- This is a new role to establish a core competency in agentic AI systems. The Agentic AI Engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.
- A typical day will involve a mix of hands-on coding, architectural design, and research. The Engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with backend services and deploying them using CI/CD pipelines into the cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
- 3-6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
- Python & AI/ML Libraries: Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. GitHub, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS), API Design.
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
- The team is an innovative, collaborative, and empowering environment. They are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting.
- This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset.
- The new engineer will play a crucial role in shaping the organization's AI strategy and building foundational tools and accelerators that will drive innovation across the company.
- Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.
- Standard work hours: 8:00 AM - 5:00 PM.
- 8 years of application development, systems testing or other job related experience.
- Bachelor's degree in Computer Science, Information Technology, or other job-related degree;
- OR, Associates degree in CS, IT, or other job-related degree plus 2 years of work-related experience;
- OR, 4 years job-related work experience (total 12 years without a degree)
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Agentic AI Engineer - Columbia - DP Professionals
Description
DPP is seeking an Agentic AI Engineer for an opportunity in Columbia, SC.Location: Hybrid in Columbia, SC. 3 days/onsite and as needed
Duration: 11 months, with the possibility of conversion to FTE; W2 position
Position summary:
Click the apply button or contact our recruiter Alan at to learn more about this position (#
Authorized US Worker - US Citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor at this time. EOE/AA/V/D
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