7 months ago
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
Apiphani provides technology-enabled managed services and consulting for complex SAP environments, combining cloud engineering with AIOps and automation. The company helps enterprises run SAP S/4HANA and SAP BTP on AWS with high uptime through Outcomes-as-a-Service and SAP migration/operations support. Founded in 2018 and headquartered in Boston, it is privately held and an SAP Silver Partner with an SAP Services Competency on AWS, serving regulated-industry customers.