About this role
ABOUT PARETO
Humanity is in a virtuous cycle: human insight improves AI, and better AI expands what people can do. Sustaining it depends on the one input that can't be automated: expert human judgment https://pareto.ai/blog/debating-persuasive-llms-truthful-answers.
At Pareto, we build the platform that turns that judgment into the data https://pareto.ai/blog/community-driven-knowledge-resource-ai, evals https://pareto.ai/blog/introducing-attunebench, and RL environments frontier models https://pareto.ai/blog/llm-metacognition-shared-and-shallow learn from. We work with leading frontier labs like Anthropic and GDM, and we give skilled people everywhere a way to shape the future of AI and share in what it creates.
This RL environment and human-data infrastructure is already in production. Our job now is to scale it.
Responsibilities:
Working as a Forward Deployed Software Engineer at Pareto AI means partnering directly with labs to understand their challenges and develop targeted solutions while closely supporting them with their goals in AI research and development. Your key duties will include:
- Leverage innovative thinking, problem-solving capabilities, and engineering expertise to address critical AI challenges for clients
- Configure and present tailored product demonstrations to highlight platform features for potential clients
- Advise customers on LLM evaluation best practices and provide strategic AI guidance
- Write code, construct specialized evaluation datasets, build custom web applications, and produce technical documentation to train customers on platform usage
- Author technical blog content and promote the product and organization through social platforms and industry gatherings
- Partner with interdisciplinary teams across delivery, product, engineering, and ML to influence product roadmap and achieve important business objectives
Qualifications
Most importantly, we seek candidates with initiative, eagerness to grow, unwavering determination, and enthusiasm for direct customer engagement. You would be an excellent candidate if your experience includes:
- Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, or related analytical discipline
- Solid technical foundation, ideally in machine learning or data analytics
- Strength in programming languages such as Python, Typescript, or functional languages
- Familiarity with cloud platforms like AWS
- Outstanding communication abilities and analytical troubleshooting skills
- Flexibility to visit customer locations when required (Business trips to California)
- Having the legal right to travel to the US
- Demonstrate strong ethics, honesty, and consideration for colleagues
Our stack:
- Backend:
- Django 5
1. Python 3.12
2. Celery
3. Redis
- Frontend:
- React 18.2
- Infra (AWS):
- Fargate
1. ECS
2. RDS
Humanity is in a virtuous cycle: human insight improves AI, and better AI expands what people can do. Sustaining it depends on the one input that can't be automated: expert human judgment https://pareto.ai/blog/debating-persuasive-llms-truthful-answers.
At Pareto, we build the platform that turns that judgment into the data https://pareto.ai/blog/community-driven-knowledge-resource-ai, evals https://pareto.ai/blog/introducing-attunebench, and RL environments frontier models https://pareto.ai/blog/llm-metacognition-shared-and-shallow learn from. We work with leading frontier labs like Anthropic and GDM, and we give skilled people everywhere a way to shape the future of AI and share in what it creates.
This RL environment and human-data infrastructure is already in production. Our job now is to scale it.
Responsibilities:
Working as a Forward Deployed Software Engineer at Pareto AI means partnering directly with labs to understand their challenges and develop targeted solutions while closely supporting them with their goals in AI research and development. Your key duties will include:
- Leverage innovative thinking, problem-solving capabilities, and engineering expertise to address critical AI challenges for clients
- Configure and present tailored product demonstrations to highlight platform features for potential clients
- Advise customers on LLM evaluation best practices and provide strategic AI guidance
- Write code, construct specialized evaluation datasets, build custom web applications, and produce technical documentation to train customers on platform usage
- Author technical blog content and promote the product and organization through social platforms and industry gatherings
- Partner with interdisciplinary teams across delivery, product, engineering, and ML to influence product roadmap and achieve important business objectives
Qualifications
Most importantly, we seek candidates with initiative, eagerness to grow, unwavering determination, and enthusiasm for direct customer engagement. You would be an excellent candidate if your experience includes:
- Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, or related analytical discipline
- Solid technical foundation, ideally in machine learning or data analytics
- Strength in programming languages such as Python, Typescript, or functional languages
- Familiarity with cloud platforms like AWS
- Outstanding communication abilities and analytical troubleshooting skills
- Flexibility to visit customer locations when required (Business trips to California)
- Having the legal right to travel to the US
- Demonstrate strong ethics, honesty, and consideration for colleagues
Our stack:
- Backend:
- Django 5
1. Python 3.12
2. Celery
3. Redis
- Frontend:
- React 18.2
- Infra (AWS):
- Fargate
1. ECS
2. RDS
Tech stack
LLMPythonAWSDjangoRedisReact
About Pareto
Pareto is hiring for the forward deployed software engineer role. NewJob aggregates active openings directly from Pareto's applicant tracking system, so this listing is current.
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