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New Grad Ai Software Engineer Jobs in Rhode Island

Ability to learn new technologies quickly. * 3+ years of experience in software engineering, software integration, or application development. * Experience using AI-assisted software engineering ...

SEACORP is seeking to fill a Software Engineer IV - AI position to support the development ... learn new technologies quickly. Preferred : • Master's degree in Computer Science, Software ...

SEACORP is seeking to fill a Software Engineer - AI positionto support the development, integration, testing, and sustainment of modern USNavy software systems using advanced AI-assisted software ...

Principal Software Engineer

Johnston, RI · On-site

$135K - $182K/yr

Johnston, RI - Plano, TX - Iselin, NJ - Boston, MA. Charlotte, NC, Phoenix, AZ and Remote is not an ... AI-Driven Development & Agentic Engineering * Leverage AI-assisted development tools (e.g., GitHub ...

Principal Software Engineer

Johnston, RI · On-site +1

$135K - $182K/yr

Johnston, RI - Plano, TX - Iselin, NJ - Boston, MA. Charlotte, NC, Phoenix, AZ and Remote is not an ... AI-Driven Development & Agentic Engineering * Leverage AI-assisted development tools (e.g., GitHub ...

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ... software engineering principles, design patterns, algorithms, and system architecture ...

Salary: 75K - 100K AI & Innovation Mindset We are committed to leveraging emerging technologies to ... Our products empower clients to reach new levels of efficiency through integration and process ...

Senior Software Engineer

Providence, RI · On-site +1

$123K - $162K/yr

Research and evaluate new technologies, frameworks, and architectural approaches to advance the ... Experience integrating generative AI capabilities into production or near-production applications ...

Senior Software Engineer

Providence, RI · On-site +1

$123K - $162K/yr

Research and evaluate new technologies, frameworks, and architectural approaches to advance the ... Experience integrating generative AI capabilities into production or near-production applications ...

The Software Engineer will need a minimum 10 years of experienceand current DoD Secret Clearance ... Modify existing software to correct errors, to adapt it to new hardware, or to upgrade interfaces ...

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Showing results 1-20

New Grad Ai Software Engineer information

What is the difference between New Grad Ai Software Engineer vs Ai Software Engineer?

AspectNew Grad Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's degree in CS, AI, or related field; internship experience preferredBachelor's or Master's degree; 1+ years experience often required
Work EnvironmentEntry-level, collaborative teams, mentorship programsMid-level to senior teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research labs hiring new graduatesEstablished companies, industry projects, ongoing AI development

The main difference between a New Grad Ai Software Engineer and an Ai Software Engineer is experience level. The new graduate role is designed for recent graduates with limited professional experience, focusing on learning and growth. In contrast, an Ai Software Engineer typically has more experience, handling complex projects independently. Both roles require a strong foundation in AI and software development, but the level of responsibility and independence increases with experience.

What are the key skills and qualifications needed to thrive as a new grad AI software engineer, and why are they important?

To thrive as a New Grad AI Software Engineer, you need a strong background in computer science fundamentals, programming (Python, Java, or C++), and a solid understanding of machine learning concepts, often supported by a relevant bachelor's or master's degree. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data processing tools, and knowledge of cloud platforms like AWS or Azure are typically required. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills help new grads stand out. These skills and qualities enable engineers to contribute to complex AI projects, adapt to evolving technologies, and collaborate effectively within multidisciplinary teams.

What does a new grad AI software engineer do?

A New Grad AI Software Engineer is an entry-level professional who designs, develops, and tests artificial intelligence systems and applications. They often work with machine learning models, data processing, and software development tools to build intelligent solutions. Their responsibilities may include coding, debugging, collaborating with senior engineers, and staying updated on the latest AI techniques. This role provides valuable hands-on experience and opportunities to contribute to innovative AI projects while learning from experienced colleagues.

What are some common challenges faced by new grad AI software engineers in their first year on the job?

New grad AI Software Engineers often face the challenge of bridging the gap between academic knowledge and real-world application. Adapting to large, production-level codebases, collaborating effectively within cross-functional teams, and learning to balance experimentation with delivery timelines are common hurdles. Additionally, keeping up with rapidly evolving AI technologies while mastering company-specific tools and workflows can be demanding. However, mentorship programs and regular code reviews are typically in place to support new grads as they grow into their role.
What are popular job titles related to New Grad Ai Software Engineer jobs in Rhode Island? For New Grad Ai Software Engineer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching New Grad Ai Software Engineer jobs in Rhode Island look for? The top searched job categories for New Grad Ai Software Engineer jobs in Rhode Island are:
What cities in Rhode Island are hiring for New Grad Ai Software Engineer jobs? Cities in Rhode Island with the most New Grad Ai Software Engineer job openings:
Infographic showing various New Grad Ai Software Engineer job openings in Rhode Island as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

