Python Developer with Agentic AI

Wilco Source; Chennai District, Hyderabad; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Wilco Source is looking for a Python Developer with 9-12 years of experience in Chennai or Hyderabad. The role involves designing and building autonomous AI agents and collaborating with teams to deliver technical solutions. Strong proficiency in Python and GCP services is required.

This hybrid position offers an opportunity to work in a fast-paced environment while contributing to innovative AI projects.

Qualifications

• 9-12 years of experience, with 6-12 months in generative AI applications.
• Advanced proficiency in Python, including asynchronous programming.
• Deep understanding of LLM capabilities and vector search methodologies.

Responsibilities

• Design and test autonomous AI agents and multi-agent systems.
• Develop production-grade code using Python.
• Deploy AI architectures securely on Google Cloud Platform.

Skills

Python programming

GCP services

AI applications

Asynchronous programming

API development

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Google Cloud Platform

Docker

Kubernetes

Job description

Job Role: Python Developer with Agentic AI

Experience: 9 - 12 years

Job Location: Chennai / Hyderabad

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 Pythonprogramming 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.
• Background in implementing MLOps pipelines, CI/CD for machine learning, and automated model evaluation.
• Solid understanding of data security, privacy compliance, and AI governance best practices.
• Experience with containerization technologies like Docker and Kubernetes.

If you are interested, please share your resume to [e-mail]