Senior Software Engineer
Prolific
| Company | Prolific |
| Category | Engineering |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 17 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Se nior Software Engineer
Engineering
Prolific
Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.
The role
We’re looking for impact-focused Software Generalists to join our specialized team focused on serving frontier model creators and enterprise AI application developers. As a full-stack engineer, you will work across Prolific’s domains to solve customer and product problems.
This is an exciting opportunity to work directly with frontier AI companies, making critical technical decisions that balance scrappy startup execution with scalable, reliable engineering, as Prolific revolutionizes research for the AI community. You'll will have regular in person collaboration with customers and our US team, as well as collaborate closely with our UK-based tech teams.
This role is hybrid based out of our San Francisco office, approx 1-2 days a week.
What you’ll bring to the role
Over 4 years of experience in a product engineering role
Can translate business concepts into software models
Ability to quickly learn and adapt across the breadth of Prolific’s domains
Familiar working in both monoliths and distributed systems
Strong communication and collaboration skills for direct customer interaction
Good understanding of modern web applications and architecture design patterns
Experience supporting applications in production environments
Judgment to balance scrappy startup execution with scalable, reliable engineering
Comfort with rapid iteration and responding to customer queries with urgency
Experience with some of our technology stack:
Python (we use Django & Fast API)
TypeScript and JavaScript (we use Vue.js)
SQL and NoSQL databases (we use MongoDB and PostgresSQL)
Building and deploying to the cloud (we use GCP, Kubernetees, Github Actions & CircleCI)
Instrumenting, monitoring & observability (we use Datadog)
What you’ll be doing in the role
This is a unique engineering role at Prolific.
In this role, you will operate with high ownership and a product mindset, at start-up pace, to solve customer problems and capture business opportunities irrespective of the technology required to do so.
You will be part of a cross-functional Product Engineering team, optimised for the success of a single customer group. You will collaborate directly with account managers, customer success specialists and customers to deeply understand their problem spaces. You will ideate and build with autonomy, supported by a high-performing team.
This role will see you work across Prolific domains to solve customer problems, needing you to get up to speed quickly and deliver across shared codebases to a high engineering standard. You will also help support our systems in production & respond to incidents when required.
Key Technologies
Cloud Platforms: Google Cloud Platform and AWS
Programming Languages: Python, JavaScript, and TypeScript
Frameworks: Vue.js, Django Rest Framework, Container-based and Serverless architectures
Databases: MongoDB and DynamoDB
DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge and DataDog
Why Prolific is a great place to work
We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
We believe that the next leap in AI capabilities won't come solely from scaling
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