LLM Engineer - Freelancer

Reposted One Month Ago
Be an Early Applicant
5 Locations
In-Office or Remote
Mid level
eCommerce • Fintech • Software • Financial Services • PropTech
The Role
Freelance LLM Engineer to integrate LLM-powered features (chat, summaries, classification, document Q&A) into existing Python, Node.js, or Ruby codebases. Build RAG pipelines, manage embeddings and vector search, work with vector DBs (pgvector, Pinecone, Qdrant), implement reliable LLM endpoints, and advise clients on trade-offs around latency, cost, and accuracy.
Summary Generated by Built In

We're building a network of LLM Engineers who can design, build, and integrate practical AI features into existing products. We're looking for people to collaborate with on a freelance basis - part-time or full-time, depending on project needs.

This role is focused on delivery, not ML research. What matters most is your engineering foundation and your ability to integrate AI into real production systems using Python, Node.js, or Ruby codebases.


RequirementsWhat we’re looking for
  • Strong software engineering background - Python, Node.js, or Ruby
  • Hands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar)
  • Ability to design pragmatic AI solutions within existing architectures
  • Experience building RAG pipelines, embeddings, and vector search
  • Understanding of cost, latency, and reliability constraints of AI systems
  • Ability to work independently with clients and set realistic expectations
  • Background in big data or data pipelines is a big plus
  • English B2/C1
  • Availability part-time or full-time (B2B contract)
What you'll do
  • Add AI functionality into existing Python, Node.js, and Ruby codebases
  • Build LLM-powered features: chat, summaries, classification, smart search, document Q&A
  • Design lightweight RAG pipelines using embeddings and vector search
  • Work with vector DBs (pgvector, Pinecone, Qdrant)
  • Implement safe, reliable LLM endpoints (OpenAI, Anthropic, Azure)
  • Work directly with clients to shape AI features and reduce manual effort
  • Advise clients when NOT to use AI and navigate trade-offs around latency, accuracy, and cost
What do we mean by freelance?
  • Read more at Monterail Tech Network

Skills Required

  • Strong software engineering background with Python, Node.js, or Ruby
  • Hands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar)
  • Ability to design pragmatic AI solutions within existing architectures
  • Experience building RAG pipelines, embeddings, and vector search
  • Experience with vector databases (pgvector, Pinecone, Qdrant)
  • Understanding of cost, latency, and reliability constraints for AI systems
  • Ability to work independently with clients and set realistic expectations
  • Background in big data or data pipelines
  • English language proficiency (B2/C1)
  • Availability for part-time or full-time engagement on a B2B contract
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The Company
HQ: Wrocław
104 Employees
Year Founded: 2010

What We Do

Monterail is a full-service software development company with 130+ experts on board delivering meaningful software for the fintech, proptech, wellness, and eCommerce sectors. For over 13 years now, we use Ruby on Rails and Flutter to build beautiful web and mobile applications. We have delivered 390+ successful projects for over 235 clients from different parts of the world. In 2016 & 2017 we were recognized by Deloitte as one of the fastest-growing tech companies in Central Europe as well as listed in the Financial Times 1000 rank two times in a row, in 2018 and 2019.

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