Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("In London, United Kingdom: Software Engineer"), this listing's salary midpoint is about 67% higher. The offer sits above the benchmark range (€5,788–€15,622). The listed pay band (€15,000–€20,833) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Software Engineer | €3,500/per month | €5,889/per month | €12,323/per month |
| In London, United Kingdom: Software Engineer | €5,788/per month | €11,040/per month | €15,622/per month |
The Training & Experimentation team at Lightning AI builds the platform that enables developers to experiment at scale and train their own intelligence. We're looking for a Senior Software Engineer to help design and scale the backend systems that make AI development faster, more reliable, and easier to use. You'll work across distributed training infrastructure, workload orchestration, experiment management, developer tooling, and platform APIs while partnering closely with our Managed Infrastructure, Core Platform, and Optimized Compute teams. This role is based in one of our San Francisco, NYC, or London office hubs, with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.
Job Details
Responsibilities
- Design and build backend services that power AI agent orchestration and execution.
- Develop scalable APIs and platform capabilities for tool use, workflow orchestration, memory, and state management.
- Build reliable infrastructure that enables long-running, distributed AI workflows.
- Partner with product, research, and platform engineering teams to bring new agent capabilities into production.
- Improve platform reliability, observability, and performance as customer workloads continue to scale.
- Evaluate and strengthen technical architecture, engineering processes, and developer tooling.
- Maintain high standards for software quality through testing, automation, continuous delivery, and proactive management of technical debt.
- Mentor engineers on system design, distributed systems, and backend engineering best practices
Requirements
- Extensive experience building scalable backend systems using Go, Python, Rust, or similar languages.
- Strong understanding of distributed systems, asynchronous processing, APIs, and cloud-native application architecture.
- Experience designing and operating production services at scale.
- Hands-on experience building backend platforms, developer tools, or infrastructure products.
- Familiarity with cloud platforms such as AWS, GCP, or Azure and container technologies including Docker and Kubernetes.
- Proven ability to take ownership of large technical initiatives from architecture through production.
- Commitment to software quality, automated testing, observability, and continuous delivery.
- Strong communication skills and the ability to collaborate effectively across engineering, product, research, and design teams.
- Ability to thrive in fast-moving, ambiguous environments while balancing technical excellence with product impact.
Skills & Technologies
| Location | Active listings |
|---|---|
| London, United Kingdom | 1 |
| New York, United States | 1 |
| San Francisco, United States | 1 |
| Seattle, United States | 1 |
| Remote - Global | 1 |
| Role type | Active listings |
|---|---|
| Research Engineer | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 1 |
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