AI Engineer | EMEA/LATAM

Visa Hunt; Argentina; Presencial; ARS 181.190.000 - 211.388.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity in early stage

Unlimited PTO

Offsites (Global)

Competitive compensation

Descripción de la vacante

Starbridge is seeking an AI Engineer to build and scale AI-powered features, including deep document analysis and interactive chat experiences. You’ll work with OpenAI, Anthropic, and Gemini models, shaping how generative AI is leveraged across our platform.

You will collaborate with engineering and product teams to design new AI capabilities, emphasizing reliable, high-performing systems and production readiness in a fast-growing startup environment.

Formación

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience.
• Experience in startup or small company with engineering impact.
• 5+ years of professional software engineering and AI/ML development, including production software (Python) and systems design.

Responsabilidades

• Collaborate to productize new AI-powered capabilities (e.g., AI proposal writing & search experiences).
• Evaluate and monitor AI models and systems with rigorous testing and experimentation.
• Stay updated with AI/ML advancements and propose improvements to generative AI capabilities.
• Implement strong testing and CI/CD practices for reliable AI system development.

Conocimientos

Python

Systems design

ML algorithms

MLflow

DVC

Weights & Biases

Cloud deployment

LLMs

Distributed systems

Product thinking

Communication

Educación

Bachelor's degree in CS/Engineering/Math

Herramientas

MLflow

DVC

Weights & Biases

LangGraph

LiteLLM

Agent Client Protocol

Kotlin

Descripción del empleo

About Starbridge

Starbridge helps go-to-market teams win in the public sector. Government buyers signal their priorities constantly, in council meetings, budget documents, RFPs, and public records, but that intelligence is scattered across thousands of sources and impossible to track by hand. Our platform surfaces those signals, connects them to the right buyers, and turns them into pipeline.

We move fast, stay close to our customers, and are building the category. This is a chance to join early and shape how we scale.

About the role

We’re looking for an AI Engineer to help us build and scale the next generation of AI-powered systems at Starbridge. You’ll work on projects that sit at the core of our product—building, evaluating, and deploying LLM-driven features that make it easier for organizations to access, understand, and act on complex public data.

You’ll collaborate closely with our engineering and product teams to design new AI capabilities, such as deep document analysis and interactive chat experiences. This role combines hands‑on software engineering, applied machine learning, and product experimentation, with the goal of delivering reliable, high‑performi​ng AI systems to production.

You’ll have the opportunity to work with models from OpenAI, Anthropic, and Gemini, contribute to our AI infrastructure, and play a key role in shaping how we leverage generative AI across our platform.

Your responsibilities

• Collaborate closely with our team as we productize new AI-powered capabilities: such as AI proposal writing & search experiences.

• Evaluate and monitor the performance of AI models (we will work with models from OpenAI, Anthropic, Gemini, Parallel.ai) & systems through rigorous testing and experimentation.

• Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.

• Implement strong testing and CI/CD practices that help us move with confidence in our AI system development

Is this you?

• Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience

• Have experience working in a startup or a smaller company with real engineering impact.

• 5+ years of professional experience in software engineering, AI/ML development including:

  • Proficiency with production software (Python) and systems design

  • Machine learning algorithms and model development techniques

  • ML lifecycle tools like MLflow, dvc, weights & biases

  • Cloud deployment of ML systems

  • Professional experience with LLMs and large‑scale models

• Very strong software engineering skills with a track record of building scalable, distributed product machine learning systems

• Product thinking: ability to take product requirements and strategize how to apply LLMs

• Ability to communicate complex ideas and concepts effectively

Bonus if you have:

• Experience building scalable applications with LLMs, using frameworks such as LangGraph, LiteLLM, Agent Client Protocol, and Koog

• Depth of knowledge with RAG implementation and improvements

• Proficiency with Kotlin

Interview Process

We move fast — really fast. Getting back to someone today beats tomorrow, and our interview process reflects that mindset. Please keep us posted on your timeline so we can move quickly and speed things up where needed. All interviews are conducted via Google Meet.

How We Work

• Build Bridges to Help Customers Win - We pride ourselves on being obsessively customer‑centric.

• Shooting Star Speed - We move with extreme speed. We value momentum, decisiveness, and the ability to accelerate when it matters.

• Fun Is a Feature - Fun is a Feature means we intentionally design Starbridge to be an energizing place to do hard work. Joy, humor, and camaraderie…

• In the Arena - We believe the best ideas …

Benefits include:

• Competitive salary + early‑stage equity

• Unlimited PTO

• Regular offsites (NYC + global locations)

Compensation Range: $120K - $140K