Senior Full-Stack AI Engineer (Remote) — Context-Aware Agents

truelogic

United States

Remote

USD 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

100% Remote Work
Competitive USD Pay
Paid Time Off
Autonomy & ownership
Work with Top American Companies

Job summary

Truelogic's Senior Full-Stack AI Engineer will bridge architecture and implementation of an advanced context-aware AI agent platform, delivering end-to-end features across multi-channel conversations and persistent memory.

You will work hands-on with TypeScript, React, and PostgreSQL, crafting robust APIs, optimizing LLM workflows, and ensuring data privacy and observability in production environments while collaborating on high-impact projects for U.S. clients.

Qualifications

  • Experience with TypeScript, React, REST/GraphQL APIs, and PostgreSQL design.
  • Ability to build asynchronous background jobs and distributed queues.
  • Fluency in LLM/agent runtimes, tool calling, and retrieval architectures.
  • Proven track record turning product ideas into polished end-user interfaces.
  • Emphasis on data privacy, security, and observability.
  • Startup experience or multi-channel conversational tools is a plus.

Responsibilities

  • Architect and ship end-to-end features for a context-aware AI agent ecosystem.
  • Design robust REST/GraphQL APIs and performant PostgreSQL data models.
  • Build responsive React frontend interfaces tightly integrated with TypeScript backend services.
  • Implement, evaluate, and optimize LLM agent workflows, including prompt engineering and tool integration.
  • Maintain production reliability, observability, data privacy boundaries across complex user flows.

Skills

TypeScript
React
REST/GraphQL APIs
PostgreSQL
LLM/agent runtimes
Prompt engineering
Data privacy & security
System observability
Distributed background jobs

Job description

Truelogic's Senior Full-Stack AI Engineer will bridge architecture and implementation of an advanced context-aware AI agent platform, delivering end-to-end features across multi-channel conversations and persistent memory.

You will work hands-on with TypeScript, React, and PostgreSQL, crafting robust APIs, optimizing LLM workflows, and ensuring data privacy and observability in production environments while collaborating on high-impact projects for U.S. clients.

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