[Hiring] AI Engineer @NewRocket

Role Description

NewRocket is seeking a hands-on AI Engineer – Campus and Graduate Level to support the design, development, testing, and deployment of AI-enabled solutions for enterprise clients. This role is ideal for an early-career engineer with foundational experience in software development, data, and generative AI who is eager to work on practical, high-impact applications of AI.

• Work closely with AI engineers, product managers, data scientists, platform teams, and client-facing consultants.
• Gain exposure to the full AI solution lifecycle, from use-case discovery and proof-of-concept development through production rollout, evaluation, monitoring, and continuous improvement.
• Travel to clients and conferences as needed.

Key Responsibilities

• AI Solution Development
  • Assist in building, testing, maintaining, and documenting AI-enabled applications, workflows, and reusable accelerators.
  • Develop prototypes and proof-of-concepts using generative AI, large language models (LLMs), RAG, APIs, and workflow automation tools.
  • Support the development of agentic AI solutions that can use enterprise context and help orchestrate enterprise processes.
  • Assist with prompt and context engineering, including instruction design and response formatting.
  • Help build AI applications using structured outputs and workflow orchestration patterns.
  • Help integrate AI capabilities with enterprise platforms, including ServiceNow.
  • Write clean, maintainable, secure, and well-documented code following engineering best practices.
• Retrieval, Data, Evaluation & Quality
  • Support data preparation, document ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing activities for AI solutions.
  • Assist with RAG solutions that ground AI responses in authorized enterprise knowledge sources.
  • Help assess model and workflow performance across various metrics.
  • Assist with the development of test cases, evaluation datasets, and monitoring approaches.
  • Support techniques that improve reliability and user trust.
  • Identify issues, document findings, and contribute to iterative improvements.
• Responsible AI & Security
  • Apply responsible AI principles in the development and testing of AI solutions.
  • Help implement safeguards for sensitive data and access controls.
  • Support human-in-the-loop workflows for sensitive AI decisions.
  • Document solution behavior, known limitations, and operational considerations.
• Cross-Functional Collaboration
  • Collaborate with various teams to translate business needs into technical solutions.
  • Participate in requirements gathering, solution-design sessions, and code reviews.
  • Support client-facing teams with technical research and implementation activities.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.
  • Contribute to internal documentation and knowledge-sharing sessions.
• AI Innovation & Research
  • Stay current on emerging AI technologies and enterprise use cases.
  • Complete relevant training and technical education opportunities.
  • Research opportunities to apply generative and agentic AI.
  • Contribute ideas for new AI capabilities and product enhancements.

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• 1–3 years of relevant experience through internships, co-ops, research, freelance work, academic projects, or professional roles.
• Experience with one or more programming languages, preferably Python, JavaScript/TypeScript, Java, or similar languages.
• Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud-based applications.
• Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts.
• Familiarity with LLM application concepts and tools or frameworks such as Git, REST APIs, SQL, Docker, and cloud AI services.
• Foundational understanding of responsible AI concepts.
• Strong problem-solving skills, curiosity, attention to detail, and willingness to learn in a fast-paced environment.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience building AI, automation, chatbot, workflow-based, or data-driven projects.
• Exposure to Claude, the Anthropic API, and related learning resources.
• Experience using LLM APIs for various applications.
• Understanding of RAG, vector databases, and human-in-the-loop workflow design.
• Familiarity with ServiceNow and cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Experience working in an agile software-development environment.
• Interest in enterprise consulting and applying AI to real-world business challenges.

What You Will Gain

• Hands-on experience building enterprise-grade generative and agentic AI solutions.
• Exposure to Anthropic-aligned practices for AI development.
• Experience across the end-to-end lifecycle of AI product and solution development.
• Mentorship from experienced professionals.
• Opportunities to contribute to client-facing proofs-of-concept and production implementations.
• A strong foundation for a career in AI engineering or related fields.

Benefits

• NewRocket is committed to a diverse and inclusive workplace.
• We value and celebrate diversity, believing that every employee matters and should be respected and heard.
• We are proud to be an equal opportunity workplace and affirmative action employer.