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.  Senior Software Engineer — Agentic AI Platform  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.  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  Collaborate closely with the product and DevOps 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    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, etc.)  Experienc...