AI Data Solution Engineer

Overview

AI Data Solution Engineer Consultant role to architect and implement AI-powered data pipelines and workflows, turning complex data into production-ready outputs for clients.

What you'll do

• Design and implement AI-powered data pipelines to extract, clean, enrich, and transform data.
• Orchestrate LLMs to automate data manipulation, validation, and cross-referencing.
• Deliver customer-ready outputs in Excel, PDF, Word, and other business formats.
• Prototype emerging AI tools and translate proofs of concept into scalable solutions.
• Build and integrate full-stack applications connecting AI back-ends to web interfaces.
• Design and optimize relational and vector databases to support AI workflows at scale.
• Contribute to best practices for code quality, documentation, and maintainable system design.

What you'll need

• Have 4-6 years of relevant experience in an AI data engineering and/or EHS-related field.
• Hold a university degree in an environmental or technical field.
• Have hands-on experience working with large language models (OpenAI, Anthropic, Mistral, or open-source equivalents).
• Have deep understanding of embeddings, vector search, semantic similarity, and RAG architectures.
• Be proficient in Python, including async patterns, pandas/polars, and AI SDKs.
• Have experience implementing AI workflows using LangChain or LlamaIndex (or similar orchestration frameworks).
• Have strong skills in SQL, relational data modeling, and performance optimization.

Details

• Location listed as New Delhi, India.