Position: AI/ML Cloud Engineer
Location: Remote / Hybrid (Based on candidate availability)
Engagement: Internship
Relevant Experience (Minimum) : 3 Years
Compensation : To be discussed on a case-to-case basis
eSystems is a leading systems integrator specializing in Health & Human Services (HHS) and WorkForce Services modernization for State and Local Government agencies. As part of our transformational AI Compass Program, we are developing next-generation, AI-powered, cloud-based capabilities including our Omni-Channel Platform (OCP)—a cloud-hosted solution integrating IVR, Chat, SMS, and Web channels using advanced GenAI and conversational intelligence tools.
We are seeking talented graduate students who want hands-on experience building real, production-grade AI/ML and cloud-native applications while working with senior engineers and architects on high-impact technology that improve citizen experiences and service delivery. Candidates may be considered for potential full-time employment and visa sponsorship based on performance.
Key Responsibilities
The AI/ML Graduate Intern will support the development, enhancement, and testing of OCP and AI Compass capabilities.
AI & Machine Learning (Core Responsibility Area)
- Assist in building and integrating GenAI components using AWS Bedrock (Claude, Llama, etc.).
- Develop prompt architectures, model evaluation scripts, and safe-use mechanisms including bias minimization, explainability, and testing frameworks.
Application & Cloud Engineering
- Develop and enhance backend services and microservices for OCP using Java, C#, Python, or similar languages.
- Build reusable APIs, AWS Lambda functions, and cloud integrations for multi-channel communication systems.
- Work on conversational flows using Amazon Lex, Bedrock Agents, Connect, and related cloud tooling.
Web & System Development
- Support front-end and middleware development for web applications.
- Assist with data processing pipelines, case-processing logic, and integration with relational or NoSQL databases.
Required Qualifications
The ideal candidates will:
- Be enrolled in or have completed a graduate degree with applied AI coursework in Computer Science, Data Science, Information Systems or related field, and have a passion for building real-world solutions.
- Have strong foundational programming experience, and hands-on exposure through academic or project work involving machine learning, NLP, or statistical modeling.
- Must have at least 3 years of cumulative programming experience (including academic, internship, research, or industry).
- Have strong experience in Java, C#, Python, or modern scripting languages.
- Have a solid understanding of databases (SQL or NoSQL).
- Have experience building web applications or backend systems.
- Have minimum 2 years of hands-on AWS experience, covering services such as Lambda, S3, API Gateway, DynamoDB/RDS, IAM, VPC basics, Bedrock, Lex, Connect
- Be familiar with language model concepts, LLM prompt design, model behaviors, and safe use considerations.
- Have experience working with LLMs in development environments (e.g., building apps using OpenAI, Bedrock, HuggingFace, LangChain, etc.
- Be familiar with modern DevOps tools (GitHub, containerization, CI/CD pipelines).
- Must be a quick learner, work with minimal supervision, and have excellent written and verbal communication skills.
How to Apply
Interested candidates should apply with resume highlighting relevant academic coursework and any AI/ML project experience.
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