TECHNICAL LEAD - Python

Experience

8 - 14 Years

Role Summary

We are seeking an experienced GenAI Lead Developer to design, develop, and deploy enterprise-scale Generative AI solutions. The ideal candidate will lead the development of AI-powered applications leveraging Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and cloud-native AI services while mentoring a team of engineers and collaborating with business stakeholders.

Key ResponsibilitiesTechnical Leadership

• Lead the architecture and development of GenAI solutions for enterprise use cases.
• Define AI application design standards, development guidelines, and best practices.
• Provide technical leadership and mentorship to AI/ML engineers and developers.
• Drive code reviews, solution reviews, and performance optimization.

GenAI Solution Development

• Design and implement applications using GPT, Azure OpenAI, Claude, Gemini, or open-source LLMs.
• Build Agentic AI workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel.
• Develop Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Build conversational AI assistants, copilots, and enterprise knowledge solutions.

AI Engineering

• Develop prompt engineering strategies for business use cases.
• Fine-tune and optimize foundation models where applicable.
• Implement AI model evaluation, monitoring, and governance frameworks.
• Ensure responsible AI, compliance, and security standards.

Cloud & DevOps

• Deploy AI solutions on Azure, AWS, or GCP.
• Implement CI/CD pipelines for AI applications.
• Work with containerization technologies such as Docker and Kubernetes.
• Monitor performance, scalability, and operational efficiency.

Stakeholder Management

• Translate business requirements into AI-driven solutions.
• Collaborate with product, engineering, architecture, and business teams.
• Present solution approaches and technical recommendations to leadership.

Required SkillsGenerative AI

• LLMs (GPT-4/4o, Claude, Gemini, Llama, Mistral)
• Prompt Engineering
• RAG Architecture
• AI Agents & Autonomous Workflows
• LLM Evaluation & Guardrails
• Fine Tuning Concepts

AI Frameworks

• LangChain
• LangGraph
• CrewAI
• AutoGen
• Semantic Kernel
• LlamaIndex

Programming

• Python (Mandatory)
• FastAPI / Flask
• REST APIs
• Microservices Architecture

Data & Vector Databases

• Pinecone
• ChromaDB
• Weaviate
• FAISS
• Azure AI Search

Cloud Platforms

• Azure OpenAI Services
• Azure AI Foundry
• AWS Bedrock
• Google Vertex AI

DevOps & Engineering

• GitHub
• Docker
• Kubernetes
• CI/CD Pipelines
• MLOps / LLMOps

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields.
• 8+ years of software development experience.
• 3+ years of hands-on experience in AI/ML or Generative AI development.
• Proven track record of delivering enterprise AI solutions.