Senior AI Engineer (LLM)

ProxifyProxify·Remote(Time zone: CET (+/- 3 hours))
AI & Machine Learning

WFA Digital Insight

As demand for AI specialists continues to surge, companies like Proxify are seeking experts who can harness the power of Large Language Models. With a 25% growth in remote AI jobs last year, candidates with strong Python skills and experience in cloud environments are in high demand. Proxify stands out for its global network of supportive developers and commitment to success, making this role an attractive opportunity for those looking to advance their careers in AI.

Job Description

About the Role

Proxify is looking for a Senior AI Engineer to lead the development and scaling of LLM-powered solutions. The ideal candidate will have a strong foundation in Python and expertise in the generative AI lifecycle.

Responsibilities

  • Architect and implement complex AI workflows using frameworks like LangChain, LlamaIndex, or Haystack
  • Design and optimize Retrieval-Augmented Generation (RAG) pipelines, including vector database management and advanced indexing strategies
  • Evaluate and implement strategies for model selection based on latency, cost, and performance requirements
  • Develop high-performance Python backends

Requirements

  • Expert-level Python skills with a deep understanding of asynchronous programming and backend architecture
  • Proven experience building and deploying production-level applications using Large Language Models (LLMs)
  • Strong experience with SQL and NoSQL databases, specifically optimized for high-dimensional vector search
  • Familiarity with deploying AI models in cloud environments (AWS, GCP, or Azure) and managing CI/CD for AI services

How to Stand Out

  • To stand out, highlight your experience with fine-tuning open-source models using techniques like LoRA or QLoRA in your portfolio.
  • Showcase your understanding of agentic frameworks and autonomous AI agents.
  • Be prepared to discuss your approach to solving the unique challenges of non-deterministic AI outputs during the interview.
  • Emphasize your ability to work independently in a remote setting and manage your time effectively.
  • When negotiating salary, consider the cost of living in your location and the company's budget for remote employees.

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