AI ENGINEERING & RESEARCH INTERN | AMERICAS
Cenergy International Services (CIS) | Greater Boston Area
DURATION 90 Days
LOCATION Boston Seaport office (on-site)
OPENINGS 1-2
INTERNSHIP ASSIGNMENT DESCRIPTION
Cenergy International Services is seeking one or two technically strong and curious AI Engineering & Research Interns to support technical projects for Shell TechWorks (STW). Working alongside the software team, interns will research, evaluate, prototype, and apply emerging AI technologies to real engineering challenges.
This is not a purely academic research role. Interns will move from research and experimentation to practical prototypes and recommendations, helping identify where AI can create value across software engineering, testing, automation, and product development. The ideal candidate combines curiosity and technical strength with practical engineering judgment around accuracy, reliability, cost, performance, risk, and business value.
RESPONSIBILITIES
Research & Technology Scouting
" Research modern AI architectures, tools, vendors, and potential technology partners.
" Evaluate LLMs, multi-agent systems and orchestration, retrieval-augmented generation (RAG), AI-assisted software development and testing, and AI evaluation/harness engineering.
" Identify technologies or approaches that warrant deeper experimentation.
Experimentation & Prototyping
" Design practical AI experiments and build prototypes; assess accuracy, reliability, cost, performance, and usefulness.
" Explore AI-assisted code generation, feature development, documentation, mockups, and workflow automation.
" Investigate methods for reviewing and validating AI-generated code, including test automation, regression testing, and quality assurance.
" Help determine whether AI-enabled software behaves consistently, meets intended requirements, and is useful for practical engineering applications.
Software Quality & AI Evaluation
" Investigate methods for safely reviewing and validating AI-generated code.
" Support product testing, test automation, regression testing, and quality assurance.
" Explore evaluation approaches for determining whether AI-enabled software behaves consistently and meets the intended requirements.
" Help the team understand not simply whether an AI capability works, but whether it is sufficiently reliable and useful for practical engineering applications.
Communication & Collaboration
" Prepare research summaries, partner pre-reads, technical briefings, and actionable
recommendations.
" Engage with internal stakeholders and external technology partners and share findings
with the broader software organization.
" Participate in sprint planning, agile ceremonies, demonstrations, and retrospectives
" Translate technical experimentation into conclusions and recommendations that
engineering and business stakeholders can understand and act upon.
PREFERRED QUALIFICATIONS
" Pursuing a Master's degree in Computer Science, AI, ML, Software Engineering, Data
Science, or a related field, or equivalent demonstrated AI expertise.
" Strong programming skills in Python or another modern programming language.
" Experience developing software, AI prototypes, research projects, or technical
experiments.
" Familiarity with one or more of: LLMs and APIs, embeddings/vector search, RAG, agent
architectures, open-source AI models/frameworks, AI evaluation/guardrails/observability,
CI/CD, or automated testing.
" Ability to design experiments, analyze results, and communicate conclusions clearly.
" Strong communicator who works independently and applies practical engineering
judgment to connect technical solutions with business needs.
" Technical writing, research, open-source, hackathon, or personal-project experience is a
plus.
WHAT SUCCESS LOOKS LIKE
" Deliver well-scoped AI experiments with documented results.
" Build at least one practical prototype supporting software development or testing.
" Help establish methods for evaluating and de-risking AI-generated code.
" Produce clear recommendations for engineering teams and potential technology
partners.
" Identify small-scale experiments with potential for broader organizational value and share
the learning with the wider software organization.
A CULTURE OF SAFETY
Maintain a safe, secure, and environmentally responsible work environment while following
company policies and regulations and demonstrating a commitment to safety, teamwork,
responsible technology use, and continuous learning.
WHAT WE NEED FROM YOU?
Along with your resume or CV, please provide examples of relevant projects, research,
coursework, technical experiments, GitHub work, publications, or demonstrations, where
available.
Brief response: "Describe an AI or software project you have built or studied. What problem did
it address, how did you evaluate it, and what would you improve?