Jobs at Silver.dev

Own the product vision and roadmap for consumer and enterprise health applications. Gather and prioritize requirements, write PRDs and user stories, and collaborate with engineering and design to deliver user-centered experiences. Use journey mapping, wireframes, analytics, user feedback, and AI tools to identify product opportunities, improve workflows, and measure outcomes. Guide designers, represent customer needs, and drive cross-functional product development across wellness, clinical navigation, digital therapeutics, and home care.

Senior and staff-level software engineers design and build realistic coding tasks used to train and evaluate frontier AI models. Responsibilities include working across TypeScript, Python, and Go codebases, revising tasks based on reviewer feedback, and working independently. The role is fully remote, flexible, and project-based, with part-time availability accepted. Compensation is per completed task, including a paid training project and $1,000 per task afterward.

Own the architecture and development of an autonomous multi-agent platform. Build orchestration infrastructure, self-improving agent harnesses, AI-powered backend services, and production agent runtimes. Improve agent behavior through prompt engineering, evaluations, structured outputs, retries, and fallbacks. Establish engineering standards, prioritize the roadmap, make architectural decisions, and lead the engineering team while remaining hands-on in implementation.

Build and deploy AI agents for enterprise customers, translating ambiguous operational challenges into technical designs and production solutions. Partner directly with customers, integrate systems and data flows, manage deployments, test with real data, improve reliability and performance, and iterate based on outcomes. Collaborate with Product and Engineering while contributing scalable tools, documentation, and delivery best practices.

Lead enterprise AI deployments from scoping through production launch. Coordinate customer, Product, and Engineering teams on requirements, integrations, timelines, SLAs, risks, and success metrics. Monitor production agent performance, remove blockers, refine solutions, and identify additional AI use cases to expand customer impact.

Own and evolve Fundable’s production data platform, building concurrent multi-source ingestion, event-driven and batch workflows, raw-to-curated data layers, and reliable recovery processes. Design PostgreSQL schemas and loading patterns, implement dbt transformations, data contracts, automated quality checks, monitoring, web scraping, provider enrichment, and LLM-based extraction. Lead the platform from architecture through deployment and ongoing operation.

Build and deploy AI agents for enterprise workflows, from customer discovery through production launch and continuous improvement. The role requires designing technical solutions, integrating APIs, data, and business systems, monitoring real-world performance, and iterating based on outcomes. The engineer will work directly with customers and partner with Product and Engineering to improve the platform and create reusable deployment patterns.

Build and maintain full-stack web applications for talent matching and rediscovery. Develop search, ranking, recommendation, and matching capabilities using OpenSearch or Elasticsearch, while applying AI/ML techniques to improve relevance. Work with backend systems, APIs, data models, and React-based frontend development. Collaborate with Product, Design, Data, and Applied ML teams, write maintainable production code, fix bugs, and ensure application stability and performance during an approximately 12-month contractor engagement.

Build and deploy AI-driven fraud detection systems for financial transactions. Develop data enrichment pipelines, research scam patterns, create evaluation frameworks, investigate production issues, and optimize AI systems for accuracy, latency, and cost. The role involves hands-on production LLM development, cloud deployment, end-to-end ownership, and collaboration with customer-facing and partner teams.

Lead architecture and hands-on development of high-scale user onboarding, identity, KYC, fraud, and core user services. Design resilient third-party integrations, asynchronous event systems, APIs, caching, and distributed systems with high availability and low latency. Establish engineering standards, observability, testing, rollback strategies, and mentor senior engineers while shaping technical direction.

Own and build backend services for real-time vehicle tracking, route optimization, billing, and dispatch. Design scalable Postgres schemas, manage migrations, integrate third-party APIs, ensure reliability and observability, set up monitoring and on-call practices, manage cloud infrastructure and infrastructure-as-code, and shape long-term backend architecture with the founding team.

Senior Technical Recruiter responsible for sourcing, screening, and placing mid-to-senior tech candidates; managing client portfolios, coordinating interviews, owning recruiting metrics, and improving tooling and processes. Hybrid onsite role with hands-on sourcing and client-facing account ownership.

Technical recruiter responsible for sourcing, screening, and placing mid-to-senior candidates. Manage client portfolios, coordinate interviews, own metrics, master recruiting tools and processes, and work onsite in a hybrid office model.

Lead end-to-end delivery of Wonderful's AI platform and agents for enterprise customers: scope POCs/onboardings, coordinate integrations and engineering, manage timelines, risks, and stakeholders, monitor production agent performance, and identify new use cases to expand adoption.

Partner with enterprise customers to design, build, and deploy AI agents; translate open-ended problems into technical designs; integrate with systems; own deployments, reliability, and iterative improvements; test with real data and collaborate with product and engineering to deliver production outcomes.

Build and improve self-service account flows and core identity systems (authentication, session management, MFA, passwordless), integrate risk-based fraud detection, ensure data retention/deletion compliance, improve login/account creation UX, and collaborate with product, security, and legal. Participate in on-call rotation and produce maintainable, well-tested code and documentation.

Lead technical sales and presales engagements, build and ship integrations and product features, hire and manage a regional technical team, scope and deploy AI agent integrations, localize product and feed regional needs into global product, and act as the local technical escalation and partner.

Work directly with enterprise customers to design, build, deploy, and iterate AI agents that integrate with systems, own end-to-end production reliability and performance, and collaborate across product and engineering.

Develop and maintain backend applications using Python and Django Rest Framework, collaborate with team members, and enhance API functionality.

Design and build backend systems and APIs to run real-time, business-critical accounting logic. Ship features end-to-end (architecture, CI/CD, testing, monitoring), integrate third-party systems, manage edge cases and production readiness, and maintain strong database schemas and migrations.