Python Developer - Agentic AI

Position : Python Developer With Agentic AI

Location : Chennai/Hyderabad

Mode : Full-Time

Work Model : Hybrid (3 days WFO)

Work Time : 3 PM - 12 AM

Role Summary :

This role demands an experienced Agentic AI Developer to design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex, multi-step workflows within a fast-paced, agile environment.

Responsibilities :

• Design, develop, and test autonomous AI agents and multi-agent systems to solve complex business problems.

• Write clean, scalable, and maintainable production-grade code using Python.

• Deploy, manage, and scale AI architectures and agentic workflows securely on Google Cloud Platform (GCP).

• Integrate Large Language Models (LLMs) with external APIs, internal databases, and enterprise software toolchains.

• Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines and manage vector databases.

• Implement robust evaluation frameworks, strict grounding techniques, and anti-hallucination guardrails to ensure enterprise-grade reliability.

• Monitor agent performance, debug complex AI reasoning loops, and optimize systems for latency and cost.

• Collaborate closely with product managers, data engineers, and stakeholders to translate business requirements into technical AI solutions.

Required Skills :

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.

• Proven hands-on experience building and deploying generative AI applications in a production environment (6 to 12 months).

• Advanced proficiency in Python programming with 7 - 9 years of experience, including asynchronous programming and API development.

• Experience with GCP services, specifically Vertex AI, Cloud Run, Cloud Functions, and BigQuery (or) similar cloud experience in AWS or Azure.

• Deep understanding of LLM capabilities, advanced prompt engineering, and context window management.

• Strong foundational knowledge of vector search technologies, embeddings, and semantic search methodologies.

Good to have Skills :

• Experience designing complex multi-agent architectures where AI models collaborate to solve tasks.

• Practical experience with Gen AI orchestration and agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.