Particle41
AI Engineer
USA - Remote
Sponsorship not specifiedDetected 25 days ago
PythonData StructuresAlgorithmsVector DatabasesRESTMachine LearningDeep LearningTensorFlowPyTorchscikit-learnData EngineeringData ScienceComputer VisionLLMsRAGAgentic AIMLOpsLangGraphStatisticsResearchLeadership
About the role
- Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas.
Responsibilities
- 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.
- Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals.
- Monitor models/ solutions' performance in production (drift, bias, fairness, reliability) and implement remediation.
- Document model design, experiments, data provenance and solution rationale.
- Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients.
Requirements
- Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc.
- Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
- Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
Skills
- Optimize models/solutions for performance, scalability, robustness and cost-efficiency.
- 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).
- Skills and Experience We Value:
Benefits
- Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.
- Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models).
- 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.
Company info
- 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.
- We appreciate your interest and encourage applicants from these regions to apply.
- If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.
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