Ai Ml Engineer for Internal Platforms Remote
Overview
Remote role building and refining an AI recruiting agent with production-ready features. You’ll push newer capabilities, test cutting edge LLMs and agent frameworks, and deploy AI-powered services that improve reliability and usefulness. Expect collaboration with product and engineering to ship tangible enhancements. You will work on backend Python services and keep pace with evolving AI tools and practices. Bold technologies: Python, LLMs, LangChain and AWS.</br>
What You'll Do7
- 1Enhance AI agent capabilities using modern language models and related tooling.
- 2Build and maintain backend services and APIs in Python to support AI features.
- 3Experiment with prompts, workflows, retrieval augmented generation, and agent orchestration to raise quality.
- 4Assess model performance through controlled experiments and implement improvements based on results.
- 5Collaborate with product and engineering teams to deliver AI-powered features in production.
- 6Deploy scalable AI systems and monitor them in a live environment to ensure reliability.
- 7Stay current with the latest AI models, tools, and best practices to inform development decisions.
Requirements6
- 1Strong Python software engineering experience.
- 2Hands-on background building apps that use LLMs and AI APIs.
- 3Familiarity with agent frameworks such as LangChain, LangGraph, or LlamaIndex.
- 4Experience creating APIs using FastAPI or comparable frameworks.
- 5Cloud platform experience (AWS, GCP, or Azure).
- 6Solid problem-solving skills with an experimental mindset and strong communication.
Who Should Apply
The ideal candidate has proven Python development experience and a track record shipping AI-powered features or agents. They should be comfortable designing and evaluating prompts, working with LLMs, and deploying services in production. This role may be less suitable for someone without hands-on experience with AI agents, or who lacks cloud exposure and collaboration with product teams. Common fit checks include familiarity with RAG, tool calling, prompt engineering, and a proactive approach to experimentation.
Salary Insight
Pay is $160 - $300 per hour. Location is remote. Pay details are discussed during the offer process.
Location
Required Skills
Application Tip
Highlight a production AI feature you built or contributed to, including metrics (latency, accuracy, user impact) and the exact framework stack (LangChain, FastAPI, AWS) to raise your fit score.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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