Particle41 - AI Engineer
Requirements
• 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 • 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 ) • Empowering, Leadership, Innovation, Teamwork, • Excellence • 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. • 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.
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.
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