AI/ML Cloud Engineer(Short Term Assignment(Internship)) - Current Pursuing Masters(Highly Preferred)

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

About

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 public-sector technology.

Position Summary

The AI/ML Graduate Intern will support the development, enhancement, and testing of OCP and AI Compass capabilities. This includes building cloud-native conversational applications, agent-driven workflows, and intelligence services using AWS, large language models, and modern programming stacks.

Ideal candidates will have strong foundational programming experience, applied AI coursework, and a passion for building real-world solutions that improve citizen experiences and government service delivery.

Key Responsibilities

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.
• Participate in RAG (Retrieval-Augmented Generation) pipeline design, vector embeddings, and knowledge base management.

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.
• Contribute to CI/CD, code reviews, unit testing, and DevSecOps best practices.

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.

HHS / Government System Exposure

• Work alongside experts in Medicaid, SNAP, TANF, Workforce Services, and other program domains.
• Contribute to modernization initiatives that help improve government benefit delivery.

Required Qualifications

Academic Background

• Master s student pursuing:

• Artificial Intelligence
• Data Science
• Computer Science
• Information Systems
• or related technical field.

Required Skills

Candidates must have at least 3 years of cumulative programming experience (including academic, internship, research, or industry), including:

• Strong experience in Java, C#, Python, or modern scripting languages.
• Solid understanding of databases (SQL or NoSQL).
• Experience building web applications or backend systems.
• Minimum 2 years of hands-on AWS experience, covering services such as:

• Lambda, S3, API Gateway, DynamoDB/RDS
• IAM, VPC basics
• Bedrock, Lex, Connect (preferred but not required)

AI/ML Knowledge

• Familiarity with language model concepts, LLM prompt design, model behaviors, and safe use considerations.
• Practical exposure through academic or project work involving machine learning, NLP, or statistical modeling.

Preferred Skills

• Experience working with LLMs in development environments (e.g., building apps using OpenAI, Bedrock, HuggingFace, or LangChain).
• Prior experience in public-sector or HHS systems (Medicaid, SNAP, TANF, eligibility systems).
• Knowledge of case management, workflow engines, or enterprise-scale data systems.
• Familiarity with modern DevOps tools (GitHub, containerization, CI/CD pipelines).

Professional Skills

• Strong analytical and problem-solving capabilities.
• Excellent communication and documentation skills.
• Ability to work in an iterative, Agile/Scrum environment.
• Self-driven, eager to learn, and comfortable working with minimal supervision.

What We Offer

• Exposure to real-world AI/ML applications in a high-impact government domain.
• Hands-on work with AWS cloud, large-scale data systems, conversational AI, and multi-channel platform engineering.
• Mentorship from senior architects, cloud engineers, and AI specialists.
• Flexible part-time hours to align with academic requirements.
• Pathway to full-time employment based on performance.
• Opportunity to contribute to systems that directly improve citizen engagement, benefit aCcess, and public service delivery across the U.S.

How to Apply

Interested students should submit the following:

• Resume
• Short summary of relevant University coursework and any AI/ML projects
• GitHub or portfolio links (if available, highly preferred)
• Brief cover note explaining interest in AI/ML and cloud-based platform development