Note: The job is a remote job and is open to candidates in USA. Particle41 is a company focused on empowering leadership and innovation in teamwork. As an AI Engineer, you will design, develop, and deploy machine-learning models to solve complex business problems while collaborating with various teams and ensuring production readiness.
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 (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
- 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
Company Overview
Company H1B Sponsorship