Key skills
AWSCloudDockerMicroservicesPostgresPythonSQLTerraformTypeScriptAILLMQdrantPineconeGitHub ActionsECSAWS CDKLambdaS3CloudWatchBedrockPostgreSQLGitHubCI/CD
About this role
Role Overview
- Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions
- Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines
- Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure
- Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities
- Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant)
- Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflows
- Collaborate closely with Product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health
- Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices
- Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality
Requirements
- 6+ years of backend engineering experience in production environments
- Strong proficiency in Python and TypeScript for building distributed, event-driven systems
- Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.)
- Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models
- Familiarity with vector databases and concepts such as embeddings, similarity search, and retrieval-augmented generation
- Experience with infrastructure-as-code tools such as Terraform or AWS CDK
- Strong understanding of SQL and schema migration workflows (PostgreSQL or similar)
- Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows
- Ability to diagram systems, communicate architecture decisions clearly, and work effectively in a distributed team
- Strong ownership mindset and ability to deliver in fast-moving, ambiguous environments
Tech Stack
- AWS
- Cloud
- Docker
- Microservices
- Postgres
- Python
- SQL
- Terraform
- TypeScript
Benefits
- Medical, dental, and vision — 100% paid for employees, 50% paid for dependents
- Life and disability insurance — 100% paid for employees
- 401(k) — 3% contribution, no employee contribution required
- Education and tuition reimbursement — up to $50,000 annually
- Employee Stock Options Plan
- Accident, critical illness, and hospital indemnity coverage
- Employee Assistance Program
- Legal assistance
- Paid Time Off — up to 6 weeks per year
- Sick Leave — up to 2 weeks per year
- Parental Leave — up to 12 weeks