The Role We are helping to hire a Senior Software Engineer for an exciting AI startup.
This is a core platform role with real ownership. You will work on data integrations, platform execution, and the systems that power AI-driven analytics.
What You Will Be Doing
Building core data integrations with common SaaS platforms
Designing data pipelines that ingest provider APIs into our analytics datastore
Improving the agent platform and executor with better error handling, observability, and speed
Making LLM interactions more efficient through prompts, snippets, and tooling
Improving internal developer experience and platform tooling
Helping take an early MVP into a production-grade platform
Why Join
Early, high-impact role in an AI-native company
Direct influence on platform architecture and technical direction
Opportunity to work with an experienced founding team
Build technology that fundamentally changes how teams use data
What We Are Looking For
Strong experience building in Python
Deep understanding of design patterns and system architecture
Experience building scalable, performant platforms
Strong grasp of event-driven systems and concurrency
Solid database and API design experience, ideally with Postgres
Understanding of good security practices
Ability to clearly communicate technical trade-offs
Familiarity with the modern AI tooling landscape
Some cloud infrastructure experience including Terraform
Nice to Have
Zero-to-one product experience, including OSS or side projects
Data engineering experience such as pipelines and analytics
Experience integrating LLMs, including prompt design and understanding model capabilities
Deeper cloud experience, especially with GCP
Experience with Encore, though this is easy to pick up
Ways of Working
Ownership mindset with comfort taking ideas from rough outline to implementation
Execution first approach where speed matters, balanced with pragmatism
Iterative development focused on shipping, learning, and improving
First-principles thinking rather than cargo-cult engineering
Ego-less culture with direct, constructive feedback
Comfort working asynchronously and learning independently
AI-native approach using tools like Cursor or Claude Code to move faster
This is a core platform role with real ownership. You will work on data integrations, platform execution, and the systems that power AI-driven analytics.
What You Will Be Doing
Building core data integrations with common SaaS platforms
Designing data pipelines that ingest provider APIs into our analytics datastore
Improving the agent platform and executor with better error handling, observability, and speed
Making LLM interactions more efficient through prompts, snippets, and tooling
Improving internal developer experience and platform tooling
Helping take an early MVP into a production-grade platform
Why Join
Early, high-impact role in an AI-native company
Direct influence on platform architecture and technical direction
Opportunity to work with an experienced founding team
Build technology that fundamentally changes how teams use data
What We Are Looking For
Strong experience building in Python
Deep understanding of design patterns and system architecture
Experience building scalable, performant platforms
Strong grasp of event-driven systems and concurrency
Solid database and API design experience, ideally with Postgres
Understanding of good security practices
Ability to clearly communicate technical trade-offs
Familiarity with the modern AI tooling landscape
Some cloud infrastructure experience including Terraform
Nice to Have
Zero-to-one product experience, including OSS or side projects
Data engineering experience such as pipelines and analytics
Experience integrating LLMs, including prompt design and understanding model capabilities
Deeper cloud experience, especially with GCP
Experience with Encore, though this is easy to pick up
Ways of Working
Ownership mindset with comfort taking ideas from rough outline to implementation
Execution first approach where speed matters, balanced with pragmatism
Iterative development focused on shipping, learning, and improving
First-principles thinking rather than cargo-cult engineering
Ego-less culture with direct, constructive feedback
Comfort working asynchronously and learning independently
AI-native approach using tools like Cursor or Claude Code to move faster
