Related skills
terraform postgresql python typescript llms๐ Description
- Design backend services for intelligent agent workflows and autonomous infrastructure actions
- Develop APIs and orchestration layers in Python and TypeScript
- Build scalable systems for LLM-based reasoning and retrieval across cloud infra
- Integrate with AWS Bedrock and other LLM platforms for multi-model support
- Develop data access and semantic search with vector databases (pgvector, Pinecone, Qdrant)
- Build monitoring, testing, and CI/CD to ensure reliability of AI workflows
๐ฏ Requirements
- 6+ years of backend engineering experience in production environments
- Proficiency in Python and TypeScript for distributed, event-driven systems
- Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch)
- Experience designing APIs, microservices, and event pipelines interfacing with LLMs
- Familiarity with vector databases and embeddings, similarity search, retrieval-augmented generation
- Experience with infrastructure-as-code tools such as Terraform or AWS CDK
๐ Benefits
- Medical, dental, and vision โ 100% paid for employees, 50% paid for dependents
- Life and disability insurance โ 100% paid for employees
- 401(k) โ 3% contribution, no employee contribution required
- Education and tuition reimbursement โ up to $50,000 annually
- Employee Stock Options Plan
- Paid Time Off โ up to 6 weeks per year
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