Role OverviewWe are seeking a Junior AI/ML Engineer to support the development of an enterprise AI chatbot and data intelligence system. This role will focus on building interactive AI agents that connect to enterprise databases, generate insights, and support decision-making.The position includes hands-on work in both LLM-based chatbot/agent development and machine learning, including building prediction models and integrating them into production workflows. This is a client-facing technical role requiring strong coding ability, analytical thinking, and the ability to work in a fast-paced environment.Key ResponsibilitiesDevelop and deploy AI chatbot/agent solutions for enterprise use casesIntegrate LLM-based agents with structured and unstructured enterprise dataConnect chat interfaces to SQL/enterprise databases and internal APIsBuild and integrate machine learning models (prediction, classification, clustering, etc.)Perform data preprocessing, feature engineering, and model evaluationIntegrate ML outputs into chatbot or workflow interfacesSupport data pipeline development and automationCollaborate with internal team and occasionally clients to understand requirementsDocument model logic, workflows, and implementation detailsRequired QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative fieldStrong Python programming skillsHands-on experience with machine learning (regression, classification, clustering, or similar)Familiarity with ML libraries such as scikit-learn, pandas, numpy, or similarExperience working with databases (SQL, PostgreSQL, or similar)Familiarity with LLM APIs (OpenAI, Claude, or open-source models)Experience building APIs or backend services (FastAPI, Flask, or similar)Strong analytical and problem-solving skillsAbility to work independently and communicate clearlyPreferred QualificationsGraduate degree or currently pursuing MS in AI, Data Science, or related fieldExperience with agent frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, etc.)Experience deploying or integrating ML models into applicationsKnowledge of vector databases or embeddingsFamiliarity with AWS, GCP, or AzurePrior internship or project experience building AI/ML applicationsHow to ApplyPlease submit the following to danz@focuskpi.com: ResumeGitHub or portfolio that includes at least one agentic or AI chatbot projectA short written explanation (3–6 paragraphs) of one project, including: What problem the agent/chatbot solvesArchitecture and tools used (LLM, framework, database, etc.)Your specific contributionChallenges encountered and how you solved themCandidates without project examples or explanation will not be considered. Immediate start preferred.
