Job highlights

- Experience in working with LLMs such as GPT-4,Claude 2 / Gemini,etc. . Robust hands-on knowledge of RAG systems and multi-agent frameworks like LangGraph,LangChain,or AutoGen. . Proficiency in Python and familiarity with cloud-native deployments (e.g.,APIs,containers,microservices).

- Experience in working with graph-based memory and LLM tool use patterns

- Preferred skill sets

Job Summary

We are seeking a passionate and skilled AI Engineer with 3-7 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling.

Responsibilities

- Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness.

- Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.

- Integrate with graph-based memory and tool-using agents to enhance LLM capabilities.

- Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).

- Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.).

- Write clean, efficient, and scalable code in Python (or other languages as needed).

- Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems.

- Ensure system scalability, reliability, and maintainability through strong software engineering practices.





Mandatory skill sets

- 3-7 years of total experience in AI/ML or software engineering.

- Minimum 2 years of hands-on experience in building and deploying GenAI systems.

- Experience in working with LLMs such as GPT-4, Claude 2/Gemini, etc.

- Strong hands-on knowledge of RAG systems and multi-agent frameworks like LangGraph, LangChain, or AutoGen.

- Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices).

- Solid understanding of software engineering best practices, including version control, testing, and CI/CD.

- Experience in working with graph-based memory and LLM tool use patterns.

Preferred skill sets

- Experience with tool-using agents, memory-augmented architectures, or cognitive architectures.

- Prior contributions to open-source GenAI or agent frameworks.

- Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services.

- Background in optimization, evaluation, and prompt engineering for LLM systems.

- Experience in deploying AI systems in production environments and maintaining performance at scale.

Education qualification

- Bachelor's degree in Computer Science, Engineering, or a related field

- Years of experience required: 3+ to 7

Disclaimer: 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.

📌 IN_Senior Associate_ GenAI and Agentic AI_GCC_Advisory_Bangalore (Bengaluru)
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