Sr. Software Engineer - AI/ML - AI Platform
Builds and productionizes AI platform components including LLMs, agentic frameworks, and core agent capabilities. Requires 3-6+ years backend experience with Python, Golang, AWS, Kubernetes, and AI-native product shipping.
About the job
What You’ll Do
- Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity.
- Architect, build, and productionize core components of our AI platform – including:
- LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.)
- Agentic frameworks
- Core agent capabilities like MCP/ cross-platform tool use, web browsing, computer use
- Enforce technical discipline and operational excellence for all of our AI products.
- Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement.
- Lead the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry.
- Partner with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly.
Who You Are
- 3-6+ years of professional experience in backend software engineering, with expertise in programming languages/technologies like Python, Golang, gRPC, AWS, and Kubernetes.
- Proven track record of owning and shipping complex, production-grade systems.
- Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI.
- Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team.
- A strong bias for action, with a passion for shipping rapidly and iterating with feedback.
- BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience.
Bonus Points (Preferred Qualifications)
- Specific experience with LLMs and agentic systems.
- Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow.
- Advanced understanding of the probabilistic systems underpinning modern LLMs.
- Experience building AI products in highly accuracy-sensitive domains such as finance is a plus.
Skills
Python, Go, gRPC, AWS, Kubernetes, LLMs, LangChain, Databricks, MLflow, Agentic Frameworks
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