About the company
Higgsfield AI — building the backend that lets agents carry creative tasks from a user's request to a finished result.
Responsibilities
- Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation
- Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions
- Tools and integrations: connect agents to generation, editing, and external services through validated interfaces
- Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements
- Evaluation and observability: trace failures, build regression cases, improve task completion, latency, and cost
- Own capabilities from defining success to measuring impact
Requirements
- Taken a difficult problem from an unclear starting point to a working production system
- Build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, repeatable evaluations
- Ability to choose next steps, remove blockers, cut scope to test ideas
- Investigate real user tasks and failed agent runs, use feedback to choose what to automate
- Take feedback and share knowledge
Nice to have
- Production agents, workflow engines, or developer tools
- High-throughput systems with heavy traffic or many long-running jobs
- Agent context management, memory, subagents, parallel tool calls
- Sandboxed execution and scoped authorization
- Multimodal workflows involving images, video, or audio
Conditions
- Competitive base in USD, equity, relocation support
- Ownership of systems turning AI capabilities into completed creative work