding standards, and mentor less experienced team members.

This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Hcf Ai Engineer Bengaluru
🏢 Ibu
📍 Bengaluru