Senior Software Engineer; AI​/LLMs

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, which means there’s lots of room for growth and learning opportunities abound!

Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered.

We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table.

Location: Remote | Full-time | Competitive Compensation

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.

• Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions

• Develop APIs and orchestration layers in Python and Type Script , 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

• Collaborate closely with the product and Dev Ops teams to design architecture diagrams, plan deployments, and monitor system health

• Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices

• Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality

• 6+ years of backend engineering experience in production environments

• Strong proficiency in Python and Type Script for building distributed, event-driven systems

• Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, Cloud Watch, etc.)

• 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

• Understanding of SQL and schema migration workflows (PostgreSQL or similar)

• Hands-on experience with Docker, Git Hub Actions, and cloud-native CI/CD workflows

• Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed team

• Strong sense of ownership and ability to deliver in fast-moving, ambiguous environments

• Experience working with Lang Chain
  , 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

• Contributions to…