Senior AI Engineer

DEEPREC.AI

$130K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5 years of software engineering experience
  • Strong backend and/or full-stack engineering fundamentals
  • Experience building production software products
  • Hands-on experience with LLMs, AI agents, RAG, or workflow orchestration
  • Strong product mindset for solving ambiguous customer problems
  • Comfortable collaborating with cross-functional teams
  • Excellent communication skills and high ownership

Responsibilities

  • Build and ship production LLM-powered product features
  • Design agentic workflows for complex business problems
  • Improve retrieval, reasoning, orchestration, and system reliability
  • Develop robust RAG pipelines and evaluation systems
  • Translate customer workflows into AI-native experiences
  • Ensure AI systems perform reliably in production
  • Investigate AI failure modes to enhance performance

Benefits

  • Work on AI products that directly impact enterprise customers
  • Tackle complex applied AI challenges, not just prototypes
  • Collaborate with experienced engineers in a dedicated AI environment
  • Possess high ownership with influence on product direction
  • Receive competitive salary and meaningful equity options
Full Job Description
They're looking for a Senior Engineer to join the team responsible for their flagship AI product, helping build production-grade AI systems that solve complex, real-world workflows where accuracy, reliability and trust are essential.

This is an opportunity to work on far more than prompt engineering-you'll design, build and scale agentic AI systems that customers depend on every day.

What you'll be working on

  • Building and shipping production LLM-powered product features
  • Designing agentic workflows capable of solving complex, multi-step business problems
  • Improving retrieval, reasoning, orchestration and AI system reliability
  • Developing robust RAG pipelines, tool-calling frameworks and evaluation systems
  • Partnering closely with product teams and domain experts to translate customer workflows into AI-native experiences
  • Building AI systems that perform reliably in production-not just impressive demos
  • Investigating AI failure modes and continuously improving model performance and user experience
  • Collaborating with platform engineers to improve observability, scalability and reliability


We're looking for someone with

  • 5 years of software engineering experience
  • Strong backend and/or full-stack engineering fundamentals
  • Experience building production software products
  • Hands-on experience with LLMs, AI agents, RAG, workflow orchestration or AI-enabled applications
  • Strong product mindset with the ability to solve ambiguous customer problems
  • Comfortable working cross-functionally with engineers, product managers and domain experts
  • High ownership and excellent communication skills
Nice to have

  • Experience building production LLM applications at scale
  • Experience with agent frameworks, retrieval systems, evaluation frameworks or tool-calling architectures
  • Experience working in regulated or high-trust industries such as financial services, legal technology, compliance or enterprise SaaS
  • Experience building AI products around complex document workflows
  • Previous startup experience in a fast-paced engineering environment
Why this opportunity?

  • Build AI products used by real enterprise customers every day
  • Solve genuinely difficult problems in applied AI-not experimental prototypes
  • Work alongside experienced engineers in an AI-native company
  • High ownership with direct influence over the product roadmap
  • Competitive salary, meaningful equity and significant technical impact from day one

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