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: • 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

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