AI Data Solution Engineer

27 days ago

Nairobi, KenyaMid Level / Senior

Responsibilities

Design and implement AI-powered data pipelines for structured and unstructured data.
Orchestrate LLMs to automate data manipulation, validation, and cross-referencing.
Build scalable AI workflows combining LLMs, automation, and modern data engineering practices.
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.

University degree in an environmental or technical field such as Environmental Sciences, Information Technology, Computer Science, Engineering, Management Information Systems, or Theoretical Business.
4–6 years of relevant experience in AI data engineering and/or an EHS-related field.
Hands-on experience with large language models including OpenAI, Anthropic, Mistral, or open-source equivalents.
Strong understanding of embeddings, vector search, semantic similarity, and RAG architectures.
Strong Python skills, including asynchronous patterns, pandas, polars, and AI SDKs.
Experience implementing AI workflows with LangChain, LlamaIndex, or similar orchestration frameworks.
Solid SQL, relational data modeling, and performance-optimization skills.
Experience generating and manipulating Excel, PDF, and Word documents programmatically.
Experience building APIs with FastAPI, .NET, or Node.js and integrating them into production systems.
Preferred experience with Vue 3 Composition API and TypeScript.
Preferred experience with vector databases, AI-oriented data-storage patterns, containerization, cloud platforms, or serverless architectures.
Preferred background in NLP, document intelligence, or data-enrichment pipelines.
Preferred exposure to monorepo or large-scale project tooling such as Turborepo or Nx.
EHS software, methodologies, domains, and technologies are advantageous but not required.

Flexible working environment.
Competitive salary; no specific amount stated.
The requisition is for future project requirements and talent-pipeline development rather than an active hiring opportunity.
Inclusive workplace with accommodations and support during the selection process and employment.

10,000+ employees