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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
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
Tools & Technologies
AWS BedrockOpenAIAnthropicKafkaSQSStep FunctionsPostgreSQLobservability practiceslogstracing
Industry Keywords
AI featuresagentic AIcontext managementtool invocationmulti-step orchestrationproduction environmentsreliable production servicesMCP-compatible toolsscalable engineering patternsfast iteration
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!