Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for FocusKPI Inc.. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.Location: Remote (EST preferred)Type: Paid Internship or Contract (Full-time)Start Date: ImmediateRole 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 Responsibilities
Develop and deploy AI chatbot/agent solutions for enterprise use cases
Integrate LLM-based agents with structured and unstructured enterprise data
Connect chat interfaces to SQL/enterprise databases and internal APIs
Build and integrate machine learning models (prediction, classification, clustering, etc.)
Perform data preprocessing, feature engineering, and model evaluation
Integrate ML outputs into chatbot or workflow interfaces
Support data pipeline development and automation
Collaborate with internal team and occasionally clients to understand requirements
Document model logic, workflows, and implementation details
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
Strong Python programming skills
Hands-on experience with machine learning (regression, classification, clustering, or similar)
Familiarity with ML libraries such as scikit-learn, pandas, numpy, or similar
Experience 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 skills
Ability to work independently and communicate clearly
Preferred Qualifications
Graduate degree or currently pursuing MS in AI, Data Science, or related field
Experience with agent frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, etc.)
Experience deploying or integrating ML models into applications
Knowledge of vector databases or embeddings
Familiarity with AWS, GCP, or Azure
Prior internship or project experience building AI/ML applications
How to ApplyPlease submit the following to [email protected] :
Resume
GitHub or portfolio that includes at least one agentic or AI chatbot project
A short written explanation (3–6 paragraphs) of one project, including:
What problem the agent/chatbot solves
Architecture and tools used (LLM, framework, database, etc.)
Your specific contribution
Challenges encountered and how you solved them
Candidates without project examples or explanation will not be considered.Immediate start preferred.NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.Powered by JazzHRIf you have questions about this posting, please contact [email protected]
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Seniority level
Internship
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Internet Publishing