Junior AI/ML Engineer
Lensa
Job Overview
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Job Description
Junior AI/ML Engineer at Lensa
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: Immediate
Role Overview
We 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 Apply
Please submit the following to danz@focuskpi.com:
- 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.
Key skills/competency
- AI Chatbot Development
- Machine Learning
- Python Programming
- SQL Databases
- LLM APIs
- Data Preprocessing
- Model Evaluation
- API Development
- Analytical Thinking
- Agent Frameworks
How to Get Hired at Lensa
- Research FocusKPI Inc.'s culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for FocusKPI: Highlight your AI/ML expertise, strong Python skills, and experience with SQL and LLM APIs.
- Showcase AI chatbot projects: Develop and present a compelling portfolio demonstrating practical experience with agentic or AI chatbot solutions.
- Prepare project explanations: Be ready to detail your projects, including architecture, tools, personal contributions, and problem-solving approaches for FocusKPI.
- Master technical concepts: Review machine learning algorithms, database interactions, and API development for FocusKPI's interview process.
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