AI Engineer (Agentic Systems)

About the Company:

Granules is a fully integrated pharmaceutical manufacturer specializing in Active Pharmaceutical Ingredients (APIs), Pharmaceutical Formulation Intermediates (PFIs), and Finished Dosages (FDs), with operations in over 80 countries and a focus on large-scale pharmaceutical manufacturing. Founded in 1984 and headquartered in Hyderabad, India, the company is publicly traded and employs 5,001 to 10,000 people.

About the Role:

We are hiring a AI Engineer (Agentic Systems) to design, build, and operate production-grade agentic AI systems for real-time, AI-driven products. This is a hands-on role focused on scalable LLM-based agents and strong system design, working closely with AI engineers and engineering leadership.

Responsibilities:

• Architect, develop, and integrate scalable agentic AI systems (autonomous and multi-agent, LLM-driven) into enterprise platforms and workflows.
• Design and evolve agent capabilities including planning, memory, RAG, tool usage, async task execution, and orchestration.
• Evaluate emerging agentic models and frameworks; prototype, benchmark, and optimize systems for performance, robustness, safety, and cost.
• Deploy and operate agentic systems in production; monitor behavior, diagnose anomalies, and implement feedback loops for continuous improvement.
• Collaborate with AI engineers and leadership to shape reliable, intuitive interactions with real-time AI systems.

Qualifications:

• Masters or PhD (or equivalent hands-on experience) in ML, AI, Computer Vision, Speech, or a related field.
• 5+ years of software engineering experience and 2+ years building LLM-based or agentic systems.

Required Skills:

• Strong proficiency in Python and experience with modern backend development.
• Hands-on experience with agent frameworks such as LangChain, OpenAI Agents SDK, Google ADK, or similar.
• Experience building agentic systems, including chat or conversational interfaces, workflow-driven agents, tool use, and LLM-based protocols (e.g., MCP-style or equivalent).
• Proven track record building production AI agents with planning, memory, tool use, delegation, and retrieval.
• Experience with vector databases and semantic search (FAISS, Pinecone, Milvus, Weaviate, or similar).
• Strong system design skills and ability to clearly communicate complex technical concepts.

Nice to Have:

• Experience deploying agentic systems on platforms such as Vertex AI, Databricks, or AWS Bedrock.
• Familiarity with agent safety, evaluation, and governance (e.g., RLHF, guardrails, monitoring).
• Background in distributed systems, performance-critical workloads, or GPU-based systems.

Equal Opportunity Statement:

We are committed to diversity and inclusivity in our hiring practices.