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Unify
Unify
11 – 50 Darbuotojai
H1B vizos rėmėjasDirbtinis intelektasKonsultavimasRinkodara
Unify builds a sales and marketing platform for generating pipeline through warm outbound outreach. It combines data from more than ten sources with AI and automation to help teams spot buying signals, create personalized messages, and run automated outreach workflows. Analytics give teams a way to review campaign performance and refine their approach. Founded in 2023, Unify operates in marketing and artificial intelligence and has a team of 11–50 employees.
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Darbai įmonėje

Applied AI Engineer at Unify (Hybrid)

Build production AI agents for Unify’s AI-powered outbound platform. Develop dependable LLM workflows for account research, opportunity discovery, and go-to-market execution.

USJungtinės ValstijosCAKalifornijaNYNiujorkas
250 000 $ – 320 000 $ / metai
HibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDirbtinio intelekto inžinieriusMašininio mokymosi inžinierius
PythonTypeScript

Aprašymas

  • Design agent frameworks with execution loops, tool interfaces, context, and memory.
  • Turn customer problems into working AI features and deliver them end to end.
  • Connect agents to Unify’s data, integrations, and workflow systems.
  • Create evaluations based on real customer tasks.
  • Improve agent behavior through execution traces and failure analysis.
  • Take ownership of production reliability, latency, and operating costs.
  • Make long-running tasks resumable and manage tool failures.
  • Give users clear visibility into and control over agent actions.
  • Evaluate models, prompts, retrieval methods, and orchestration patterns.
  • Develop reusable tools and sound engineering practices.
  • Work with product and design to prioritize work that benefits customers.
  • Collaborate with product, design, and engineering to build agents that research accounts, find opportunities, and carry out go-to-market workflows.
  • Bring prototypes into customer use and improve them using evaluations and execution traces.

Reikalavimai

  • At least three years of software engineering experience.
  • Practical experience delivering LLM applications or agents to production.
  • Experience building systems with tool calling, multi-step execution, and evaluations.
  • Strong TypeScript or Python programming skills.
  • Experience developing backend systems and integrating APIs.
  • Ability to own a feature across the stack.
  • Ability to define success, run experiments, investigate failures, and use evidence to guide development.
  • Ability to turn broad product ideas into deployed solutions.
  • Shows initiative, learns quickly, and works collaboratively.
  • Comfort working with ambiguity.
  • Willingness to work onsite at the San Francisco or New York City office.

Privalumai

  • Equity

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