Lead AI/ML Engineer Generative AI Platforms

Enterprise Generative AI Engineers (Lead Mid-Level)
Location: Remote
Engagement Type: Contract (Offshore/Nearshore)
Team Size: 23 (1 Lead + 12 Engineers)
Duration: Flexible based on project scope
About The Role
We are seeking a small, high-impact team of Enterprise Generative AI Engineers to design, build, and deploy production-grade AI solutions across multiple industry verticals. This role is ideal for professionals experienced in delivering end-to-end AI systems from prototyping to scalable deployment.
The Team Will Include

• A Senior Lead responsible for architecture, technical direction, and stakeholder engagement
• Mid-Level Engineers focused on hands-on development and implementation
  

You will work in a fast-paced, cross-functional environment, collaborating with business stakeholders, product teams, and engineering groups to deliver scalable AI solutions.
Key Responsibilities
AI Solution Development

• Design and implement LLM-powered applications such as:
• Retrieval-Augmented Generation (RAG) pipelines
• AI agents and multi-agent systems
• Chatbots and generative AI integrations
• Integrate with commercial and open-source LLMs (OpenAI, Anthropic, Llama, Mistral)
  

ML Engineering Pipelines

• Build and optimize ML/data pipelines for:
• Training, fine-tuning, and evaluation
• Embeddings and vector search workflows
• Develop scalable and reusable AI/ML components
  

Infrastructure MLOps

• Architect and manage production-grade AI infrastructure
• Implement:
• Containerization (Docker, Kubernetes)
• CI/CD pipelines for ML workflows
• Model monitoring, logging, and scaling strategies
  

Stakeholder Collaboration

• Engage with business stakeholders to:
• Understand requirements
• Identify AI use cases
• Translate ambiguous needs into technical solutions
• Collaborate with cross-functional teams to align AI solutions with business goals
  

Best Practices Documentation

• Establish standards for:
• Prompt engineering
• Model evaluation
• Responsible AI practices
• Document system architecture, workflows, and operational runbooks
  

Required Qualifications
Senior Lead (7+ Years Experience)

• Proven experience delivering enterprise-scale AI/ML systems in production
• Strong expertise in:
• Python, PyTorch/TensorFlow
• Modern ML/AI frameworks and ecosystems
• Hands-on experience with cloud platforms (AWS, GCP, or Azure)
• Deep knowledge of:
• Kubernetes, Docker, and container orchestration
• MLOps and scalable ML infrastructure
• Expertise in LLM application patterns :
• RAG, embeddings, vector databases, function calling
• Strong leadership and communication skills:
• Ability to lead architecture decisions
• Mentor engineers
• Drive stakeholder discussions and discovery sessions
  

Mid-Level Engineers (37 Years Experience)

• Hands-on experience building ML models and data pipelines
• Proficiency in:

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired
• Python
• At least one deep learning framework (PyTorch preferred)
• Working knowledge of:
• Cloud platforms (AWS/GCP/Azure)
• Docker and Kubernetes
• Familiarity with:
• LLM APIs and prompt engineering
• RAG and vector database concepts
• Ability to:
• Work independently
• Translate requirements into high-quality implementations
  

Nice to Have

• Experience with MLOps tools (MLflow, Weights Biases, SageMaker, Vertex AI)
• Background in:
• NLP, computer vision, or time-series forecasting
• Experience with:
• Multi-agent AI systems or orchestration frameworks
• Vector databases (Pinecone, Weaviate, pgvector)
• Contributions to open-source AI/ML projects
• Familiarity with geospatial or remote sensing data
  

Core Tech Stack

• Languages Python (primary), JavaScript/TypeScript
• ML/AI PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex
• LLM APIs OpenAI, Anthropic, Llama, Mistral
• Cloud AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (OpenAI Service)
• Infrastructure Docker, Kubernetes, Terraform, CI/CD
• Data PostgreSQL, Redis, Vector DBs (Pinecone, Weaviate, pgvector)
  

Why Join

• Work on cutting-edge Generative AI and LLM applications
• Build end-to-end production AI systems
• Collaborate with experienced professionals in a high-impact, fast-paced environment
• Flexible, fully remote engagement
  

This job is provided by Shine.com