[Hiring] AI Platform Engineer @PairSoft

Role Description

This is a hands-on build role on a new team. PairSoft is standing up a central AI services platform that will be consumed by every product line in the portfolio. You will build the platform, not maintain a legacy stack. You will make daily technical decisions that shape how AI is delivered across the company, and you will see your work in production, in front of real customers, on a short cycle.

You will work alongside two or three other senior engineers on the founding platform team. In the first three to six months you will focus on shipping the v1 platform: model gateway, RAG-as-a-service, evals and observability, guardrails, and cost tagging. You will help migrate existing product AI features onto the platform and harden the operational surface.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent.
• 5+ years of professional software engineering experience with a strong production track record.
• 6+ years building production distributed systems, ideally including internal developer platforms or API gateways at scale.
• 5+ years in MLOps, LLMOps, ML platform engineering, or a hybrid DevOps plus ML role at production scale.
• Hands-on experience with observability tools for LLM systems: LangSmith, Langfuse, Braintrust, Arize, or comparable.
• Working knowledge of evaluation methodology for LLM systems: benchmark design, LLM-as-judge, human review workflows.
• Working fluency in the modern LLM ecosystem: OpenAI or Anthropic APIs, at least one orchestration framework (LangChain, LlamaIndex, or equivalent), at least one vector database, at least one observability tool.
• 2+ years of hands-on production experience with LLM-based systems: prompt engineering, RAG, evaluation, or LLM infrastructure.
• Strong Python and one of Go or Java. Comfortable with async patterns, backpressure, and rate limiting. Comfortable writing production code, not just notebooks or scripts.
• Experience designing multi-tenant systems with hard isolation guarantees.
• Cloud-native depth on Azure or AWS: Kubernetes, service mesh, IaC (Terraform), CI/CD.
• Experience shipping model updates safely in production: canaries, shadow evaluation, rollback triggers.
• Comfort with the full ML lifecycle: training pipelines, serving infra, monitoring, and cost management.
• Strong grasp of AI security fundamentals: PII handling, tenant isolation, prompt injection basics.
• Ability to communicate technical decisions clearly in async writing. This role is distributed across time zones and cannot be run on synchronous meetings alone.
• Fluent English language skills.

Requirements

• Domain experience in procure-to-pay, ERP integration, accounts payable, procurement, or adjacent finance and operations software.
• Experience at a product company or PE-backed B2B SaaS, ideally on an internal platform team.
• Contributions to open-source AI/ML infrastructure projects.
• Experience with agent frameworks (LangGraph, AutoGen, CrewAI, or custom orchestration) in production.
• Prior experience on a founding platform team where you shipped v1 of a service used by multiple internal customers.

Benefits

• This position may work from home and/or office environment.
• Working in an office environment may require prolonged sitting, work in an air-conditioned environment, ability to work with others at various noise levels and ability to lift up to 30 pounds or 15 kg.

Equal Employment Opportunity Statement

PairSoft is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.