AI/ML Engineer, Internal Platforms
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Job Description
AI/ML Engineer building production-ready LLM agents and Python APIs for a recruiting technology client. Improving RAG workflows, orchestration, and AI system reliability.
Responsibilities:
- Design, build, and improve AI agent capabilities using modern LLMs
- Develop scalable backend services and RESTful APIs using Python
- Build and optimize prompt workflows, retrieval-augmented generation (RAG), and AI agent orchestration
- Experiment with emerging AI models, frameworks, and technologies
- Evaluate model performance, reliability, and output quality
- Collaborate with engineering and product teams to develop and deploy AI-powered features
- Deploy, monitor, and maintain scalable AI systems in production environments
- Improve the accuracy, efficiency, and reliability of AI applications
- Stay current with advancements in generative AI, machine learning, and agent-based architectures
Requirements:
- Strong software engineering experience with Python
- Hands-on experience developing applications powered by large language models (LLMs)
- Experience integrating AI APIs and building intelligent applications
- Familiarity with LangChain, LangGraph, LlamaIndex, or similar AI agent frameworks
- Experience developing backend APIs using FastAPI or comparable technologies
- Experience with cloud infrastructure, preferably AWS, GCP, or Azure
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent communication and cross-functional collaboration skills
- Ability to work independently in a fast-paced, remote engineering environment
- Preferred: Experience deploying production-ready AI agents or generative AI products
- Preferred: Knowledge of retrieval-augmented generation (RAG), tool calling, prompt engineering, and model evaluation
- Preferred: Experience designing multi-step AI workflows and agent orchestration systems
- Preferred: Contributions to open-source AI projects or development of independent AI applications
- Preferred: Familiarity with monitoring, evaluating, and optimizing production AI systems
- Preferred: Experience working in AI-first technology organizations
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