Job Description

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