Senior Software Engineer
Role Overview
As a Senior AI Engineer at Fluxon, you will lead the design, building, and deployment of AI-powered applications for clients, focusing on system architecture, generative AI development, and production engineering. You'll work in a product development team, collaborating with engineers and product managers to integrate AI endpoints and optimize models for performance and cost. This role involves high-impact responsibilities like implementing feedback loops and deploying scalable solutions on cloud platforms.
Perks & Benefits
This is a remote role based in Poland, with a preference for candidates in Krakow, Wroclaw, or Gdansk, offering flexibility in location. You'll join a team founded by ex-Googlers and startup founders, providing opportunities to work with tech leaders and fast-growing startups on transformative projects. Career growth is supported through exposure to cutting-edge AI technologies and collaboration in a dynamic, product-focused environment.
Full Job Description
Who we are We are Fluxon, a product development team founded by ex-Googlers and startup founders. We offer full-cycle software development: from ideation and design to build and go-to-market. We partner with visionary companies, ranging from fast-growing startups to tech leaders like Google and Stripe, to turn bold ideas into products with the power to transform the world. The role is open to candidates based in Poland preferably in Krakow, Wroclaw or Gdansk. About the role As an AI Engineer at Fluxon, you'll take the lead in designing, building and deploying AI-powered applications for our clients. You'll be responsible for:
System Architecture: Design and implement end-to-end AI systems and their parts, including data ingestion, preprocessing, model inference, and output structuring Generative AI Development: Build and optimize RAG (Retrieval-Augmented Generation) systems and Agentic workflows using frameworks like LangChain, LangGraph, ADK (Agent Development Kit), Genkit Production Engineering: Deploy models to production environments (AWS/GCP/Azure) using Docker and Kubernetes, ensuring high availability and scalability Evaluation & Monitoring: Implement feedback loops to evaluate model performance (accuracy, hallucinations, relevance) and set up monitoring for drift in production Collaboration: Work closely with other engineers to integrate AI endpoints into the core product and with product managers to define AI capabilities Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) for specific domain tasks and optimize them for latency and cost
You'll work with technologies including: Languages
Python (Preferred) Java / C++ / Scala / R / JavaScript
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