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Job Description

The Role

We are helping to hire a Senior Software Engineer to strengthen the core foundation of our agentic data analytics platform, ensuring reliability, scalability, and performance as we move from MVP to enterprise scale.

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- 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

The Stack

Go (Railway)

Postgres

Terraform (Infrastructure as Code)

What We Are Looking For

3+ years of Go experience

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- approach using tools like Cursor or Claude Code to move faster

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.