Software Engineer IV - AI

SEACORP

Middletown, RI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

SEACORP is seeking a well-qualified Software Engineer IV - AI.
Primary Duties and Responsibilities:
Job Summary: SEACORP is seeking to fill a Software Engineer - AI positionto support the development, integration, testing, and sustainment of modern USNavy software systems using advanced AI-assisted software engineeringworkflows. This position is intended for highly capable software engineers whoare proficient not only in software development fundamentals, but also inleveraging AI-enabled development tools to accelerate delivery, improve codequality, automate repetitive tasks, and enhance engineering productivity acrossthe software lifecycle. The ideal candidate understands how to effectively utilizeAI coding assistants, agentic software engineering workflows, and moderndeveloper tooling to support requirements analysis, software implementation,testing, debugging, refactoring, documentation generation, and codebasecomprehension. This role requires strong engineering judgment and the abilityto balance AI-generated outputs with sound software engineering principles,architecture awareness, maintainability, and operational reliability.
Job Responsibilities Include:
  • Develop, integrate, test, and maintain software applications using modern AI-assisted software engineering workflows.
  • Utilize AI development tools such as Cursor, Claude Code, OpenAI Codex, Continue.dev, and related technologies to improve software engineering productivity and effectiveness.
  • Collaborate with software engineers, architects, testers, and system integrators within Agile software development environments.
  • Implement software solutions in Java and related technologies while applying secure coding practices and software engineering best practices.
  • Utilize Git, GitLab, and Atlassian collaboration tools to support source control, issue tracking, code reviews, sprint execution, and software delivery workflows.
  • Support AI-assisted code generation, debugging, test generation, refactoring, and documentation activities while validating outputs for correctness, maintainability, and security.
  • Work within large and complex codebases while leveraging AI tooling to improve software comprehension, navigation, and development efficiency.
  • Support CI/CD-driven software engineering workflows and automated testing approaches.
  • Assist with the evaluation and adoption of emerging AI-enabled software engineering tools, workflows, and developer productivity technologies.
  • Produce technical documentation, software artifacts, test evidence, and implementation guidance to support engineering and program objectives.

Qualifications:
Education: Bachelor'sdegree in Computer Science, Software Engineering, Computer Engineering, InformationSystems, or a related technical field.
Experience: Requiredknowledge of Git, GitLab, Atlassian tools, VS Code, Cursor, Java, Claude Code,OpenAI Codex, Continue.dev, Linux, and Red Hat Enterprise Linux (RHEL).Candidates should have the ability to work in a fast-paced work environment.Able to collaborate with others while being able to handle independent tasking.Ability to learn new technologies quickly.
Required Experience: Requiredknowledge of Git, GitLab, Atlassian tools, VS Code, Cursor, Java, Claude Code,OpenAI Codex, Continue.dev, Linux, and Red Hat Enterprise Linux (RHEL).Candidates should have the ability to work in a fast-paced work environment.Able to collaborate with others while being able to handle independent tasking.Ability to learn new technologies quickly.
  • 3+ years of experience in software engineering, software integration, or application development.
  • Experience using AI-assisted software engineering tools and workflows to support software development activities.
  • Strong experience with Git-based development workflows and collaborative source control practices.
  • Experience with GitLab repositories, merge requests, branching strategies, and CI/CD integration workflows.
  • Experience utilizing Atlassian tools such as Jira and Confluence within Agile software development environments.
  • Strong proficiency with modern software development environments including VS Code and AI-enabled development extensions.
  • Experience developing software applications in Java.
  • Experience working within Linux-based development and deployment environments, including Red Hat Enterprise Linux (RHEL).
  • Familiarity with Linux command-line operations, shell scripting, package management, system services, permissions, process management, and development toolchains.
  • Ability to evaluate, validate, and refine AI-generated code outputs for correctness, security, maintainability, and operational suitability.
  • Experience troubleshooting software defects, integration issues, build/test failures, and Linux-based runtime issues.

Desired Experience: Desired knowledge in theareas of AI-enabled software engineering workflows, agentic softwaredevelopment, embeddings generation, context optimization for large codebases,modern developer productivity tooling, and Linux-based software environments.
  • Master's degree in Computer Science, Software Engineering, or a related discipline.
  • Experience with Team Submarine, SWFTS, US Navy program offices, TI/APB cycle
  • Experience generating and utilizing embeddings to improve software engineering workflows, semantic search, retrieval augmentation, or codebase understanding.
  • Experience reducing context complexity and optimizing workflows for large software repositories and multi-project codebases.
  • Experience developing software in C++, Python, Go, or Rust.
  • Familiarity with containerized Linux development environments, Docker, Kubernetes, or DevOps workflows.
  • Familiarity with LLM orchestration frameworks, MCP-based integrations, or agentic development environments.
  • Experience with AI-assisted test generation, code review automation, or software documentation generation.
  • Experience supporting software development within defense, government, or mission-critical environments.
  • Experience with OpenClaw and Claude Cowork.

