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Senior GenAI Engineer

Look4IT

Role overview

Qualifications

  • Experience in building and operating backend services - APIs, async, testing
  • Hands-on experience taking LLM features to production and keeping them running - not only prototypes
  • Agent / orchestration frameworks - LangGraph ideally
  • Practical RAG experience

Responsibilities

  • Build LLM-powered features end to end.
  • Own answer quality.
  • Get the right context to the model.
  • Debug production.

Key facts

  • Remote from: Anywhere
  • Fixed term
  • Senior (5-10 years)
  • Field Engineer (Solutions)
  • English

Hard skills

Other skills

  • Mentorship
  • Problem Solving
  • Analytical Thinking
  • Decision Making
  • Communication
  • Collaboration

About the company

Look4IT logo

Look4IT

Staffing & Recruiting

🚀🔥 Looking for top-tier IT talent to fuel your company's growth? 🤝 Look no further than Look4IT, top IT recruitment and executive search company. 💪💻 With over 11 years of experience, we have built a reputation for delivering exceptional value to our partners through our Extreme-Agile approach, Disruptive solutions, and Strong alignment. 🎯🌟 Find the perfect candidate in just a few days - not weeks! 🕑⚡ Let's build your dream tech team. 💥👨💻 🚀👥💡Our extensive DB boasts over 240,000 highly qualified IT professionals, and our strict recruitment process selects only the top candidates based on technical ability, soft skills, and cultural fit. Are you struggling to find top IT talent in a highly competitive market? 🕵️♂️ 🤔 ⚡Our in-house RecruiterTech solution is engineered to empower our recruiters to identify the best candidates. Team of highly skilled IT recruiters provides personalised services that cater to your unique IT requirements, ensuring that we connect best matching IT specialist to your projects - Right People, Right Moment. 🌎🌍🌏 We work with leading companies in the financial, IT, consulting, insurance, energy, and telecommunication industries from all around the world. At Look4IT, we are committed to understanding the needs of our clients and candidates, building engagement, and maintaining collaborative relationships💪🤝 We take initiative and drive innovation to stay at the forefront of IT recruitment, giving us a competitive advantage in speed, quality, and IT Talents network size. We understand that ⏰💰 time is money, and finding the right candidate for your company can be a time-consuming and costly process. Find the right candidate for you in a fraction of the time it would take for only in-house recruitment. By partnering with us, you can save both time and money while ensuring that you get the best IT talent for your team. Ready to build your dream tech team? ⏰ 🎯🚀🌟👥

Company details

Company typeSME
IndustryStaffing & Recruiting
Company size11 - 50

Links

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Job description

This is a remote position.

We are looking for a Senior AI Engineer to join a team building and operating a production-grade LLM system used by real users. This is not a proof-of-concept project.

You will be responsible for taking LLM-powered features from idea through development and deployment to continuous improvement, with a strong focus on answer quality, performance, observability and cost efficiency. You will work with modern LLM technologies, including LangGraph, RAG, tool calling, Azure OpenAI, Gemini and Claude, and have a real impact on how AI-powered products are built and operated in production.

Responsibilities:
  • Build LLM-powered features end to end. Design and implement agentic flows, retrieval, and tool calling using LangGraph - then ship them as FastAPI services with streaming, persistence and proper tests.
  • Own answer quality. Build evaluation datasets, regression suites and LLM-as-judge checks so we know whether a prompt or model change made things better before it reaches users.
  • Get the right context to the model. Turn user questions into effective queries against our search platform, orchestrate multi-step research loops, and shape the context the model reasons over. When an answer is wrong, work out whether retrieval, the query or the prompt is at fault - and fix the right one.
  • Debug production. Instrument flows with tracing (Langfuse), investigate bad answers from real traces, and manage latency, token and cost budgets - including routing across model sizes and families behind an AI gateway.

Requirements

  • Experience in building and operating backend services - APIs, async, testing
  • Hands-on experience taking LLM features to production and keeping them running - not only prototypes
  • Agent / orchestration frameworks - LangGraph ideally
  • Practical RAG experience
  • Experience debugging LLM systems in production - tracing, evaluation, cost and latency
  • Experience running services in the cloud (we're on Azure)
  • Strong problem-solving skills, analytical thinking, and technical decision-making
  • Fluent in English, proactive communicator, and a collaborative team player
  • Open-minded, creative, and motivated to push boundaries in AI and automation

Nice to have:
  • Azure OpenAI, AI Search, App Service
  • Infrastructure-as-code (Bicep)
  • Mentoring or tech-lead experience
  • Tech stack:
  • Python
  • FastAPI
  • LangGraph
  • Azure OpenAI, Google Gemini, Anthropic Claude
  • FAISS
  • PostgreSQL
  • Langfuse
  • Azure App Insights
  • Bicep
  • Docker/Podman

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MR

Marcus Rivera

Chief Revenue Officer

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