About the role
Responsibilities Design and implement backend services for intelligent agent workflows and autonomous infrastructure actions Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs and vector databases Build scalable systems to support LLM-based reasoning and decision-making across cloud infrastructure Integrate with AWS Bedrock and other LLM platforms Develop data access and semantic search layers using vector databases like pgvector, Pinecone, or Qdrant Build monitoring, testing, and CI/CD systems for AI workflows Collaborate with product and DevOps teams on architecture and deployment Write clean, maintainable code adhering to security and performance best practices Requirements 6+ years of backend engineering experience in production environments Strong proficiency in Python and TypeScript for distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch) Experience designing APIs and microservices that interface with AI models Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) Experience with infrastructure-as-code tools such as Terraform or AWS CDK Understanding of SQL and schema migration workflows Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD Preferred Qualifications Experience with LangChain, OpenAI, or Anthropic APIs Familiarity with agentic frameworks or AI orchestration systems Background in observability or APM tooling (e.g., Datadog, Dynatrace) Prior experience building automation or infrastructure management tools About the Company Apiphani is a technology-enabled managed services company dedicated to redefining support for mission-critical enterprise workloads through agentic AI and intelligent infrastructure automation.