ABOUT THE ROLE

We are looking for a skilled and self-driven Agentic AI Engineer with 4-5 years of experience to join our growing AI practice in Bengaluru. In this role, you will design and deploy cutting-edge Generative AI and agentic systems including LLMpowered chatbots, RAG pipelines, and autonomous AI agents that solve real business problems for our clients. You will own solutions end-to-end: from architecture and model fine-tuning through CI/CD deployment and production monitoring, while serving as a technical point of contact for client stakeholders.

KEY RESPONSIBILITIES

Design, develop, and deploy machine learning and Generative AI models tailored to business use cases.

Build and optimize chatbots and conversational AI systems using LLMs and contemporary conversational frameworks.

Implement RAG-based (Retrieval-Augmented Generation) architectures for intelligent, context-aware information retrieval.

Develop, iterate, and fine-tune prompt engineering strategies to maximise LLM application performance.

Design and build agentic AI workflows including autonomous agents, tool-use pipelines, and multi-agent systems.

Work with AWS cloud services for solution deployment, monitoring, and auto-scaling.

Collaborate with cross-functional teams (product, data, DevOps)



and serve as a direct technical liaison with clients.

Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for seamless model deployment and updates.

Ensure production-grade model performance, scalability, reliability, and observability.

Mentor junior team members and contribute to best practices across the AI engineering team.

REQUIRED SKILLS & EXPERIENCE Core AI / ML

Hands-on experience building and deploying Agentic AI systems (Must-Have).

Strong, production-grade proficiency in Prompt Engineering for LLM-based applications (Must-Have).

Experience designing RAG architectures (vector databases, embeddings, semantic search).

Chatbot and conversational AI development using frameworks such as LangChain, LlamaIndex, or similar.

Solid understanding of machine learning concepts, model evaluation, and deployment workflows.

Programming & Tools

Strong Python proficiency NumPy, Pandas, Scikit-learn, and AI/ML libraries.

Intermediate-level experience with AWS cloud services.

Hands-on experience with Azure services (Azure OpenAI, Azure ML, Azure Functions, etc.).

CI/CD pipeline experience Azure DevOps, GitHub Actions, and/or Jenkins

📌 Agentic AI Engineer (Karnataka)
🏢 Bsc Solutions India
📍 Karnataka