Sr. AI Engineer

bout Centric Software  /p

Centric Software® is a global leader, providing an innovative and AI-enabled product‑concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best‑of‑breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products. Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever‑changing market.  

/p

Our story is one of rapid growth, bold ideas and extraordinary opportunities. We’re here to challenge the status quo—and we’re looking for brilliant people who want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional.  /pSenior AI Engineer - AWS SaaS | Production RAG | AI Agents | AI-Augmented Engineering  p bLocation: /b US, Canada or India  /p

bCompensation: /b $180,000 - $210,000 USD (based on location)  /p

Job Summary  pWe are seeking a Senior AI Engineer to design, build, and operate production‑grade AI systems within our enterprise, multi‑tenant SaaS platform.  /p

This is a hands‑on engineering role for a senior SaaS architect who has evolved into an applied AI systems builder. You will architect and ship reliable, scalable AI capabilities used by enterprise customers in production environments.  /p

This is  bnot /b a research role.  /p

This is  bnot /b a prototype‑only position.  /p

This is a production AI systems engineering role embedded in a mature SaaS platform.  /pRequirements Architect & Deliver Production AI Systems

• Design and deploy Retrieval‑Augmented Generation (RAG) systems integrated with enterprise data
• Build hybrid search pipelines combining lexical (BM25) and semantic retrieval
• Implement cross‑encoder reranking to improve relevance and precision
• Develop structured AI agents with controlled, deterministic tool execution
• Continuously improve retrieval quality, task success rates, and system reliability

• Develop AI services using AWS Lambda
• Orchestrate AI workflows using AWS Step Functions
• Design deterministic state machines with robust retry, timeout, and idempotency strategies
• Ensure systems are scalable, cost‑efficient, observable, and production‑ready

• Design and maintain evaluation pipelines for AI systems
• Establish golden datasets and measurable quality benchmarks
• Monitor retrieval performance, latency, cost, and system health
• Improve AI reliability through disciplined iteration and measurement

• Build backend AI services in Python
• Deliver AI‑powered user experiences in React + Type Script
• Integrate AI workflows into enterprise‑grade SaaS applications

• Contribute reusable AI platform components
• Mentor engineers in applied AI system design
• Promote disciplined, measurable AI engineering practices

• 10+ years of professional software engineering experience
• Proven experience building and operating AWS‑based SaaS platforms
• Strong background in:
  • Serverless architectures
  • Microservices
  • Multi‑tenant enterprise systems
• Backend expertise in Python
• Full‑stack capability with React + Type Script
• Deep experience with Postgre
  
  SQL, including:
  • Performance tuning
  • Indexing strategies
  • Full‑text search

• 2–4+ years building production AI systems
• Hands‑on experience delivering multiple production RAG systems
• Experience implementing hybrid search systems combining:
  • BM25 (or equivalent lexical ranking)
  • Semantic retrieval using embeddings
  • Reranking techniques
• Experience building AI agents with structured tool invocation
• Experience designing evaluation frameworks and measurable AI quality systems

• Hallucination mitigation strategies
• Prompt injection defense
• Safe tool execution
• Deterministic workflow design

We expect hands‑on production experience with many of the following (or strong equivalents):

• Llama Index, Lang Chain, or similar frameworks

• Postgre
  
  SQL + pgvector (or…