Senior Software Engineer (AI / LLMs)
- Bedrock
- AI
- Large Language Models
- RAG
- Python
- TypeScript
- AWS Bedrock
- pgvector
- Pinecone
- Qdrant
- CI/CD
- Devops
- AWS
- ECS
- CloudWatch
- Microservices
- IaC
- Terraform
- AWS CDK
- SQL
- PostgreSQL
- Docker
- GitHub Actions
- LangChain
- OpenAI
- Datadog
- Dynatrace
- MLOps
- Pension
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!Â
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. Â
SeniorSoftware Engineer — Agentic AI PlatformÂ
Location: Remote | Full-time | Competitive CompensationÂ
Apiphani is building the future of intelligent infrastructure automation throughagentic AI. We’re looking for aSenior 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.Â
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.Â
WhatYou’ll DoÂ
- Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actionsÂ
- Develop APIs and orchestration layers inPython andTypeScript, integrating LLMs, vector databases, and observability pipelinesÂ
- Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructureÂ
- Integrate withAWS Bedrock and other LLM platforms to support multi-model capabilitiesÂ
- Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant)Â
- Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflowsÂ
- Collaborate closely with the product and DevOps teams to design architecture diagrams, plan deployments, and monitor system healthÂ
- Write clean, maintainable code with clear documentation and strong adherence to security and performance best practicesÂ
- Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and qualityÂ
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WhatWe’re Looking ForÂ
- 6+ years of backend engineering experience in production environmentsÂ
- Strong proficiency inPython andTypeScript for building distributed, event-driven systemsÂ
- Deep understanding ofAWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.)Â
- Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI modelsÂ
- Familiarity withvector databases and concepts like embeddings, similarity search, and retrieval-augmented generationÂ
- Experience with infrastructure-as-code tools such asTerraform orAWS CDKÂ
- Understanding of SQL and schema migration workflows (PostgreSQL or similar)Â
- Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflowsÂ
- Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed teamÂ
- Strong sense of ownership and ability to deliver in fast-moving, ambiguous environmentsÂ
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Bonus PointsÂ
- Experience working withLangChain,OpenAI, orAnthropic APIsÂ
- Familiarity withagentic frameworks or AI orchestration systemsÂ
- Background in observability or APM tooling (e.g., Datadog, Dynatrace)Â
- Prior experience building automation or infrastructure management toolsÂ
- Contributions to open-source LLM or MLOps projectsÂ
- Interest in shaping how AI is applied to real-world IT operationsÂ
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Why Join ApiphaniÂ
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.Â
This is an opportunity to help architect the foundations of a platform that blendsinfrastructure automation, AI, and agentic reasoning — where your technical decisions will shape the next generation of enterprise operations.Â
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Base Salary$120,000—$160,000 USDCompany 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 necessaryÂ
- Education and tuition reimbursement
- Accident, critical illness, hospital indemnity benefits offered through our providers
- Employee Assistance ProgramÂ
- Legal assistance
- Paid Time Off - up to 6 weeks per yearÂ
- Sick Leave - up to 2 weeks per year
- Parental Leave - up to 12 weeksÂ
*Benefits listed in the job description apply to employees working in the United States. For international employees, Apiphani partners with an Employer of Record,Deel, and provides all statutory benefits required under local law; certain U.S.-specific programs (such as EAP, legal assistance, etc.) may not be available outside the United States. The specific benefits package will be outlined in the local employment agreement issued through Deel.
Senior Software Engineer (AI / LLMs) · apiphani