Production AI Engineer (LLM) for Web Apps

Softadom; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Softadom is seeking an applied AI engineer to embed language models into our production web software, turning demos into scalable, user‑facing features. You will ship LLM‑backed capabilities across backend and frontend surfaces, tackling latency, cost, and guardrails as engineering problems with measurable outcomes.

You'll define evaluation metrics, instrument pipelines with structured logging, and collaborate with security and platform teams on data handling, privacy, and reliability to ensure

Qualifications

• Strong Python skills with hands-on shipping LLM-backed features.
• Experience across a web stack (backend framework + modern frontend framework).
• Familiarity with vector stores and retrieval patterns.
• Hands-on prompt engineering treated as measurable discipline.
• Collaborating with data privacy and reliability concerns with cross-functional teams.

Responsibilities

• Embed language models into backend and frontend product surfaces.
• Define guardrails, metrics, and quality benchmarks beyond anecdotal checks.
• Optimize latency, throughput, and provider spend as usage scales.
• Instrument pipelines with structured logging for traceability.
• Collaborate with security and platform teams on data handling and failure modes.

Skills

Python

Web stack

Frontend framework

Backend framework

Vector stores

Retrieval patterns

Background jobs

Prompt engineering

Cross-functional collaboration

Tools

Vector DBs

Model deployment tools

Job description

Softadom is seeking an applied AI engineer to embed language models into our production web software, turning demos into scalable, user‑facing features. You will ship LLM‑backed capabilities across backend and frontend surfaces, tackling latency, cost, and guardrails as engineering problems with measurable outcomes.

You'll define evaluation metrics, instrument pipelines with structured logging, and collaborate with security and platform teams on data handling, privacy, and reliability to ensure