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Senior Software Engineer (AI / LLMs) at apiphani. . Location: Remote. 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.).  . . . . 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, GitHub 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.  . . .  . . Bonus Points.  . . . Experience working with . LangChain. , . 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 open-source LLM or MLOps projects.  . . . . Interest in shaping how AI is applied to real-world IT operations.  . . .  . . Why 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 dependents. . Life and disability - 100% paid for employees. . 401K - 3% contribution, no employee contribution necessary . . Education and tuition reimbursement - up to $50K annually. . Employee Stock Options Plan . . Accident, critical illness, hospital indemnity benefits offered through our providers. . Employee Assistance Program . . Legal assistance. . Paid Time Off - up to 6 weeks per year . . Sick Leave - up to 2 weeks per year. . Parental Leave - up to 12 weeks .