AI Engineer
Particle412 months ago
Remote, United StatesMid Level
Responsibilities
- Lead the end-to-end development of AI/ML models from data ingestion and preprocessing through training, evaluation, deployment, and monitoring.
- Build generative-AI solutions including RAG systems, agentic workflows, MCP servers, and conversational AI agents.
- Collaborate with data engineering teams to build and maintain data pipelines, feature stores, and orchestration frameworks.
- Integrate AI models into production systems and optimize solutions for performance, scalability, robustness, and cost efficiency.
- Monitor production models for drift, bias, fairness, and reliability and implement remediation.
- Document model designs, experiments, data provenance, and solution rationale.
- Work directly with clients to understand business problems, translate requirements into AI solutions, and communicate results.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- At least 3 years of hands-on experience developing and deploying AI/ML models.
- Strong Python programming skills and experience with TensorFlow, PyTorch, scikit-learn, LangChain, and LangGraph.
- Experience with vector databases such as Pinecone and FAISS, as well as RAG and agentic workflows.
- Experience building or fine-tuning large language models and deploying models into production.
- Experience with production APIs, microservices, and monitoring.
- Familiarity with text-to-speech and speech-to-text solutions such as Deepgram, ElevenLabs, and Cartesia.
- Experience in computer vision, time-series modeling such as ARIMA and Prophet, or multimodal AI.
- Familiarity with MLOps tools and frameworks such as MLflow, Kubeflow, and SageMaker.
- Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals.
- Publications, open-source contributions, or personal AI/ML projects are valued.
Categories