Job Description
Job Description
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 environmentsStrong proficiency in Python and TypeScript for building distributed, event-driven systemsDeep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.)Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI modelsFamiliarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generationExperience with infrastructure-as-code tools such as Terraform or AWS CDKUnderstanding of SQL and schema migration workflows (PostgreSQL or similar)Hands-on experience with Docker, GitHub Actions, and cloud-native CI / CD workflowsAbility to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed teamStrong sense of ownership and ability to deliver in fast-moving, ambiguous environmentsBonus Points
Experience working with LangChain , OpenAI , or Anthropic APIsFamiliarity with agentic frameworks or AI orchestration systemsBackground in observability or APM tooling (e.g., Datadog, Dynatrace)Prior experience building automation or infrastructure management toolsContributions to open-source LLM or MLOps projectsInterest in shaping how AI is applied to real-world IT operationsWhy Join Apiphani
You'll be joining a globally distributed, high-performing team focused on redefining how enterprises manage infrastructure. Every feature you build will directly impact how engineers interact with intelligent systems in production environments.
This is an opportunity to help architect the foundations of a platform that blends infrastructure automation, AI, and agentic reasoning — where your technical decisions will shape the next generation of enterprise operations.
Base Salary
$120,000—$160,000 USD
Company Benefits
Medical / dental / vision - 100% paid for employees, 50% paid for dependentsLife and disability - 100% paid for employees401K - 3% contribution, no employee contribution necessaryEducation and tuition reimbursement - up to $50K annuallyEmployee Stock Options PlanAccident, critical illness, hospital indemnity benefits offered through our providersEmployee Assistance ProgramLegal assistancePaid Time Off - up to 6 weeks per yearSick Leave - up to 2 weeks per yearParental Leave - up to 12 weeks