Overview

Applied AI Engineer – Developer Automation & Productivity. Company: Ledger Rocket. Location: Fully Remote (Global). Team: Platform / Developer Experience. Type: Contract (6-12 months initial term with potential for extension).

About The Role

Applied AI Engineer – Developer Automation & Productivity. Ledger Rocket is looking for its first engineer dedicated to applied AI for internal developer automation to prototype, productionize, and scale LLM-powered tools that eliminate friction from coding, testing, and deployment. Your mission is to make every engineer at Ledger Rocket measurably more efficient, week over week.

What You’ll Do

• Build AI-Driven Developer Tooling: Create intelligent code review and PR optimization bots that catch issues early and suggest improvements.
• Develop auto-documentation systems and context-aware knowledge assistants embedded in the development workflow.
• Design smart test-case generation, flake detection, and automated root-cause analysis tools.

• Optimize the Delivery Pipeline: Apply ML-based heuristics to tune CI/CD, caching strategies, and artifact storage—shaving critical minutes off every build.
• Identify and eliminate bottlenecks using predictive analytics and intelligent resource allocation.

• Integrate LLMs into Team Workflows: Surface deployment insights, incident summaries, and next best action recommendations directly in Slack.
• Optimize AI-assisted coding workflows—develop best practices, prompt engineering strategies, and efficient methodologies for engineers using Claude Code and other AI coding assistants.

• Measure and Demonstrate Impact: Define and track key metrics (lead time reduction, MTTR improvements, developer satisfaction scores).
• Build dashboards that clearly demonstrate ROI on automation initiatives.
• Run controlled experiments to validate improvements before full rollout.

• Collaborate Cross-Functionally: Partner with Platform, SRE, and Security teams to ensure solutions are compliant, observable, and cost-effective; champion best practices for AI integration with security and governance standards.

Core Requirements

• 4+ years of software engineering experience with proficiency in Go, Python, TypeScript.
• Hands-on expertise with modern LLM frameworks: OpenAI APIs, Anthropic, Hugging Face Transformers, LangChain, and vector databases.
• Solid DevOps fundamentals: Docker/Kubernetes, GitHub Actions, GitLab CI, or similar.
• Cloud platforms: AWS, GCP, or Azure with serverless and containerized deployments.
• Data-driven mindset: designing experiments, A/B tests, and analytics dashboards.
• Iterative builder: bias toward shipping small, testable increments and gathering rapid feedback.
• Excellent collaborator: enthusiastic about pair programming, workshops, and gathering input from diverse stakeholders.
• Availability: 40 hours/week with overlap during core hours (UTC to UTC+3).

Bonus Points For

• Experience building internal developer portals (Backstage, Cortex, Port, or similar).
• Track record of fine-tuning or distilling LLMs for code-specific tasks (IDE assistants, code completion).
• Familiarity with policy-as-code frameworks and secure software supply chain practices.
• Open-source contributions to developer tooling or automation projects.
• Experience scaling AI solutions from prototype to production in high-velocity environments.
• Previous fintech or financial services experience.

Contract Details

• Duration: 6-12 month initial engagement with potential for extension based on mutual fit.
• Commitment: Full-time contractor (40 hours/week).
• Rate: Competitive market rates based on experience and location.
• Work Style: Async-first with regular check-ins and collaborative sessions.
• Equipment: BYOD with potential stipend for AI compute resources.

What You’ll Get

• Greenfield ownership: Architect our AI-driven developer experience strategy from the ground up.
• High-impact work: Your solutions directly accelerate every engineer’s productivity—measurable impact from day one.
• Cutting-edge tech stack: Work with the latest LLM technologies and APIs.
• Direct collaboration: Work closely with founding team members from Revolut, JPMorgan, and HSBC.
• Future opportunity: Strong potential to convert to permanent role as we scale.

How To Apply

We'd love to hear from you! Please send us:

• Your resume/CV or LinkedIn profile
• Your hourly or daily rate expectations
• A brief case study (2-3 paragraphs) describing a developer productivity automation you've built or designed—open-source links welcome
• Your availability to start and any scheduling constraints
• Optional: Portfolio or GitHub showcasing relevant AI/automation work

We're committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experiences.

About Ledger Rocket

Ledger Rocket is building the next-gen core banking ledger—ultra-scalable, real-time, and designed for modern financial infrastructure. We're backed by top-tier VCs and led by a founding team with deep fintech and infrastructure DNA. We move fast. But we want to move faster.