AI Data Solution Engineer
Environmental Resources Management (ERM)27 days ago
New Delhi, IndiaMid Level / Senior
Responsibilities
- Design and implement AI-powered data pipelines for structured and unstructured data extraction, cleaning, enrichment, and transformation.
- Orchestrate LLMs to automate data manipulation, validation, and cross-referencing.
- Generate customer-ready Excel, PDF, Word, and other business-format outputs programmatically.
- Prototype emerging AI tools and convert proofs of concept into scalable production solutions.
- Build and integrate full-stack applications connecting AI backends with modern web interfaces.
- Design and optimize relational and vector databases for AI workflows at scale.
- Contribute to code quality, documentation, and maintainable system design practices.
Requirements
- University degree in environmental sciences, information technology, computer science, engineering, management information systems, theoretical business, or another stated environmental or technical field.
- 4–6 years of relevant experience in AI data engineering and/or an EHS-related field.
- Hands-on experience with large language models such as OpenAI, Anthropic, Mistral, or open-source equivalents.
- Strong understanding of embeddings, vector search, semantic similarity, and RAG architectures.
- Strong Python skills, including async patterns, pandas or polars, and AI SDKs.
- Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
- Strong SQL, relational data modeling, and performance optimization skills.
- Experience programmatically generating and manipulating Excel, PDF, and Word documents.
- Experience building production APIs with FastAPI, .NET, or Node.js.
- Preferred experience with Vue 3, Composition API, TypeScript, vector databases, containerization, cloud or serverless architectures, NLP, document intelligence, data enrichment pipelines, Turborepo, or Nx.
- Knowledge of EHS software, methodologies, and domains is advantageous but not required.
Benefits
- Flexible working environment and competitive salary.
- Opportunity to work on sustainability, environmental, health, safety, risk, and social-impact solutions with a global consultancy.
- The requisition is not an active hiring opportunity and is intended to gather resumes for future project requirements and build a talent pipeline.
Tech Stack
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