GenAI Engineer
GenAI Engineer
Posted on :
12-07-2025
Employer Active
1 Vacancy
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Monthly Salary
$ 158040 - 168040
Vacancy
1 Vacancy
Posted on :
12-07-2025
Job Description
Please Note:
- It is 100% Onsite Position
- Selected candidate must be willing to work on-site in Woodlawn MD 5 days a week
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.
Requirements
Skills Requirements:
Basic Qualifications:
- Bachelors Degree in Computer Science Mathematics Engineering or a related field.
- Masters or Doctorate degree may substitute for required experience
- 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.
Required Skill
- 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.
Desired 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
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.
Education
Bachelor's Degree in Computer Science, Mathematics, Engineering or a related field.
Employment Type
Full Time
Key Skills
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