Gen-AI Tech Lead - Enterprise AI Applications

Gen-AI Tech Lead - Enterprise AI Applications

About Us

We're a cutting-edge technology company building enterprise-grade AI solutions that transform how businesses operate. Our platform leverages the latest in Generative AI to create intelligent applications for document processing, automated decision-making, and knowledge management across industries.

Role Overview

We're seeking an exceptional Gen-AI Tech Lead to architect, build, and scale our next-generation AI-powered enterprise applications. You'll lead the technical strategy for implementing Large Language Models, fine-tuning custom models, and deploying production-ready AI systems that serve millions of users.

Key Responsibilities - AI/ML Leadership (90% Hands-on)

• Design and implement enterprise-scale Generative AI applications using custom LLMs or (GPT, Claude, Llama, Gemini)
• Lead fine-tuning initiatives for domain-specific models and custom use cases
• Build and optimize model training pipelines for large-scale data processing
• Develop RAG (Retrieval-Augmented Generation) systems with vector databases and semantic search
• Implement prompt engineering strategies and automated prompt optimization
• Create AI evaluation frameworks and model performance monitoring systems

Enterprise Application Development

• Build scalable Python applications integrating multiple AI models and APIs
• Develop microservices architecture for AI model serving and orchestration
• Implement real-time AI inference systems with sub-second response times
• Design fault-tolerant systems with fallback mechanisms and error handling
• Create APIs and SDKs for enterprise AI integration
• Build AI model version control and A/B testing frameworks

MLOps & Infrastructure

• Containerize AI applications using Docker and orchestrate with Kubernetes
• Design and implement CI/CD pipelines for ML model deployment
• Set up model monitoring, drift detection, and automated retraining systems
• Optimize inference performance and cost efficiency in cloud environments
• Implement security and compliance measures for enterprise AI applications

Technical Leadership

• Lead a team of 3-5 AI engineers and data scientists
• Establish best practices for AI development, testing, and deployment
• Mentor team members on cutting-edge AI technologies and techniques
• Collaborate with product and business teams to translate requirements into AI solutions
• Drive technical decision-making for AI architecture and technology stack

Required Skills & Experience Core AI/ML Expertise

• Python: 5+ years of production Python development with AI/ML libraries
• LLMs: Hands-on experience with GPT-4, Claude, Llama 2/3, Gemini, or similar models
• Fine-tuning: Proven experience fine-tuning models using LoRA, QLoRA, or full parameter tuning
• Model Training: Experience training models from scratch or continued pre-training
• Frameworks: Expert-level knowledge of PyTorch, TensorFlow, Hugging Face Transformers
• Vector Databases: Experience with Pinecone, Weaviate, ChromaDB, or Qdrant

Technical StackAI/ML Stack

• Models: OpenAI GPT, Anthropic Claude, Meta Llama, Google Gemini
• Frameworks: PyTorch, Hugging Face Transformers, LangChain, LlamaIndex
• Training: Distributed training with DeepSpeed, Accelerate, or Fairscale
• Serving: vLLM, TensorRT-LLM, or Triton Inference Server
• Vector Search: Pinecone, Weaviate, FAISS, Elasticsearch

Infrastructure & DevOps

• Containerization: Docker, Kubernetes, Helm charts
• Cloud: AWS (ECS, EKS, Lambda, SageMaker), GCP Vertex AI
• Databases: PostgreSQL, MongoDB, Redis, Neo4j
• Monitoring: Prometheus, Grafana, DataDog, MLflow
• CI/CD: GitHub Actions, Jenkins, ArgoCD

Professional Growth

• Work directly with founders and C-level executives
• Opportunity to publish research and speak at AI conferences
• Access to latest AI models and cutting-edge research
• Mentorship from industry experts and AI researchers
• Budget for attending top AI conferences (NeurIPS, ICML, ICLR)

Ideal Candidate Profile

• Passionate about pushing the boundaries of AI technology
• Strong engineering mindset with focus on production systems
• Experience shipping AI products used by thousands of users
• Stays current with latest AI research and implements cutting-edge techniques
• Excellent problem-solving skills and ability to work under ambiguity
• Leadership experience in fast-paced, high-growth environments

Apply now and help us democratize AI for enterprise customers worldwide.

Job Type: Full-time

Pay: ₹900,000.00 - ₹1,600,000.00 per year

Schedule:

• Monday to Friday

Supplemental Pay:

• Performance bonus