Base Salary
$120k - $160k/yr
Responsibilities
- Design and implement backend services for intelligent agent workflows and autonomous infrastructure actions.
- Develop Python and TypeScript APIs and orchestration layers integrating LLMs, vector databases, and observability pipelines.
- Build scalable systems for LLM-based reasoning, retrieval, and decision-making across cloud infrastructure.
- Integrate AWS Bedrock and other LLM platforms to support multi-model capabilities.
- Develop data access and semantic search layers using vector databases such as pgvector, Pinecone, and Qdrant.
- Build monitoring, testing, and CI/CD systems that support reliable and reproducible AI workflows.
- Collaborate with product and DevOps teams on architecture diagrams, deployment planning, and system health monitoring.
- Write maintainable, documented code following security and performance best practices.
- Participate in code reviews, design discussions, and iterative delivery cycles.
Requirements
- At least 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, including Lambda, ECS, Bedrock, S3, and CloudWatch.
- Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models.
- Familiarity with vector databases, embeddings, similarity search, and retrieval-augmented generation.
- Experience with infrastructure-as-code tools such as Terraform or AWS CDK.
- Understanding of SQL and schema migration workflows using PostgreSQL or a similar database.
- Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows.
- Ability to diagram systems, communicate architecture decisions, and work asynchronously in a distributed team.
- Strong ownership and ability to deliver in fast-moving, ambiguous environments.
- Preferred experience with LangChain, OpenAI APIs, or Anthropic APIs.
- Preferred familiarity with agentic frameworks, AI orchestration systems, observability or APM tooling such as Datadog or Dynatrace, and infrastructure management tools.
Benefits
- Remote, full-time position.
- Medical, dental, and vision coverage with 100% employee premiums paid and 50% dependent premiums paid for U.S. employees.
- Life and disability insurance with 100% employee premiums paid.
- 401(k) contribution of 3% with no employee contribution required.
- Education and tuition reimbursement up to $50,000 annually.
- Employee stock options plan.
- Accident, critical illness, and hospital indemnity benefits.
- Employee Assistance Program and legal assistance.
- Paid time off up to 6 weeks per year, sick leave up to 2 weeks per year, and parental leave up to 12 weeks.
- International employees receive statutory benefits through Deel, with specific coverage defined in the local employment agreement.
Tech Stack
Categories
About apiphani
We provide end-to-end IT and managed services for complex SAP environments, offering a boutique experience with highly skilled resources at competitive rates. At apiphani, we've adopted the Outcomes-as-a-Service (OaAS) approach, because what matters isn't the number of incidents resolved or even avoided, but the results you can count on. By pairing our deep cloud expertise with agentic AI, we keep complex IT environments, like SAP, performing (even singing) without the friction and firefighting that slows everyone down. Our focus is uptime, problem solving, and speed - not headcount. By uniting highly-skilled engineers with AI-driven observability and automation, we lower system "noise," shrink MTTR, and keep mission-critical environments running at peak efficiency. Keywords for us are: quiet, reliable, fast, resilient. Services we offer include SAP Services, Managed Services, AI Strategy, Cloud & Infrastructure Strategy, Data & Analytics, Cybersecurity, AIOps, DevOps, and AMS. We're proud to be an SAP Silver Partner with an SAP Services Competency on AWS.