Senior AI & Analytics Software Engineer (AI Background)

About the role

Infomineo is looking for a senior AI software engineer to design, develop, and deploy AI‑powered data products and analytical applications for internal teams and global clients. You will lead data‑science initiatives, define best practices for applied AI, and collaborate with engineering, product, and business stakeholders.

Key responsibilities

• Lead the design and productionisation of LLM, generative AI and Retrieval‑Augmented Generation (RAG) solutions, including document processing, vectorisation, semantic search and query optimisation.
• Develop full‑stack AI applications using Python, FastAPI and modern front‑end frameworks (React, Next.js or Vue) and expose them via secure REST APIs.
• Implement Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs and enterprise data sources.
• Build CI/CD pipelines (GitHub Actions) and apply MLOps/LLMOps practices for reliable cloud deployment on GCP (GKE, Artifact Registry) or other major clouds.

Required profile

• 4‑6 years of experience in data science, AI development or applied machine learning, delivering production‑grade AI products.
• Strong Python expertise and solid full‑stack development background (FastAPI, React/Next.js/Vue).
• Deep understanding of LLMs, RAG architectures, generative AI workflows and tools such as OpenAI, Gemini, LangChain.
• Hands‑on experience with Docker, container orchestration and cloud platforms (GCP, AWS or Azure).
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics or a related field.

Required skills

• Python
• FastAPI
• React, Next.js, Vue
• LangChain (or equivalent)
• LLM APIs (OpenAI, Gemini)
• Retrieval‑Augmented Generation (RAG)
• Model Context Protocol (MCP)
• Docker
• Google Cloud Platform (GKE, Artifact Registry)
• GitHub Actions, CI/CD
• MLOps / LLMOps
• Prompt engineering, embedding strategies, vector databases