Senior AI-Powered Full-Stack Engineer (Remote)

true-talent-solutions-partners

United States

Remote

USD 5,000 - 9,000

Full time

5 days ago
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Job summary

true-talent-solutions-partners is seeking an experienced software engineer to join an early-stage team building AI-powered transportation and logistics software. You will own production features end to end, with a focus on voice and email agents that support high-stakes freight workflows.

You will work on end-to-end scope, deployment, and monitoring; build speech pipelines, LLM orchestration, evaluation systems, and retrieval/reranking.

Qualifications

  • 5+ years of professional software engineering experience with end-to-end ownership of production software across the stack.
  • Hands-on experience taking LLM features to production, including architecture, tool-calling, and retrieval, plus evaluation and testing of AI systems.
  • Experience shipping with React, Next.js, Supabase, and Python.
  • Familiarity with agent or voice tooling such as Pipecat, LangChain, LiveKit, or equivalent tools.

Responsibilities

  • Scope problems with customers, build across the stack, deploy features, and monitor their production performance.
  • Develop voice and email agents, including speech pipelines, LLM orchestration, and deterministic safeguards for prices, terms, and actions.
  • Create evaluation systems using golden datasets, regression checks, hallucination testing, and tool-call correctness checks.
  • Build retrieval and matching systems with embeddings and reranking, balancing cost, latency, and scale.
  • Instrument production systems and use observability and rollout strategies to operate software reliably.

Skills

Software engineering
LLM features to production
System design
Observability

Tools

React
Next.js
Supabase
Python
LangChain
LiveKit

Job description

true-talent-solutions-partners is seeking an experienced software engineer to join an early-stage team building AI-powered transportation and logistics software. You will own production features end to end, with a focus on voice and email agents that support high-stakes freight workflows.

You will work on end-to-end scope, deployment, and monitoring; build speech pipelines, LLM orchestration, evaluation systems, and retrieval/reranking.

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