Celeritas AI - Senior AI Software Engineer
Full-time • Remote • Working hours aligned with U.S. East Coast
Celeritas AI builds software that automates order intake, order management, and reimbursement workflows for Durable Medical Equipment (DME) providers. We combine a modern cloud service architecture with practical AI to reduce manual effort, increase accuracy, and improve operational throughput in compliance-sensitive environments.
We are hiring Senior Software Engineers (2+ years of production experience) who can contribute across the stack, with particular strength in either frontend (React/TypeScript) or backend (AI-driven data pipelines and deployment). This is a senior engineering role; candidates may lean frontend or backend, but should collaborate comfortably across the full product lifecycle.
Responsibilities
- Design, build, test, and ship production features for operations-heavy workflows.
- Develop and maintain full-stack web applications with high standards for correctness, security, and maintainability.
- Build backend capabilities that transform messy real-world inputs (prescriptions, medical notes, insurance policies) into structured, auditable data and leverage that to optimize order management
- Strengthen operational readiness: logging/metrics, performance tuning, incident response, and efficient cloud deployment.
- Contribute to team standards through code reviews, documentation, and continuous improvement of engineering practices.
Qualifications
- 2+ years of production-level software engineering experience in professional environments.
- Strong computer science fundamentals (data structures, algorithms, OOP, debugging)
- Strong proficiency in Python for backend services and/or data processing.
- Working knowledge of modern web development practices (APIs, authentication/authorization concepts, testing, and clean code).
- Familiarity with cloud deployment (AWS or Azure) and containerization (Docker).
- Strong written and verbal communication in English with the ability to clearly convey ideas, requirements, and feedback.
- Comfortable working autonomously as well as within a remote, cross-functional team.
- Ability to learn and apply emerging foundational concepts, practical techniques and implementation best practices in generative AI
We are especially interested in candidates who have one of the following strengths, while still being able to collaborate across the rest of the stack:
Frontend-leaning (React/TypeScript)
- Strong experience building and maintaining React + TypeScript applications.
- Comfort implementing complex UI workflows (tables, forms, multi-step review flows) with attention to usability and performance.
- Familiarity with frontend testing and component patterns that scale.
Backend-leaning (AI-enhanced data pipelines + deployment)
- Experience building production backend systems that resemble data processing pipelines (workflow orchestration, background jobs, queues, batch processing, or event-driven services).
- Familiarity implementing LLM-assisted extraction/classification/inference with structured outputs and validation
- Comfort with observability (logs/metrics/tracing), operational reliability, and cloud deployment practices.
Experience in the following areas would be applicable, but is not required :
- Document processing (PDF parsing, OCR, layout-aware extraction)
- LLM context and memory management (e.g. RAG, LlamaIndex)
- PostgreSQL/MongoDB performance, Redis caching, or background job systems
- Healthcare or regulated-domain exposure (e.g. HIPAA awareness)
Technology stack
- Languages & Frameworks: Python, Flask, React, TypeScript, Java, Material UI
- AI & ML Tools: OpenAI, Anthropic, Llama, LlamaIndex
- Cloud & Infrastructure: AWS services, Docker
- Data Storage: PostgreSQL, MongoDB, Redis, Object Storage
How to apply
Please submit:
- Your resume, and
- A short voice note introducing yourself - your relevant experience, your primary strength—frontend or backend—and why you are interested in Celeritas AI
Send to: dev-hiring@celeritiasai.com