Senior AI Engineer - Data Agents & Production (Remote)

True Talent Solutions Partners

United States

Remote

USD 200,000 - 320,000

Full time

4 days ago
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Benefits offered by this job

Visa sponsorship

Job summary

True Talent Solutions Partners is seeking a software engineer to help build AI-powered experiences for marketing and data workflows. You will prototype AI concepts, evaluate approaches, and collaborate with a compact team to ship new product ideas that form the basis for new lines.

You’ll participate in architectural decisions for AI systems, evaluate where different language models fit, and build production data agents to answer analytics questions using customer data.

Qualifications

  • Five to twelve years of software engineering experience building core products.
  • Experience building AI products beyond basic retrieval-augmented generation.
  • Strong backend engineering skills and a software engineering focus.
  • Experience as a product engineer in a fast-moving startup environment.
  • Strong CS or mathematics fundamentals with exposure to AI concepts.

Responsibilities

  • Rapidly prototype and evaluate AI concepts for data and marketing workflows.
  • Partner with a small team to develop and ship new product ideas, establishing foundations for new product lines.
  • Make architectural decisions for AI systems and assess where language models are most effective.
  • Build production data agents that answer analytics and data science questions using customer data.
  • Develop a deep understanding of user workflows and create smooth, AI-assisted product experiences.

Skills

AI product development
Backend engineering
Startup experience
Product intuition
Strong CS fundamentals

Job description

True Talent Solutions Partners is seeking a software engineer to help build AI-powered experiences for marketing and data workflows. You will prototype AI concepts, evaluate approaches, and collaborate with a compact team to ship new product ideas that form the basis for new lines.

You’ll participate in architectural decisions for AI systems, evaluate where different language models fit, and build production data agents to answer analytics questions using customer data.

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