About Our Client

A company operating in the pharmaceutical industry, based in Hyderabad.

Job Description

- Design, develop, and deploy production-grade Agentic AI systems using LLMs and multi-agent architectures.
- Build and enhance agent capabilities including planning, memory, RAG, tool integration, orchestration, and asynchronous task execution.
- Evaluate emerging AI models and frameworks, and optimise solutions for performance, reliability, safety, and cost.
- Deploy, monitor, and continuously improve AI systems operating in production environments.
- Collaborate with AI engineers and business stakeholders to deliver scalable AI-driven products and workflows.

The Successful Applicant

We're looking for someone who has:

- An understanding of the pharmaceutical industry. Strong experience in Python and backend development.




- Hands-on experience building LLM-based applications, AI agents, or GenAI solutions.
- Expertise with frameworks such as Lang Chain, OpenAI Agents SDK, Google ADK, or similar.
- Experience with vector databases and semantic search technologies (FAISS, Pinecone, Milvus, Weaviate, etc.). [
- Knowledge of cloud AI platforms such as AWS Bedrock, Vertex AI, or Databricks is preferred.

What's on Offer

- Prospect to build next-generation AI products and enterprise-scale agentic systems.
- Work on cutting-edge technologies including LLMs, RAG, multi-agent orchestration, and autonomous AI workflows.
- Collaborate with a high-impact team focused on innovation and digital transformation.

📌 SSE Agentic Systems || 4-8 years || Hyderabad
🏢 Michael Page
📍 Hyderabad