Application Engineer 4 developing automation processes for security evaluations in Linthicum Heights, MD. Providing application engineering support to evaluate large language models in the ATO process.
GT
Hybrid AI/ML Application Engineer
Posted 5 months ago
About the role
- Senior AI Application Engineer at GDIT turning data into measurable outcomes. Collaborating with teams to deploy innovative AI applications and mentor team members.
Responsibilities
- Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges.
- See the bigger picture on mission initiatives and where your program management career can go at GDIT.
- Work collaboratively with cross-functional teams to architect, design, and deploy innovative GenAI applications that drive business value and transform user experiences.
- Play a key role in mentoring team members and establishing best practices for responsible AI application development.
Requirements
- Education: Bachelor of Arts/Bachelor of Science
- Experience: 5+ years of related experience
- Required Technical skills: 5+ years of proven experience as an AI/ML Engineer or Software Engineer with focus on AI applications
- 2+ years of hands-on experience building production applications with Generative AI and Large Language Models (Gemini, Claude, Llama, etc.)
- 2+ years of demonstrable experience with Databricks platform, specifically Databricks GenAI capabilities (Mosaic AI, Model Serving, Vector Search)
- 5+ years of strong proficiency in Python programming with experience in AI application frameworks (LangChain, LlamaIndex, Semantic Kernel)
- 3+ years of experience with AWS AI services, particularly Bedrock, and integration with cloud-based AI solutions
- Proven experience implementing RAG architectures, vector databases, and semantic search capabilities
- Strong understanding of prompt engineering, few-shot learning, and LLM optimization techniques
- Knowledge of responsible AI practices, bias mitigation, and AI safety considerations
- Excellent problem-solving skills with ability to architect complex AI application solutions
- Strong communication skills to explain AI capabilities and limitations to technical and non-technical stakeholders
- Experience working in Agile environments with cross-functional teams
Benefits
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Full flex work weeks where possible
- Paid parental leave
- Paid military leave
- Paid bereavement leave
- Paid jury duty leave
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