Software Engineer, Artificial Intelligence​/LLM

# Staff Software Engineer, Artificial Intelligence/LLMBeacon AISan Carlos - Hybrid Full-time $224,000 – $260,000 / yearAI tools:

LangChainAWS Bedrock

OpenAIAnthropic

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You’ll build and operate LLM-powered features for Beacon AI’s aviation safety platform, from retrieval and tool-calling services to evaluations and production monitoring. The role sets technical direction across teams and focuses on reliability, safety, and performance in a safety-critical domain.
* Full-time
* Hybrid* 8+ years### Skills and expertise

Python Type Script Lang Chain AWS Bedrock Open Searchpgvector Pinecone RAG and vector search### Key responsibilities
* Build user-facing LLM features, including retrieval, tool-calling, validation, and fallback flows.
* Develop service APIs and workers, and tune caching, latency, and request costs.
* Create evaluations, production metrics, safety guardrails, and observability for deployed systems.## How this job compares

Compared with 94 open staff machine learning jobs on October 10, 2026.Pay:
This job pays $224K to $260K a year. The 56 open staff machine learning jobs that publish US pay start at $219K on average, so this job starts in line with them.

Similar open jobs:
We Love AI Jobs lists 94 open staff machine learning jobs at 53 companies.

Remote work:
This job is hybrid. 16 of the 94 staff machine learning jobs (17%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. Building, evaluating, and operating LLM-powered product features is the core of the role. The posting specifically names retrieval-augmented generation, model integrations, tool-calling, and production evaluation.## Full description

About Beacon AIWe’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.

You will ship LLM-powered product features end-to-end. That means designing retrieval and tool-calling flows, writing the services that run them, building evals and guardrails, and watching cost, latency, and quality in production. You’ll partner with the ML/infra teammates on embeddings, indexing, and model hosting, and with the product teammates on user experience and outcomes. We move fast, and we care about reliability in a safety-critical domain.

This role is for engineers who set technical direction across services and teams (8+ years experience, with a track record of owning systems or defining standards others build against). You'll lead design for ambiguous, cross-team problems like provider routing or shared retrieval infra.

What you’ll do Build user-facing LLM features
• Design and implement retrieval-augmented generation and tool-calling flows using frameworks like Lang Chain or equivalent primitives, where simpler is better.
• Deliver robust JSON and schema-bound outputs with validation, retries, and fallbacks.
• Add function calling to integrate with internal tools, search, routing, and data services.

Own the service layer
• Ship APIs and workers in Python or Type Script with clear contracts, streaming, and backoff.
• Add caching, request shaping, prompt templates, and context packing to control latency and cost.
• Integrate with AWS Bedrock, OpenAI, Anthropic, or self-hosted endpoints as needed.

Retrieval and data prep
• Collaborate with…