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
- Bachelors or Masters 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 emailprotected:
- Resume
- GitHub or portfolio that includes at least one agentic or AI chatbot project
- A short written explanation (36 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. FocusKPIs recruiting team will strictly reach out via @ email domain. If you have received fraudulent emails now or in the past please report it to .
The domain @ is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @.
Required Experience:
Junior IC
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 conne...
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
- Bachelors or Masters 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 emailprotected:
- Resume
- GitHub or portfolio that includes at least one agentic or AI chatbot project
- A short written explanation (36 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. FocusKPIs recruiting team will strictly reach out via @ email domain. If you have received fraudulent emails now or in the past please report it to .
The domain @ is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @.
Required Experience:
Junior IC
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