Trust Lab

Backend Engineer

• Build internal and customer facing tools used daily to improve AI agent behavior
• Drive product features from intuitive React frontends (TypeScript) to robust Python (Django/FastAPI) backends.
• Build the workflows that allow human-in-the-loop AI to function at peak efficiency.
• Set the standard for code quality and scalability in a fast-moving, early-stage product environment.
• Influence product direction, technical standards, and architectural decisions from day one.

Senior Full Stack Engineer, Python/React

Systems Engineer

• Design and build extensible backend systems that support flexible configurations for different customers and content types.
• Develop infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows.
• Build tooling and platforms that enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.
• Prioritize ease of deployment, integration, and testing—both for internal teams and external partners.
• Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.

Senior Backend Engineer – AI

AI Engineer

• Train, evaluate, and monitor new and improved LLMs and other algorithmic models
• Test and deploy content moderation models in production
• Iterate based on real-world performance metrics and feedback loops
• Ensure results delivered to customers
• Be proactive in cross-functional execution

• **Who we are:**TrustLab deploys cutting edge solutions to evaluate AI agents, models and apps for enterprise customers. With a 5 year track record working with large and small clients including social media companies and digital market places, and guided by founders who previously worked in senior leadership positions at Google, YouTube, TikTok, and Reddit, we are creating industry leading LLM based solutions for agentic system evaluation and labeling. Our approach includes human-in-the-loop and LLM-as-a-judge technologies, with a focus on rapid innovation and production level scaling. You’ll join a small, mission-driven team where your contributions have a direct impact on real-world issues.
• **What you’ll do:****At TrustLab, your work won’t live in theory - it will power live systems used at large scale. You’ll develop, tune, and optimize LLM-driven solutions that interpret and reason about complex digital content, while experimenting rapidly from design to deployment and seeing immediate feedback from real-world use cases. Partnering closely with other engineers, researchers, and product leaders, you’ll pioneer new approaches to model training and evaluation, taking ownership from early R&D through to production launches, and ensuring your work directly shapes how millions of people experience AI-powered content.
• **Key Responsibilities:**
• - Train, evaluate, and monitor new and improved LLMs and other algorithmic models
• - Test and deploy content moderation models in production, and iterate based on real-world performance metrics and feedback loops.
• - Develop medium to long-term vision for content understanding-related R&D, working with management, product, policy & operations, and engineering teams.
• - Take ownership of results delivered to customers, pushing for change in approach where needed and taking the lead on cross-functional execution.
• **What we’re looking for:**
• - Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Ph.D. is a plus. Proficiency in Python. Experience with AWS and CI/CD processes & tools is a strong plus.
• - Experience with prompt-engineering techniques and familiarity with multiple LLM providers.
• - Several years of industry experience in NLP / Computer Vision, or making LLM’s work in production for non-trivial use cases, incl. familiarity with evaluation metrics for classification tasks and best practices for handling imbalanced datasets.
• - Hands-on experience with debugging issues in production environments, especially on AWS.
• - Strong track record delivering results under time and resource pressure
• **Why Join Us?**
• - Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.
• - Ample opportunity and support for growth, as a technical individual contributor, or manager.
• - Apply AI technology to real-world business use cases at a significant scale, with blue chip customers
• - Work as part of a team where you can know everyone, but don’t have to do everyone’s job.
• - Competitive compensation, comprehensive benefits, and hybrid in-office policy.

Senior AI Engineer

Business Development Rep

• Build top-of-funnel pipeline through thoughtful outbound: cold outreach, warm intros, referrals, and ecosystem connections
• Target senior stakeholders (VP+, Head of AI/ML, AI Platform, Product, Trust & Safety, Compliance)
• Develop compelling, informed outreach that resonates with teams deploying AI agents and GenAI apps
• Identify companies that are strong candidates for early Proof-of-Concept and design partnerships
• Qualify prospects based on technical maturity, urgency, and feedback potential
• Help structure early conversations that balance sales, discovery, and co-creation
• Act as a frontline signal-gatherer for customer pain points, buying triggers, competitive alternatives, and language that resonates (or doesn’t)
• Synthesize insights back to product and leadership to refine ICP, messaging, and roadmap priorities
• Partner directly with the CEO and leadership team to move high-value prospects forward
• Help prep conversations, demos, and follow-ups for senior-level meetings
• Maintain strong outreach velocity across email, LinkedIn, and calls
• Own CRM hygiene, pipeline tracking, and experiment-driven iteration on outreach strategies
• Continuously refine sequences, targeting, and messaging based on performance data

Senior Full Stack Engineer, Python/React

Senior Backend Engineer – AI

AI Engineer

Senior AI Engineer

Business Development Representative, AI Trust Solutions