GenAI Engineer

Key Required Skills: Machine Learning Deep Learning Neural Networks Python Natural Language Processing Prompt Engineering and Data Management and Preprocessing.

Position Description:

Design and develop generative models: This includes working with architectures like GANs (Generative Adversarial Networks) VAEs (Variational Autoencoders) and especially transformer-based models (like those behind LLMs).

Fine-tuning and optimization: Adapting pre-trained generative models for specific tasks and datasets optimizing their performance efficiency and the quality of their generated output.

Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs often for specific applications (e.g. content creation code generation design).

Build AI pipelines: Creating the infrastructure and workflows for data preparation model training deployment and ongoing monitoring of generative AI systems.

Integration: Incorporating generative AI models into existing software applications and products.

Research and experimentation: Staying up to date with the latest research in generative AI and experimenting with new algorithms and techniques.

Ethical considerations: Understanding and addressing potential biases misuse and ethical implications of generative AI.

All other duties as assigned or directed.

FOUNDATION FOR SUCCESS (Basic Qualifications)

Bachelors Degree in Computer Science Mathematics Engineering or a related field.

Masters or Doctorate degree may substitute for required experience

Minimum 12 years of overall experience in an IT related field (development background preferred)

Minimum 5 years of hands-on experience designing developing and implementing AI models (Generative AI experience preferred)

Must be able to obtain and maintain a Public Trust. Contract requirement.

FACTORS TO HELP YOU SHINE (Required Skills) These skills will help you succeed in this position:

Strong foundation in Machine Learning Deep Learning and neural networks (GANs VAEs Transformers LLMs).

Proficiency in programming languages especially Python and relevant libraries (Scikit-Learn TensorFlow PyTorch Keras).

Expertise in Natural Language Processing (NLP) for text and language generation.

Data management preprocessing and feature engineering skills.

Expertise with prompt engineering techniques for guiding AI models.

Experience with cloud-based AI platforms (AWS Azure).

Knowledge of software development best practices including CI/CD pipelines version control and testing.

Problem-solving analytical and critical thinking skills.

Strong communication and collaboration abilities.

Understanding of AI ethics and responsible AI development.

HOW TO STAND OUT FROM THE CROWD (Desired Skills) Showcase your knowledge of modern development through the following experience or skills:

Prior experience with federal or state governments IT projects.

Familiarity with various LLM models available in the market

Working knowledge of Retrieval Augmented Generation (RAG) to enhance LLM responses

Experience integrating GenAI models and services into existing applications using APIs

Education:

Bachelors Degree in Computer Science Mathematics Engineering or a related field.

Masters or Doctorate degree may substitute for required experience

Minimum 12 years of overall experience in an IT related field (development background preferred)

Minimum 5 years of hands-on experience designing developing and implementing AI models (Generative AI experience preferred)

Must be able to obtain and maintain a Public Trust.