Senior Software Engineer (AI / LLMs)
Apiphani· enterprise· Information Technology And Services· Oct 22, 2025 · 12mo agoPosted 370 days ago
United States
Remote
Full-time
Senior
$121K–$180K est.
6+ years exp
Before you apply
Ghost Signal:
Open since October 22, 2025 — 370 days, and still accepting applications.
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 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
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
* 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.
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Benefits
Benefits detected in the listing.
Dental
Vision
401k
Paid Time Off
Parental Leave