AI/ML Engineer - Remote, Flexible Hours, Learning Budget

SaaSify Labs; Austin (TX); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible schedule

Async-first culture

Learning budget

Job summary

SaaSify Labs seeks an AI/ML Engineer to lead AI features from LLM integrations to production ML pipelines. You will collaborate with the engineering team to ship AI systems that deliver real value for clients.

Expect to design and deploy ML models, build RAG pipelines with vector databases, and optimize costs and latency in production. Requirements include 3+ years of production ML/AI experience, strong Python, and experience with OpenAI or similar LLM APIs, LangChain, and vector databases.

Qualifications

• 3+ years production ML/AI engineering experience.
• Proficient in Python.
• Experience with OpenAI or similar LLM APIs.
• LangChain or equivalent framework experience.
• Vector database experience (Pinecone, Chroma, etc).
• Understanding of transformer models and fine-tuning.
• Experience deploying ML models to production.
• Strong Python and API development skills.

Responsibilities

• Design and implement LLM-powered features using OpenAI, Anthropic, or open-source models.
• Build RAG pipelines with vector databases.
• Integrate LangChain or similar frameworks for AI workflows.
• Build and deploy ML models for classification, recommendation, or NLP tasks.
• Optimize AI costs, latency, and reliability in production.
• Collaborate with backend engineers to expose AI capabilities via APIs.
• Stay current with AI research and apply relevant findings.
• Document AI system designs and prompt engineering decisions.

Skills

Python

LLM APIs

LangChain

Vector databases

API development

Production ML

Cloud/DevOps

Tools

OpenAI API

Pinecone

Chroma

Weaviate

Job description

SaaSify Labs seeks an AI/ML Engineer to lead AI features from LLM integrations to production ML pipelines. You will collaborate with the engineering team to ship AI systems that deliver real value for clients.

Expect to design and deploy ML models, build RAG pipelines with vector databases, and optimize costs and latency in production. Requirements include 3+ years of production ML/AI experience, strong Python, and experience with OpenAI or similar LLM APIs, LangChain, and vector databases.