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:

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

Lead AI/ML Engineer Generative AI Platforms

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