AI/ML Engineer

MovementSoft; United States; Hybrid; USD 28,000 - 44,000; Full time

Benefits offered by this job

Remote or hybrid work in Manila

Top of market compensation

Budget for AI tools and hardware

Quarterly team offsites

Job summary

MovementSoft is seeking an experienced ML/backend engineer to turn LLM prototypes into reliable features. You will own agent workflows, retrieval pipelines, evaluation, and production integration with a focus on quality, latency, and cost.

This role offers remote or hybrid work based in Manila, with top-of-market compensation and a budget for AI tools and hardware. You will collaborate with product engineers to deliver safe, scalable AI capabilities across client platforms.

Qualifications

• 4+ years in ML or AI backend development.
• Experience with production LLM APIs and vector search.
• Strong Python/TypeScript engineering skills.
• Knowledge of data privacy and safety.

Responsibilities

• Design and ship LLM features, including agents, retrieval-augmented generation pipelines, and structured data extraction.
• Build evaluation harnesses and regression suites to track model behavior.
• Measure cost, latency, and output quality, then tune models and prompts based on results.
• Partner with product engineers to integrate AI capabilities safely into client platforms.

Skills

Python

TypeScript

LLM back-end

Tools

LLM APIs

Embeddings

Vector search

Job description

Role overview

Turn LLM prototypes into dependable product features that work with real users and data. The role spans agent workflows, retrieval systems, evaluation, and production integration, with a focus on understanding and improving quality, latency, and cost.

Responsibilities

• Design and ship LLM features, including agents, retrieval-augmented generation pipelines, and structured data extraction.
• Build evaluation harnesses and regression suites to track model behavior.
• Measure cost, latency, and output quality, then tune models and prompts based on results.
• Partner with product engineers to integrate AI capabilities safely into client platforms.

Requirements

• At least four years of experience in machine learning or AI-focused backend engineering.
• Production experience with LLM APIs, embeddings, and vector search.
• Strong engineering skills in Python or TypeScript.
• A rigorous approach to evaluation and systems design under uncertainty.
• Awareness of data privacy and safety, with the ability to document model behavior and limitations.

Nice to have

• Experience with fine-tuning, evaluation frameworks, or MLOps.

Benefits and work setup

• Remote or hybrid work based in Manila, with flexible hours.
• Compensation described as top of market, plus a budget for AI tools and hardware.
• Quarterly team offsites and direct access to clients and decision makers.