Applied AI Engineer: Agentic Aviation Systems (Hybrid)

Beacon AI; San Carlos; Hybrid; ARS 212,221,000 - 318,331,000; Full time

Benefits offered by this job

Healthcare coverage

PTO and holidays

401(k) retirement plan

Job summary

Beacon AI is building AI-powered, production-grade systems for aviation decision support. You will design agentic architectures, balance tool use with planning, and translate complex information into reliable, scalable software solutions. The role emphasizes rigorous evaluation, production readiness, and collaboration with domain experts.

The team values deep technical understanding, independent judgment, and strong communication skills, with a hybrid work setup based in the United States.

Qualifications

• Strong software engineering fundamentals.
• Substantive applied AI experience.
• Information modeling instincts.
• Experimental discipline.
• Independent technical judgment.
• Clear communication.

Responsibilities

• Design and implement agent architectures involving tool use, planning, orchestration, memory and state management.
• Develop effective retrieval, knowledge representations and context engineering strategies.
• Evaluate AI behavior with rigorous tests, datasets and failure analyses.
• Deploy production services with containerized workflows and cloud infrastructure.
• Collaborate with engineers and domain experts to translate complex requirements into working systems.

Skills

Software engineering

Applied AI

Info modeling

Experimentation

Independent judgment

Clear communication

Python

LangGraph

AWS Bedrock

PostgreSQL

Docker

Kubernetes

Tools

Python

LangGraph

AWS Bedrock

PostgreSQL

Docker

Kubernetes

Job description

Beacon AI is building AI-powered, production-grade systems for aviation decision support. You will design agentic architectures, balance tool use with planning, and translate complex information into reliable, scalable software solutions. The role emphasizes rigorous evaluation, production readiness, and collaboration with domain experts.

The team values deep technical understanding, independent judgment, and strong communication skills, with a hybrid work setup based in the United States.