1,995,566open jobs
118,761companies
248,458added this week
Browse all
Salary
≈ $156k – $346k per year (Estimated)
Location
In office (San Francisco)

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 26, 2026. Rockstar scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Rockstar is a recruiting company that combines human recruiters with AI tools to fill roles for its clients at lower cost than traditional agencies. It sources candidates and runs personalised multi-step outreach sequences sent under its own name or on behalf of the client team, recruiting engineers, account executives, business development and sales leaders. The company is headquartered in San Francisco, California, United States.

Rockstar is recruiting for a market infrastructure company that accelerates the commercialization of clean energy and industrial technologies. The client helps scale solutions in clean firm power, fuels, industrial heat, cement, and steel, sectors responsible for over one-third of global emissions. They are building an AI-native platform that connects energy suppliers with hyperscalers and data center developers, automating site screening and diligence to help both sides move from evaluation to signed agreements faster. Backed by leading climate investors and advised by individuals from the DOE and leading energy infrastructure investment firms, the client has already closed deals and facilitated connections between leading data center developers and clean energy projects.

Why Join Now

  • High-ceiling climate impact: Industrial decarbonization is responsible for over one-third of global emissions, and energy systems are the shared constraint underneath it. The client is going after the intersection: powering industry and data centers with clean, reliable electricity.
  • True founding ownership: This is a founding engineering role with high leverage. The candidate will shape what the client builds and how they build it.
  • Work on the real constraint: Power is the binding constraint for data centers today. The candidate will build the tooling that turns messy infrastructure reality into decision-grade diligence.
  • Meaningful upside: Get meaningful equity and compensation that scales with funding and traction.
  • World-class backers and community: The client is backed by leading climate investors and advised by individuals from the DOE and leading energy infrastructure investment firms.
  • Strong early traction: The client has closed deals and facilitated connections between leading data center developers and clean energy projects.

About the Role

The client is hiring a founding AI engineer to build the core intelligence layer of their product.

This is a true founding role: the candidate will take high ownership and exercise real technical leadership. They will shape the client’s technical direction, set the standards for how they build, and help lay the foundations for a world-class engineering organization.

The candidate will work directly with the founder to automate structured contracting, extract insights from messy data and compliance documents, and support smarter purchasing decisions.

The client is seeking strong GenAI/agent systems experience (LLM orchestration, retrieval, tool use) and solid backend skills (Python/TypeScript, APIs, data pipelines, security). The candidate will translate energy procurement workflows into usable software, prototype quickly, and ship to production.

The candidate works autonomously, prioritizes ruthlessly, sets clear milestones, and brings a calm, analytical, low-ego presence. Ready for co-founder-level responsibility and startup volatility.

What You’ll Do

  • Own technical strategy and execution: Set architecture and technical plan (data model, AI systems, infra, security), write production code, and set the quality bar (tests, reviews, observability).
  • Build AI agents: Design and ship agentic workflows that enable top datacenter developers to contract, diligence, and close 10 GW sites and $500 million contracts faster than ever before.
  • Build software features end-to-end: Turn procurement and project finance workflows into usable product; be forward-deployed with users and iterate in real time.
  • Build data engineering + geospatial pipelines: Ingest and enrich datasets (EPA GHGRP, EIA, NREL, parcels, utility filings) capturing grid access, substations, transmission, and land availability.
  • Drive PMF through engineering: Work closely with the founder to find PMF through user conversations and rapid iteration.

