Generative AI & Production ML Engineer

Particle41; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Particle41 is seeking an AI Engineer to design, develop, and deploy ML and DL models, including generative AI solutions, addressing complex business problems. You will collaborate with data scientists, data engineers, software engineers, and client stakeholders to build scalable pipelines and production-ready systems.

Key responsibilities include leading end-to-end model development, building RAG/conversational AI solutions, and optimizing for performance and cost.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of hands-on experience in AI/ML model development and deployment.
• Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with vector databases (Pinecone, FAISS), RAG and Agentic workflows.
• Experience building or fine-tuning Large Language Models (LLMs).
• Experience deploying models into production: building REST APIs, microservices and monitoring.

Responsibilities

• Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring.
• Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals.
• Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks.
• Develop and integrate AI models into production systems (APIs, microservices, cloud deployments).
• Optimize models/solutions for performance, scalability, robustness and cost-efficiency.
• Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation.
• Document model design, experiments, data provenance and solution rationale.
• Stay abreast of latest AI/ML research, frameworks, tools and propose innovative ideas.
• Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results.

Skills

Python programming

Data analysis

ML model development

Production deployment

Team collaboration

Problem solving

Education

Bachelor’s or Master’s degree in CS/Engineering/Data Science

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

Pinecone

FAISS

REST APIs

microservices

SageMaker

Job description

Particle41 is seeking an AI Engineer to design, develop, and deploy ML and DL models, including generative AI solutions, addressing complex business problems. You will collaborate with data scientists, data engineers, software engineers, and client stakeholders to build scalable pipelines and production-ready systems.

Key responsibilities include leading end-to-end model development, building RAG/conversational AI solutions, and optimizing for performance and cost.