AI/ML Tech Lead – Generative AI

About the role

We are seeking an AI/ML Tech Lead with strong hands-on experience in Generative AI to design and deliver production-grade LLM-powered solutions. This role focuses on building scalable GenAI systems on Google Cloud Platform (GCP), leveraging Gemini models, RAG architectures, and agentic workflows to solve complex business problems.

Responsibilities

• Design, build, and deploy production-ready Generative AI applications and APIs on GCP.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and unstructured data sources.
• Develop and manage end-to-end MLOps pipelines (training, evaluation, deployment, monitoring) using Vertex AI, Kubeflow, Cloud Build, and Terraform.
• Optimize model performance through fine-tuning, prompt engineering, and model compression techniques (e.g., GPTQ, AWQ).
• Architect scalable and cost-efficient GCP infrastructure with a strong focus on security, IAM, and VPC design.
• Collaborate cross-functionally to define AI/ML technical roadmaps and deliver business-impacting solutions.
• Ensure adherence to data privacy, security, and ethical AI standards (HIPAA, GDPR, where applicable).
• Provide technical leadership, guidance, and mentorship to team members.

Requirements

• 5–8+ years of industry experience in Machine Learning.
• 3+ years of hands-on experience building and deploying Generative AI / LLM-based solutions in production.
• Strong experience with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Dataflow, Cloud Run.
• Advanced proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with LLM frameworks/tools such as LangChain, LlamaIndex, or Hugging Face.
• Solid understanding of SQL and unstructured data processing.
• Experience with Docker, Kubernetes (GKE), and CI/CD pipelines.
• Experience with multi-agent systems and orchestration (LangGraph, AutoGen, etc.).
• Deep understanding of vector databases (Vertex AI Vector Search, Pinecone, Chroma).
• Google Cloud Professional Machine Learning Engineer certification.
• Proven ability to lead technical initiatives and mentor junior engineers.

Qualifications

• US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Skills

• Generative AI
• Google Cloud Platform (GCP)
• Machine Learning
• Python
• LLM frameworks/tools
• Vector databases
• CI/CD pipelines
• Multi-agent systems

Benefits

• Flexible schedule
• Professional development opportunities
• Competitive compensation
• Health insurance
• Retirement plan

Pay

Depending on experience (DOE)

Schedule

Full-time

Benefits

• Flexible schedule
• Professional development opportunities
• Competitive compensation
• Health insurance
• Retirement plan