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Sr. Software Engineer - AI/ML - AI Platform

Addepar
Bogota, USA
Full-time
Mid-Senior
Onsite
USD 188000-235000 yearly
Discovered 1 months ago
PythonGolanggRPCAWSKubernetesBackend software engineering

Full Job Posting

The Role

Join the AI Platform team to build innovative AI solutions for wealth technology products.

Own end-to-end delivery of AI-native products and harden AI systems into robust, scalable, high-performance production systems.

What You’ll Do

  • Drive AI-native product execution from prototype to scalable production services.
  • Architect and productionize AI platform components including LLM ecosystems, vector databases, prompt tuning, and agentic frameworks.
  • Build core agent capabilities including MCP, cross-platform tool use, web browsing, and computer use.
  • Enforce technical discipline and operational excellence for AI products.
  • Iterate products using performance metrics and user feedback.
  • Evaluate and adopt new AI technologies and frameworks.
  • Partner with product managers and engineering teams to make AI capabilities easier to use.

Who You Are

  • Have 3–6+ years of backend software engineering experience.
  • Bring expertise in Python, Golang, gRPC, AWS, and Kubernetes.
  • Have a record of owning and shipping complex production-grade systems.
  • Have shipped and maintained AI-native products or features, or completed significant AI personal projects.
  • Hold a quantitative bachelor's or master's degree, or have equivalent experience.
  • Must be authorized to work in the United States without current or future visa sponsorship.

Preferred Qualifications

  • Experience with LLMs and agentic systems is preferred.
  • Experience with Databricks, LangChain, or MLflow is preferred.
  • Advanced understanding of probabilistic systems behind modern LLMs is preferred.
  • Experience building AI products in accuracy-sensitive domains such as finance is a plus.

Compensation

  • Base salary range is $188,000–$235,000 USD per year.
  • Compensation includes base salary, bonus, equity, and benefits.
  • Starting pay is determined by job-related skills, experience, qualifications, work location, and market conditions.

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