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AI Engineer

Role overview

Qualifications

  • Proven experience delivering GenAI / LLM-powered applications in production
  • Strong Python engineering (APIs, services, clean modular code)
  • Experience integrating LLMs into real systems (not just prototypes or notebooks)
  • Solid understanding of: prompt design and iteration, LLM limitations, structured input/output handling

Responsibilities

  • Building and iterating LLM-powered application features
  • Integrating LLMs into backend services and business workflows
  • Translating structured enterprise data into usable LLM context
  • Deploying and testing AI features within Foundry / AIP environments

Key facts

Hard skills

About the company

Hiredge Solutions logo

Hiredge Solutions

Job Boards & Talent Marketplaces

Our mission is to revolutionise the freelance industry by providing a talent platform that leverages AI technology to facilitate seamless and efficient connections between highly skilled / expert professionals and businesses in the ICT. We aim to empower client busiennses by matching them with the right talent for their project-based business needs, enabling them to thrive in a rapidly evolving market; pushing the boundaries of conventional staffing firm and delivering unparalleled value to both businesses and freelancers in the industry

Company details

Company typeStartup
IndustryJob Boards & Talent Marketplaces
Company size2 - 10

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Job description

AI Engineer — GenAI / LLM Applications

We are engaging a Senior AI Engineer to build and scale GenAI-powered features as part of a data & AI delivery programme for a global, strategy-led technology consultancy.

This is a production-focused engineering role, working at the intersection of LLM integration, Python services, and enterprise data platforms, with Palantir Foundry as the core environment

What you'll be doing

    • Building and iterating LLM-powered application features (e.g. copilots, summarisation, workflow augmentation)
    • Integrating LLMs into backend services and business workflows (API-driven)
    • Translating structured enterprise data into usable LLM context
    • Deploying and testing AI features within Foundry / AIP environments
    • Working closely with data engineers to ensure data is fit for AI consumption
    • Monitoring and improving output quality, reliability, and performance

What we're looking for

Must-have

  • Proven experience delivering GenAI / LLM-powered applications in production
  • Strong Python engineering (APIs, services, clean modular code)
  • Experience integrating LLMs into real systems (not just prototypes or notebooks)
  • Solid understanding of:
    • prompt design and iteration
    • LLM limitations (hallucination, context handling)
    • structured input/output handling

Nice-to-have 

  • Exposure to frameworks like LangChain or similar orchestration tools
  • Experience working with enterprise data platforms such as Palantir Foundry or Databricks
  • Familiarity with RAG patterns (even if not building full custom pipelines)
  • Experience with observability / tracing of LLM interaction

If you are experienced in turning LLM capability into reliable product feature - not just experiments, we want to hear from you.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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