Senior Software Engineer (AI / LLMs)

About Apiphani

Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company with lots of room for growth and learning opportunities.

Senior Software Engineer — Agentic AI Platform

Apiphani is building the future of intelligent infrastructure automation through agentic AI. We're looking for a Senior Backend Engineer to help design and build the systems that power Luumen — an AI-driven automation platform used by enterprise IT and managed service providers around the world.

This is a high-impact, zero-to-one engineering role focused on building the backend foundations for large-scale AI orchestration. You'll work on distributed systems that combine traditional infrastructure automation with large language models (LLMs), retrieval-augmented generation (RAG), and intelligent agents.

What You'll Do:
- 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.

What We're Looking For:
- 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).
- Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models.
- Familiarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generation.
- Experience with infrastructure-as-code tools such as Terraform or AWS CDK.
- Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows.

Bonus: LangChain, OpenAI, Anthropic APIs, Datadog, Dynatrace.

Salary: $120,000 - $160,000 USD.

Benefits: 100% medical/dental/vision for employees, 401K 3% contribution, up to $50K education reimbursement annually, stock options, up to 6 weeks PTO.