TECHNICAL LEAD - Python

Mployee.me

Bengaluru

Sur place

INR 4 000 000 - 6 000 000

Plein temps

Il y a 3 jours
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Résumé du poste

Mployee.me is seeking an experienced GenAI Lead Developer to architect, build, and deploy enterprise-scale Generative AI solutions. Lead and mentor a team, set standards for AI design, and collaborate with business stakeholders to translate requirements into robust AI-powered applications.

You will drive development across LLMs, agentic workflows, RAG, and cloud-native AI services, ensuring performance, governance, and security while aligning with enterprise goals.

Qualifications

  • 8+ years of software development experience.
  • 3+ years in AI/ML or Generative AI development.
  • Proven track record of delivering enterprise AI solutions.

Responsabilités

  • Lead architecture and development of GenAI solutions for enterprise use cases.
  • Define AI design standards and best practices.
  • Mentor AI/ML engineers and developers.

Connaissances

GenAI Leadership
LLMs
Prompt Engineering
RAG Architecture
AI Agents
LangChain
Python
DevOps

Formation

Bachelor's or Master's in CS/AI/Data Science

Outils

LangChain
LangGraph
CrewAI
AutoGen
Semantic Kernel
LlamaIndex

Description du poste

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 Responsibilities Technical 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 Skills Generative 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.
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