Junior AI/ML Engineer
Lensa
Job Overview
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Job Description
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
Key skills/competency
- AI Chatbot Development
- Machine Learning
- Python Programming
- LLM APIs
- SQL Databases
- API Development
- Data Preprocessing
- Model Evaluation
- 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 AI/ML: Highlight Python, ML, LLM, and database experience specifically for the Junior AI/ML Engineer role.
- Showcase your projects: Prepare a GitHub or portfolio with agentic/chatbot projects and a detailed explanation of one.
- Ace the technical interview: Be ready to discuss machine learning concepts, Python coding, and database interactions.
- Emphasize problem-solving: During interviews, articulate your analytical and problem-solving approach clearly for complex AI challenges.
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