AI/ML developer

Proxima Research

Location
Remote
Employment
Full-time
Level
Specialist
Category
Data Science & ML
Posted

Description

Tech Stack:

  • Python (5+ years)
  • Strong working knowledge of SQL for data extraction and analysis (3+ years preferred)
  • API integration with LLMs: OpenAI, Azure OpenAI, Claude
  • ML/LLM architectures: RAG, embeddings, retrievers
  • DevOps/MLOps: Docker, deployment of models on dedicated servers or cloud infrastructure
  • Nice to have: FastAPI, vector databases (FAISS, Weaviate), prompt engineering
  • Tools under consideration: LangChain or similar frameworks for rapid prototyping of LLM-based pipelines

Responsibilities:

  • Design and build a production-grade LLM+RAG system for contextual data analysis
  • Integrate external data sources and tools into the assistant’s knowledge base
  • Set up and fine-tune LLMs on dedicated infrastructure or in the cloud
  • Develop complex multi-step agents and orchestrated pipelines
  • Build integrations with different platforms via API
  • Ensure performance, scalability, and CI/CD automation of the ML systems

Requirements:

  • Proven experience building real-world AI/ML products
  • Deep understanding of the full machine learning lifecycle
  • Experience working with popular LLM APIs and frameworks
  • Ability to work independently and propose technical solutions
  • Hands-on experience with LLM+RAG design patterns and prompt engineering

We Offer:

A fully remote role with flexible engagement (full-time or contract) – you can also choose to work in the office or in a hybrid format if you prefer

An opportunity to influence and shape the architecture and overall direction of the AI product

Work at a large product company with a wide range of in-house developed solutions, many of which have been leading the market for over 15 years

Access to diverse internal projects, enabling you to develop various skill sets and show your potential in different areas

A competitive compensation package that reflects your experience and skills, with opportunities for review based on performance

Apply at the source

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