Gen AI Lead

Jumbo Consultants; Hyderabad, Pune District, Bengaluru; Hybride; INR 3 500 000 - 6 000 000; Plein temps

Résumé du poste

Jumbo Consultants in Hyderabad, India seeks a senior Generative AI Lead with 8+ years of experience to design, build, and optimize GenAI workflows. You will apply Python, work with LLM APIs, and orchestrate AI agents using AutoGen or similar frameworks to drive intelligent automation.

Responsibilities include deploying AI solutions on Azure AI, leveraging Azure AI Search and cognitive services, collaborating with cross-functional teams, and ensuring scalable, reliable pipelines.

Qualifications

• 8+ years of Python development focused on AI/ML applications.
• Hands-on experience with LLM APIs and architectures.
• Proven ability to orchestrate AI agents (AutoGen/LangChain).
• Strong knowledge of Azure AI services, especially Azure AI Search and cognitive APIs.
• Independent problem-solver with excellent collaboration skills.
• Experience with prompt engineering and fine-tuning is a plus.

Responsabilités

• Develop, integrate, and deploy AI-driven solutions using Python.
• Work with LLM APIs such as OpenAI and Anthropic within GenAI projects.
• Implement and manage AI agent frameworks like AutoGen.
• Leverage Azure AI ecosystem, including Azure AI Search and cognitive services.
• Design GenAI workflows for performance, reliability, and scalability.
• Collaborate with cross-functional teams to identify use cases and deliver AI solutions.
• Troubleshoot AI pipelines with minimal supervision and document processes.

Connaissances

Python development

LLMs

AI/ML applications

AI agent orchestration

AutoGen

LangChain

Azure AI services

Azure AI Search

Large-scale data

Outils

AutoGen

LangChain

Semantic Kernel

Docker

Kubernetes

OpenAI API

Anthropic Claude

Description du poste

Please consider the following mandatory criteria before submitting any profile:

• Strong Python experience
• Minimum 4-5 Gen AI project should be in profile
• Experience working with large-scale data
• Microsoft Azure / Azure AI Search experience of at least 2 years, specifically within Gen AI projects
• Hands-on experience with Multi-Agent Frameworks, preferably AutoGen
• Minimum 1 year of relevant AutoGen experience in client or production projects (self-learning or personal projects will not be considered)

Role Overview:

We are seeking a highly skilled and motivated Generative AI Lead with 8+ years of experience to join our AI innovation team. The ideal candidate will have strong proficiency in Python, hands-on experience with Large Language Models (LLMs), and a deep understanding of AI agent orchestration frameworks. You will be responsible for designing, building, and optimizing GenAI workflows that drive intelligent automation and enhance user experiences.

Key Responsibilities:

• Develop, integrate, and deploy AI-driven solutions using Python.
• Work with LLM APIs such as OpenAI GPT, Anthropic Claude, or similar platforms.
• Implement and manage AI agent frameworks like AutoGen or other orchestration tools.
• Leverage Azure AI ecosystem, including Azure AI Search and cognitive services, to build scalable GenAI applications.
• Design and experiment with GenAI workflows, ensuring performance, reliability, and scalability.
• Collaborate with cross-functional teams to identify use cases and deliver impactful AI solutions.
• Troubleshoot and resolve issues in AI pipelines with minimal supervision.
• Document technical processes and contribute to knowledge sharing across the team.

Required Skills & Qualifications:

• 8+ years of experience in Python development, with a focus on AI/ML applications.
• Proven experience working with LLMs and their APIs.
• Hands-on expertise in AI agent orchestration tools (e.g., AutoGen, LangChain, etc.).
• Strong understanding of Azure AI services, especially Azure AI Search and cognitive APIs.
• Ability to work independently and solve complex problems in dynamic environments.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with prompt engineering and fine-tuning LLMs.
• Familiarity with MLOps practices and deployment pipelines.
• Exposure to cloud-native development and containerization (Docker, Kubernetes).
• Knowledge of data privacy and ethical AI principles.

Profiles must have :

• OpenAI LLMs (GPT 4, GPT 5)
• Microsoft Azure (Azure AI Search)
• Agentic Frameworks : (Autogen / Semantic Kernel)
• Experience with Large Scale Data.