Gen AI Developer Intern

Description

We are in search of a Generative AI Solutions Developer Intern who excels in leveraging existing Gen AI to create innovative solutions for our customers. The ideal candidate is skilled in prompt engineering, retrieval augmented generation, and deploying AI technologies for production use, ensuring AI solutions meet or exceed quality and performance requirements. This role also requires an understanding of operating solutions using cloud technologies including Azure and AWS platforms.

Primary Responsibilities

* Assist in applying prompt engineering techniques to effectively utilize generative AI models for content creation, data analysis, and problem-solving.

* Assist in integrating AI functionalities into applications and systems using API-based models (e.g., Azure OpenAI, AWS Bedrock) or by managing open-source models in a cloud environment.

* Collaborate with technical and business teams to translate requirements into scalable AI solutions.

* Assist in ensuring the secure and efficient deployment of AI solutions on cloud platforms (Azure or AWS), managing resources and optimizing performance.

* Ensure that all AI solutions are developed and deployed in an ethical, unbiased, and responsible manner, adhering to industry best practices and company guidelines.

* Assist in fine-tuning Large Language Models to enhance their performance and relevance to specific customer needs.

* Stay updated with the latest in AI technologies and cloud solutions to continually enhance our offerings.

Basic Qualifications

* Currently enrolled in a Bachelor's degree program in Computer Science, Engineering, or a related field; advanced degree preferred.

* A growth mindset with a proven track record of learning and implementing new technologies and methodologies in the AI and cloud computing domains. Must demonstrate adaptability in the face of evolving project requirements and technology landscapes.

* Experience with AI/machine learning solutions is a plus.

* Proven expertise in prompt engineering, retrieval augmented generation, and embeddings to tailor AI outputs to achieve needed quality levels.

* Experience with cloud computing platforms (Azure or AWS), including deployment, management, and optimization of AI models in the cloud to deliver needed performance levels.

* Familiarity with AI model fine-tuning techniques and tools, with a focus on generative AI applications.

* Proficiency in programming languages relevant to AI development (e.g., Python) and understanding of API integration.

* Able to obtain public trust clearance.

Preferred Qualifications

* Demonstrated projects or case studies showing effective use of generative AI to solve business problems.

* Knowledge of security best practices for AI solutions in the cloud.

* Excellent communication skills for collaborating across teams and with clients.

* Leverage big data analytics tools, such as Databricks, to process and analyze large datasets, enhancing the accuracy and effectiveness of generative AI models.

* Located in the DC Metro Area.

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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