Who You Are

  • The candidate is familiar with AI engineering, agents, harnesses, vector DBs, and orchestration frameworks including LangChain or LlamaIndex
  • The candidate cares about usability and building things that matter
  • The candidate has strong engineering skills and can take projects end-to-end, making good technical tradeoffs throughout
  • The candidate has shipped products to real users and has experience working directly with customers to translate workflows into product
  • The candidate is adaptable and embraces ambiguity, pivoting as needed
  • The candidate has experience setting direction, and providing leadership and mentorship as the team grows

Bonus Points

  • Power markets knowledge
  • AWS/GCP experience
  • Unit-economics modeling
  • Experience with contracts, procurement systems, or trading
  • Enjoys team hikes and bike rides

What the Client Is Looking For

The client is looking for someone who is deeply motivated by climate impact and energized by the challenge of building from zero to one. The candidate might be a fit if they are:

  • Wildly driven and curious, and excited to throw themselves into the fire of an early-stage startup
  • The kind of person who keeps building and learning outside of work because they genuinely cannot help it
  • Someone with deep, niche intellectual obsessions who loves going down rabbit holes until they understand the thing better than almost anyone else

Values

The candidate will thrive at the client if they:

  • Exhibit high agency and take ownership end-to-end
  • Are highly collaborative and bring a low-ego, team-first approach
  • Bring compassion and deep care for the people they work with, and help create a supportive, high-trust community
  • Have real comfort with ambiguity, and can create structure where none exists
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,995,566 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
San Francisco
$184k – $288k per year • In office • Full-Time • 8+ years exp • PhD • Santa Clara
Python
AI/ML
CUDA
NCCL
DevOps
Linux
Apply
$242k – $364k per year • Equity • In office • Full-Time • 15+ years exp • Bachelor's Degree • Pleasanton
AI/ML
LangGraph
LangChain
Model Context Protocol
AI Agents
RAG
A2A
EU AI Act
Machine Learning
DevOps
GCP
AWS
Kubernetes
Apply
≈ $155k – $299k per year (Estimated) • In office • 8+ years exp • San Francisco
Apply
≈ $140k – $270k per year (Estimated) • In office • Full-Time • New York
Python
C#
Python
FastAPI
C#
.NET
Databases
PostgreSQL
AI/ML
Model Context Protocol
Embeddings
AI Agents
AWS Bedrock
RAG
Amazon SageMaker
DevOps
Rest API
Splunk
Terraform
Ansible
OpenShift
Helm
Azure DevOps
GitHub Actions
Prometheus
Azure
CI/CD
ArgoCD
Jenkins
AWS
Docker
Kubernetes
Grafana
SRE
Platform Engineering
Concourse
Octopus Deploy
Amazon EKS
Azure AKS
AWS Lambda
IAM
Amazon ECS
Linux
Cybersecurity
SonarQube
Apply
≈ $133k – $257k per year (Estimated) • In office • Full-Time • 10+ years exp • Charlotte
Java
AI/ML
Copilot
Prompt Engineering
AI Agents
LLM
Copilot Studio
DevOps
CI/CD
Kubernetes
Platform Engineering
Cybersecurity
OWASP
Management
Agile
Apply
$250k – $405k per year • In office • Full-Time • San Francisco
Python
Rust
TypeScript
AI/ML
Reinforcement Learning
Multimodal AI
AI Agents
Perplexity
QA
Playwright
Apply
≈ $153k – $296k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • San Francisco
Python
Go
JavaScript
Rust
TypeScript
Frontend
Turborepo
DevOps
GitHub Actions
CircleCI
CI/CD
Buildkite
Bazel
Cybersecurity
SLSA
Sigstore
Apply
≈ $123k – $246k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • San Francisco
DevOps
GCP
Apply
$101k – $115k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • McLean • San Francisco • Richmond • Chicago • New York
SQL
AI/ML
Machine Learning
Apply
Founding Engineer 1 day ago
≈ $120k – $258k per year (Estimated) • Remote (United States) • San Francisco • New York
Go
JavaScript
Node JS
Databases
PostgreSQL
Frontend
React.js
DevOps
AWS
Amazon EC2
GitHub
Amazon S3
Amazon ECS
Web3
Ethers.js
Ethereum
DeFi
Apply
See all jobs
This is one of many
1,995,566 more open roles from verified company boards, updated every day.