Note: The job is a remote job and is open to candidates in USA. Calabria Group is seeking a hands-on Staff-level backend engineer who has built production AI platforms. The role involves leading architecture decisions while actively participating in coding, shaping the AI platform, and ensuring the integration strategy across systems for delivering high-quality solutions to customers.
Responsibilities
- Lead multi‑quarter initiatives that cut across AI, product, and infra (e.g., a new orchestration layer, a low-latency retrieval system, or a unified knowledge base)
- Mentor senior and mid-level engineers, raising the bar on system design, code quality, and AI integration practices across the org
- Be a go-to expert in new model capabilities, collaborating closely with AI/ML engineers, researchers, designers, and PMs to translate industry improvements into reliable, user‑facing workflows that accountants trust
- Help shape the team’s roadmap, technical strategy, and engineering culture – from experimentation practices to testing, rollout, and postmortems
- Provide your technical POV on architecting and implementing backend services (Python, FastAPI, PostgreSQL, AWS, Vercel) that power generative AI agents, complex workflows (e.g., tax filing, advisory, audit), and document‑centric experiences
- Build and evolve AI orchestration: routing, tool calling, MCP servers, multi‑step workflows, safety and guardrails, and robust error handling around third‑party LLMs (OpenAI, Anthropic, and others)
- Design for high‑throughput, low‑latency AI workloads: caching, queuing, rate‑limiting, model failover, and cost/performance trade-offs
- Work with large‑scale data: millions of documents, retrieval and search, vector stores, and indexing strategies tailored to tax and accounting use cases
- Establish and refine SLOs, observability, and incident response for AI systems that must be correct, auditable, and trustworthy in professional workflows
Skills
- Bachelor's degree in computer science, Computer Engineering, a related field, or equivalent experience
- 5-7+ years of experience in full-stack development, building scalable cloud-based applications, web services, APIs and AI-driven products
- Deep Python expertise and experience with production systems using frameworks like FastAPI (or similar), relational databases (PostgreSQL or equivalent), and a major cloud provider (AWS preferred)
- Strong background in distributed systems: data modeling, API contracts, observability, resilience patterns, and performance tuning under load
- Proven track record leading large, complex projects end‑to‑end: architecture, execution, rollout, and long‑term operation
- Excellent communication skills and the ability to partner with product, design, and ML teams in a fast‑moving environment
- Demonstrated interest in AI systems and new engineering paradigms: LLMs, agents, retrieval, or similar – you care about what 'AI‑native' software should look like
- Python (FastAPI preferred)
- AWS
- Distributed Systems
- Backend Architecture & System Design
- REST APIs & Microservices
- LLMs (OpenAI, Anthropic, etc.)
- AI Agents & MCP
- RAG / Retrieval / Vector Databases
- PostgreSQL
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