AI Engineer | EMEA/LATAM

Starbridge Systems, Inc.

Job Overview

Location

Europe/LATAM

Job Type

Full-time

Full Job Description

📋 Description

• Build and deploy LLM-driven features that enable organizations to access, understand, and act on complex public data through AI-powered search and proposal writing experiences.
• Collaborate with engineering and product teams to design, evaluate, and productionize generative AI capabilities using models from OpenAI, Anthropic, Gemini, and Parallel.ai.
• Evaluate and monitor the performance of AI models through rigorous testing, experimentation, and metrics-driven validation to ensure reliability and high performance in production.
• Implement and maintain strong CI/CD practices specifically tailored for AI system development to enable confident, rapid iteration and deployment.
• Design and scale distributed machine learning systems that support large-scale generative AI applications with low latency and high availability.
• Apply machine learning algorithms and model development techniques to solve real-world product challenges involving natural language understanding and generation.
• Utilize ML lifecycle tools including MLflow, DVC, and Weights & Biases to track experiments, manage model versions, and ensure reproducibility across development stages.
• Deploy and optimize ML systems on cloud infrastructure with a focus on scalability, cost-efficiency, and operational stability.
• Stay current with advancements in AI and machine learning research, and proactively propose and implement improvements to enhance the platform’s generative AI capabilities.
• Translate product requirements into technical strategies for applying LLMs, balancing innovation with practical constraints and user needs.
• Communicate complex technical concepts clearly to cross-functional teams including product managers, designers, and non-technical stakeholders.
• Contribute to the development of scalable applications using LLM frameworks such as LangGraph, LiteLLM, Agent Client Protocol, and Koog.
• Implement and refine Retrieval-Augmented Generation (RAG) systems to improve accuracy, relevance, and contextual grounding of AI responses.
• Work in a fast-paced startup environment with high engineering impact, where decisions are made quickly and outcomes are directly tied to product success.
• Participate in regular offsites in NYC and global locations as part of a culture that values camaraderie, momentum, and hands-on problem solving.
• Operate with a customer-centric mindset, prioritizing solutions that help users win by making complex data actionable through intuitive AI interfaces.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
• 5+ years of professional experience in software engineering and AI/ML development
• Proficiency with Python and production-grade software engineering practices
• Experience with LLMs and large-scale generative AI models in production environments
• Familiarity with ML lifecycle tools: MLflow, DVC, Weights & Biases
• Strong track record of building scalable, distributed machine learning systems

🏖️ Benefits

• Competitive salary + early-stage equity
• Unlimited PTO
• Regular offsites in NYC and global locations
• Fast-paced startup environment with high engineering impact

Skills & Technologies

Python

Kotlin

Data Science

Onsite

Degree Required

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Starbridge Systems, Inc.

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About Starbridge Systems, Inc.

Starbridge Systems, Inc. designs and builds reconfigurable supercomputing platforms using field-programmable gate arrays. The company’s Viva silicon-to-software environment enables engineers to create adaptive processors that accelerate AI, signal processing and modeling workloads for aerospace, defense and research customers. Headquartered in Sandy, Utah, Starbridge partners with government agencies and commercial integrators to deliver systems that can be reconfigured in real time, reducing power consumption and speeding algorithm deployment compared with traditional fixed-architecture supercomputers.

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