Job Description:

The Agentic AI Engineer will lead the design, hands-on development, deployment, and continuous improvement of advanced agentic AI and autonomous technologies for both internal operations and external products. This individual will create production-ready AI systems, rapidly adapt to emerging AI techniques, and own the lifecycle of models and agents from initial ideation through monitoring and maintenance. The engineer will coordinate with cross-functional data, IT, and business teams, but retain technical accountability

Duties/ Responsibilities

• Architect, code, and deploy agentic AI systems, autonomous agents, and generative models for internal automation and customer-facing solutions.
• Own the complete AI development lifecycle: prototype, productionize, monitor, and continuously improve models and systems.
• Rapidly evaluate, adopt, and optimize new AI techniques and platforms as technology evolves.
• Support AI-driven transformation in business processes, analytics, and new offerings.
• Collaborate as needed with IT, data, security, and compliance teams to meet business and technical objectives while ensuring standards are upheld.
• Document solutions, present technical findings, and support knowledge sharing across teams.
• Adhere to privacy, security, and regulatory guidelines as required (NIST, CCPA, HIPAA, organizational standards).

Required Skills/Abilities

• Proven experience building and deploying AI models and agentic systems in enterprise environments.
• Strong proficiency with Python, R, Spark, SQL, and cloud platforms (Azure, AWS, GCP).
• Deep understanding of data engineering, integration, and pipeline architecture.
• Expertise in agentic workflow design, prompt engineering, and automation orchestration.
• Skilled in troubleshooting, QA, and system performance monitoring.
• Track record of agility—quickly learning and applying new AI techniques.
• Excellent documentation and collaborative skills.
• Able to work independently and coordinate with technical/business stakeholders
• U.S. citizenship required

Nice to Have Skills

• Experience with agentic AI and LLM orchestration platforms (e.g., Hugging Face, OpenAI APIs, Semantic Kernel
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tooling.
• Exposure to prompt engineering, conversational AI, or RPA integrations.
• Awareness of relevant privacy, compliance, or security frameworks (NIST, CCPA, HIPAA).
• Prior consulting, client delivery, or external product development.
• Experience documenting and presenting technical solutions to non-technical stakeholders

Education and Experience:

• 3-6 years of progressive experience designing, developing, and deploying AI solutions and agentic systems in enterprise environments.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, Information Systems, or equivalent;
• Master’s degree preferred.

Travel Requirement:

• Infrequent if at all

Dynamo is a full lifecycle digital transformation company providing best-in-class technology and mission support services to our clients. Dynamo’s mission is to lead the digital transformation industry and provide best-in-class solutions for our clients with a truly human touch.

We leverage industry leading practices to empower our clients, ultimately providing them with the necessary tools, knowledge, and information required to successfully achieve their strategic goals, while optimizing their operations.

Through our partnerships, boldness, and authenticity, Dynamo goes against the grain of a traditional government contracting company by providing top-caliber team members, delivering quality results, and always exceeding expectations.

Dynamo Technologies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, disability, protected veteran status, age, or any other characteristic protected by law.