AI Engineer

Particle41 is driven by its core values of Empowering, Leadership, Innovation, Teamwork, and Excellence (ELITE). The company is committed to enabling individuals to reach their full potential, taking initiative, embracing creativity, collaborating with empathy, and striving for the highest quality in all endeavors. Particle41 fosters an inclusive environment, providing equal employment opportunities based on merit and qualifications.

Introduction

As an AI Engineer at Particle41, you will be instrumental in designing, developing, and deploying machine learning and deep learning models, including generative AI solutions, to tackle complex business challenges. This role involves close collaboration with data scientists, data engineers, software engineers, and client stakeholders, focusing on building scalable pipelines, ensuring production readiness, monitoring performance, and iterating proactively.

Responsibilities

• Lead the end-to-end development of AI/ML models, from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
• Build generative AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) that align with business objectives.
• Collaborate with data engineering teams to construct and maintain data pipelines, feature stores, and orchestration frameworks.
• Develop and integrate AI models into production systems using APIs, microservices, and cloud deployments.
• Optimize models and solutions for performance, scalability, robustness, and cost-efficiency.
• Monitor the performance of models and solutions in production (e.g., for drift, bias, fairness, reliability) and implement necessary remediations.
• Document model design, experiments, data provenance, and solution rationale.
• Stay updated with the latest AI/ML research, frameworks, and tools (e.g., LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit) and propose innovative ideas.
• Work directly with clients to understand problem statements, translate business requirements into AI solutions, and effectively communicate results.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a 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 in building or fine-tuning Large Language Models (LLMs).
• Proficiency in deploying models into production, including building REST APIs, microservices, and monitoring systems.
• Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia, etc.
• Strong understanding of algorithms, data structures, statistics, and machine learning fundamentals (classification, regression, clustering, deep learning, sequence models).
• Ability to thrive in a fast-paced, dynamic environment and adapt to evolving priorities.

Nice to Have

• Experience in computer vision, time-series modelling (ARIMA, Prophet), or multimodal AI.
• Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
• Publications, open-source contributions, or personal projects in the AI/ML domain.

About Company

Particle41 is driven by its core values of Empowering, Leadership, Innovation, Teamwork, and Excellence (ELITE). The company is committed to enabling individuals to reach their full potential, taking initiative, embracing creativity, collaborating with empathy, and striving for the highest quality in all endeavors. Particle41 fosters an inclusive environment, providing equal employment opportunities based on merit and qualifications.