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Tech Stack
Tools & technologiesAWSDistributed SystemsJavaScriptKafkaNode.jsPostgresTypeScript
About the role
Key responsibilities & impact- Design, build, and operate backend services and APIs that power conversational and agentic AI features.
- Implement the services needed for context management, tool invocation, rich content access, and multi-step orchestration.
- Build robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost-aware usage.
- Ensure these services are designed for production from day one, with strong standards on reliability, maintainability, and security.
- Partner with the IC5 Staff Engineer to implement the architecture supporting AI-native product experiences.
- Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads.
- Help define how applicative squads can expose MCP-compatible tools and capabilities to central AI services.
- Translate high-level architectural direction into concrete technical implementations and scalable engineering patterns.
- Own complex backend components end-to-end, from design and implementation to deployment and maintenance.
- Contribute directly to proof-of-concepts and experiments, then harden the successful ones into reliable production services.
- Review code, challenge design decisions, and raise the quality bar on backend engineering within the squad.
- Instrument services with logs, tracing, and metrics to ensure strong production visibility and fast iteration.
- Help define and uphold quality standards around latency, failure handling, cost efficiency, and resilience.
- Collaborate with Product Managers and Designers to turn AI product concepts into concrete backend capabilities.
- Partner with applicative squads to connect backend services with the tools, context, and business actions needed by AI systems.
Requirements
What you’ll need- Significant experience on backend software engineering experience in production environments.
- A strong track record of designing and shipping scalable backend services with clear ownership of reliability and maintainability.
- Experience contributing to complex technical projects in fast-paced product organizations.
- Ideally, hands-on exposure to AI-enabled or LLM-backed product features in production.
- Strong backend engineering skills with TypeScript / Node.js or adjacent technologies.
- Good fluency in service design, asynchronous architectures, and resilient distributed systems.
- Experience integrating APIs and external services into robust product backends.
- Practical experience, or strong interest, in integrating LLMs into production systems, ideally using platforms such as AWS Bedrock, OpenAI, or Anthropic.
- Familiarity with technologies such as Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices.
- Fluent in written and spoken English, our business language.
Benefits
Comp & perks- Flexible on-site and remote policy
- Latest Apple equipment — the tools you need to excel
- Access to Moka.care — for emotional and mental health wellbeing
- Great office snacks — to fuel your day
- A positive team to work with daily!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
backend software engineeringscalable backend servicesTypeScriptNode.jsservice designasynchronous architecturesresilient distributed systemsAPI integrationLLM integrationproduction systems
Soft Skills
collaborationcommunicationownershipdesign decision makingquality assuranceproblem solvingfast-paced project managementtechnical leadershipcode reviewvisibility in production