Job Specifications
This is a high-impact, foundational role in a fast-paced, high-stakes environment. As one of our first engineers, you're not just building features—you're building core parts of the product and the systems behind them. Your mission is to transform powerful generative AI capabilities into an intuitive, real-time platform, while also ensuring the backend is reliable, scalable, and secure.
You will:
Work closely with AI, product, and design to architect and build features end-to-end (frontend + backend)
Design and build core application systems: AI agent experiences, data visualization, and a real-time simulation interface for video, audio, chat, and beyond
Build and maintain backend services and APIs that power simulations, including auth, session management, billing hooks, permissions, and orchestration of AI workflows
Integrate LLM pipelines and agentic systems into production via robust backend patterns: queues/jobs, rate limiting, retries, caching, and observability
Own data flows across the stack: schema design, database performance, event tracking, and analytics pipelines that inform product iteration
Rapidly prototype new AI-driven features—from initial prompt/design to full-stack implementation—and ship in tight loops
Improve performance and reliability: optimize latency for real-time experiences, harden APIs, and contribute to deployment/infra practices as we scale
Requirements
2+ years of experience as a full-stack engineer, ideally in a startup or similarly fast-paced environment
Strong with modern frontend technologies (React/Next.js) and solid backend experience building APIs/services (Node.js/TypeScript, Postgres/Supabase or similar)
Experience with real-time systems (WebSockets/WebRTC) and integrating AI/LLM SDKs (e.g., Vercel AI SDK, LangChain)
Comfortable with backend fundamentals: API design, database modeling, caching, background jobs/queues, security basics, and monitoring
Strong product mindset and attention to UX—able to sweat the details and ship polished experiences
Interest in generative AI, LLMs, RAG pipelines, and agentic architectures
Remote work requirements: Reliable internet connection and ability to work effectively using modern collaboration tools.
Benefits
Compensation:
Compensation varies based on profile and experience, but a general cash range (fixed comp + performance variable) is $100,000-$250,000, plus a very competitive equity package.
About the Company
Convergent is an AI & analytics platform to unlock human socio-cognitive potential, starting from high-stakes human interactions and decision-making in business and beyond. Our clients know us for delivering top-tier KPI improvements in days and for our strong commitment to ethics and security. We’re human-centric, performance-driven, and privacy-first. We pursue cutting-edge AI research at the intersection of multi-agent systems, immersive and interactive technologies, psychometrics and cognitive science, generative media a...
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