Exceptional Qualifications: Candidatespossessing knowledge in these technologies will be considered exceptionalcandidates:
  • Deep expertise utilizing AI-assisted software engineering workflows to accelerate software delivery while maintaining engineering rigor and code quality.
  • Demonstrated experience integrating multiple AI coding assistants and developer productivity tools into production engineering workflows.
  • Experience improving developer productivity across large-scale software repositories through embeddings, retrieval augmentation, semantic indexing, or context optimization techniques.
  • Experience developing or integrating autonomous or semi-autonomous software engineering agents.
  • Demonstrated ability to balance AI-generated implementation approaches with sound architecture, software quality, cybersecurity, and long-term maintainability considerations.
  • Deep familiarity with the Hugging Face ecosystem including Transformers, Datasets, Tokenizers, PEFT, TRL, Accelerate,
  • Diffusers, Safetensors, Text Generation Inference (TGI), and model packaging workflows.
  • Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, DSPy, AutoGen, CrewAI, OpenAI SDKs/APIs, Anthropic APIs, Ollama APIs, vLLM APIs, LiteLLM, and MCP-based integrations.
  • Experience integrating AI/ML capabilities into production software applications, APIs, developer platforms, CI/CD pipelines, IDE tooling, or enterprise software systems.
  • Experience designing Retrieval-Augmented Generation (RAG) pipelines including embeddings generation, vectorization strategies, semantic chunking, reranking, hybrid search, and contextual retrieval techniques.
  • Experience with vector databases and semantic search technologies such as FAISS, ChromaDB, Milvus, Weaviate, Pinecone, Elasticsearch/OpenSearch vector search, pgvector, or Qdrant.
  • Experience with local or enterprise model inference hosting technologies including vLLM, Ollama, Hugging Face TGI, TensorRT-LLM, llama.cpp, Triton Inference Server, Ray Serve, BentoML, or KServe.
  • Experience deploying and operating AI inference workloads on Kubernetes, Docker, Podman, OpenShift, or cloud-native GPU-enabled environments.
  • Experience with distributed AI/ML training technologies including PyTorch Distributed, DeepSpeed, FSDP, Megatron-LM, Ray, Horovod, or NVIDIA NeMo.
  • Experience developing, fine-tuning, training, evaluating, deploying, and hosting Large Language Models (LLMs) and AI/ML models in enterprise or on-premise environments.
  • Experience with model optimization techniques including quantization, LoRA/QLoRA fine-tuning, pruning, batching optimization, speculative decoding, caching strategies, and GPU memory optimization.
  • Experience with GPU-enabled infrastructure including NVIDIA CUDA, TensorRT, NCCL, MIG partitioning, multi-GPU orchestration, and high-performance AI compute environments.
  • Experience with AI observability, evaluation, and monitoring technologies such as LangSmith, Weights & Biases, MLflow, OpenTelemetry, Phoenix/Arize, TruLens, or prompt evaluation frameworks.
  • Experience with AI security and governance technologies including model isolation, prompt injection protections, content filtering, secrets management, supply chain validation, and secure model deployment practices.
  • Experience building AI-enabled developer tooling including AI copilots, code assistants, autonomous coding agents, semantic code search, AI-driven test generation, or AI-enabled software modernization tools.
  • Experience working with modern data and AI pipelines using Apache Kafka, Spark, Iceberg, Airflow, Ray, Redis, or streaming data architectures supporting AI/ML applications.
  • Experience with enterprise AI deployment in disconnected, air-gapped, regulated, or classified environments.

As a requirement of employment, all SEACORP employees must hold U.S. Citizenship.
Location: Middletown, RI
Travel: Quarterly (approximately 4 times a year)
Clearance: Secret
Work Environment & Physical Demands: Office & Computer Laboratories - Sitting, standing, extended periods of time using a mouse and keyboard and viewing computer screens. Infrequent lifting of <40lbs. Movement between points within the same office or between buildings. Work is performed in generally consistent environmental conditions with some seasonality for temperature differences and lighting.
Successful candidates will enjoy competitive wages and a very rich benefit program, including:
  • Medical Benefits: Choice of two medical insurance programs through Blue Cross & Blue Shield.
  • Dental Benefits: A best in class Dental Insurance Plan through Delta Dental.
  • Vision Benefits: An excellent Vision Benefit providing discounts and allowances for prescription glasses and contact lenses.
  • Retirement Benefits: A qualified 401(k) Retirement Savings Account with a generous employer matching contribution up to 8% of your eligible compensation.
  • Life Insurance Benefits: Employer paid Life and Accidental Death & Dismemberment Insurance equal to your annual salary. Supplemental coverage is available for you and qualified family members as well as Supplemental Short-Term and Long-Term Disability Insurance.
  • Additional Benefits: Ten (10) Paid Holidays per year (including 2 floating Holidays), a generous Paid Time Off (PTO) program; Tuition Reimbursement, and Referral Bonuses.
Undersea, on the surface, or in the air, SEACORP leverages its software and engineering expertise to deliver cutting edge warfare systems.
SEACORP is a proud Equal Opportunity Employer and complies with all applicable federal, state and local fair employment practices laws. SEACORP strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), age, sexual orientation, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state or local law.

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About SEACORP

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Middletown, RI, US

Year founded

1981