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AI Native Software Engineer
Rearc
- New York, New York, United States
- New York, New York, United States
About
This role focuses on building production systems, agent‑based workflows, integrating AI platforms, and delivering scalable, cloud‑native solutions. You’ll work across the full lifecycle — from system design through to production deployment — building AI‑powered applications that integrate into real business workflows. This is a 100% hands‑on engineering role, requiring strong software engineering fundamentals alongside practical experience with modern AI systems.
What You Bring
8–10+ years of software engineering experience
Strong experience building cloud‑native systems, including APIs, microservices, containers, and serverless architectures
Proven experience building and deploying AI/LLM‑based systems in production (e.g. RAG, agents, orchestration workflows)
Hands‑on experience with AI platforms (e.g. OpenAI, Anthropic, Google Vertex, or similar)
Experience designing and implementing:
Retrieval systems (RAG)
Agent workflows and orchestration
Tool/function invocation patterns
Strong understanding of system‑level trade‑offs (performance, cost, latency, reliability)
Experience with CI/CD pipelines, infrastructure as code, and production observability
Proficiency in Python, Java, or similar backend languages
Experience debugging and optimising production systems
Preferred Experience
Experience with agent frameworks (e.g. LangGraph, AutoGen, CrewAI)
Experience designing multi‑agent or distributed AI systems
Familiarity with enterprise‑scale system integration
Experience optimising AI workloads for cost and performance
What You’ll Do
Design and implement AI agents, including RAG pipelines, orchestration workflows, and tool invocation
Build evaluation frameworks to measure system accuracy, latency, and reliability
Implement observability and monitoring across the AI system lifecycle
Integrate with AI providers and build abstraction layers to support multi‑model and multi‑provider architectures
Optimise AI systems for performance, cost, and scalability
Develop cloud‑native services using microservices, containers, and serverless patterns
Build and deploy AI‑powered applications aligned to business workflows
Integrate AI systems into existing enterprise platforms and APIs
Define and execute testing strategies for AI systems
Measure and improve system performance (latency, throughput, accuracy, cost)
Debug and optimise production systems
Collaborate with client and internal engineering teams
Participate in technical design discussions, focused on implementation
Rearc is committed to a diverse and inclusive workplace. Rearc is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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Languages
- English
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