Pareto
Forward Deployed Software Engineer
Job Summary
The role involves partnering with labs to understand challenges and develop tailored AI solutions, including configuring demonstrations, advising on LLM evaluation, and building specialized tools. Candidates should have a background in computer science or related fields, strong programming skills in Python and TypeScript, and familiarity with cloud platforms like AWS. The position emphasizes customer engagement, technical expertise, and effective communication. It offers a remote-first work environment with opportunities for growth, ownership, and international collaboration.
Required Skills
Benefits
Job Description
About us
AtPareto.AI, we’re on a mission to enable top talent around the world to participate in the development of cutting-edge AI models.
In coming years, AI models will transform how we work and create thousands of new AI training jobs for skilled talent around the world. We’ve joined forces with top AI and crowd researchers at Anthropic, Character.AI, Imbue, Stanford, and University of Pennsylvania to build a fair and ethical platform for AI developers to collaborate with domain experts to train bespoke AI models.
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 asPython, 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
More about the role:
Ground floor opportunity at a venture-backed startup.
International and dynamic work environment with flat hierarchies and space for ownership.
Challenging and diverse projects for continuous growth.
Competitive salary and equity package.
Annual stipend to support home office needs.
Medical insurance reimbursement.
We’re aremote-first company with an engineering team spread across the US, Africa and Latin America with a greater team that extends to Asia too. To make this work, we have core collaboration hours set from 8am to 1pm PST during which we have our stand-ups, planning meetings or retros.
Our stack:
Backend:
Django 5
Python 3.12
Celery
Redis
Frontend:
React 18.2
Infra (AWS):
Fargate
ECS
RDS
Pareto
Pareto matches AI companies with expert-vetted data labelers to fine-tune cutting-edge AI/LLM models. Meet the top 0.01% of AI labelers today.
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.