AI Engineer

Particle41; Oregon; Hybride; USD 130 000 - 180 000; Plein temps

Avantages offerts par ce poste

Equal employment opportunities

Résumé du poste

Particle41 seeks an AI Engineer to design, develop, and deploy ML/AI models, including generative AI solutions, in production. You will collaborate with data scientists, data engineers, software engineers, and client stakeholders to deliver scalable, robust AI systems.

You will lead end-to-end model development, integrate models into production, monitor performance, and drive innovation with LangChain, LangGraph, and other tools. A strong background in Python and ML frameworks is required.

Qualifications

• 3+ years of hands-on AI/ML model development and deployment.
• Proficiency in Python and major ML frameworks.
• Experience with LLMs, vector databases, and production APIs.

Responsabilités

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

Connaissances

Python

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

REST APIs

MLOps

Pinecone

FAISS

LLMs

Computer Vision

Time-series

Multimodal AI

Data structures

Statistics

Formation

Bachelor's or Master's in CS/Engineering

Outils

MLflow

Kubeflow

SageMaker

Description du poste

AI EngineerRole Overview:

As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively. In This Role, You Will:

• 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 (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas.
• Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results.

Skills and Experience We Value:

• 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, LangChain, LangGraph).
• Experience with vector databases (e.g., 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.
• Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc.
• Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.
• Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
• Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models).
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
• Publications, open-source contributions, or personal projects in the AI/ML domain.

About Particle41

Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )E - Empowering: Enabling individuals to reach their full potential. L - Leadership: Taking initiative and guiding each other toward success. I - Innovation: Embracing creativity and new ideas to stay ahead. T - Teamwork: Collaborating with empathy to achieve common goals. E - Excellence: Striving for the highest quality in everything we do.We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring.