Consultant - Python Agentic AI

enGen Global; Chennai; Sur place; INR 3 500 000 - 6 000 000; Plein temps

Résumé du poste

enGen Global is seeking an experienced Agentic AI Developer to design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows in a fast-paced environment. You will work with Python, GCP Vertex AI, LLMs, and vector databases to deliver scalable AI solutions while ensuring reliability and security across enterprise systems.

Collaborating with product managers and data engineers, you will optimize latency, cost, and governance, and implement robust

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
• Hands-on experience deploying generative AI applications in production.
• Advanced Python programming with 7-9 years of experience, including asynchronous programming and API development.
• Experience with GCP Vertex AI, Cloud Run, Cloud Functions, and BigQuery.
• Deep understanding of LLM capabilities, advanced prompt engineering, and context window management.
• Practical experience with Gen AI orchestration and agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.
• Strong foundational knowledge of vector search technologies, embeddings, and semantic search methodologies.

Responsabilités

• 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, cloud 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.

Connaissances

Python programming

Generative AI

GCP Vertex AI

LLM understanding

Gen AI orchestration

Vector search

Formation

Bachelor's or Master's in CS/AI/Software Eng

Description du poste

Job 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, cloud 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.
• Advanced proficiency in Python programming with 7-9 years of experience, including asynchronous programming and API development.
• Experience with GCP services, specifically Vertex AI, Google ADK, Cloud Run, Cloud Functions, and BigQuery.
• Deep understanding of LLM capabilities, advanced prompt engineering, and context window management.
• Practical experience with Gen AI orchestration and agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.
• Strong foundational knowledge of vector search technologies, embeddings, and semantic search methodologies.

Desirable Skills

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