WorkHero - AI Systems & Backend Engineer
Location: NA, India
Department: Software Development
Experience: 5 - 10 years
Skills: AI workflows, CI/CD, API, LLM, AI, AI Frameworks, AWS, Typescript, RAG, Langchain
- Integrations & ingestion: pull data from third-party systems (APIs/webhooks/files)
- AI workflows in production: tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows
- Evals & monitoring: regression tests for prompts/workflows, quality metrics, drift detection, and cost/latency tracking
- Scalable systems: queues and orchestration, retries, data modeling, and API design to support rapid product iteration
- Security & privacy: strong auth controls and safe handling of sensitive customer data
- Analyze requirements and propose innovative AI-native solutions to technical problems
- Write clean scalable code
- Test and deploy features & services
- Optimize the performance of our AI systems
- Respond to critical system issues and ensure continuous system reliability
- Mentor team members and collaborate across teams, especially with product and subject matter experts
- Work to understand the needs of our users and think creatively about how to solve design challenges in your work
- This is a Remote role. We expect Minimum 4 hours overlap with WorkHero team (11am-3pm ET)
- Senior-level backend experience (typically 5+ years) shipping production systems that you’ve owned
- Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)
- Hands-on experience with LLM-powered features (usage, prompting, optimization, etc), AI frameworks (Langchain, etc), and AI architectures (RAG, reranking, etc)
- The ability to work with infrastructure as code (terraform), cloud, and CI/CD systems. We’re a small team, so we own the whole stack!
- A deep understanding of a modern web and AI stack: Cloud, database, API, LLM, and web
- Excitement to leverage AI coding tools to their maximum benefit. We love Claude Code and Cursor and are constantly looking for better ways to leverage our time to build fast and build for scale.
- experience with audio streaming and/or building AI voice features
- experience with workflow automation tools like n8n or Lindy
- experience with HVAC or back-office business workflows
- experience with mobile dev, especially Expo and/or React Native
- experience specifically with AWS and how to get the most out of key AWS services
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