Frederick, Maryland 21701 Posted March 6th, 2026
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Job Type: Full Time
Job Category: IT
Job Description
**Role: Gen AI Engineer
Location: Frederick, MD /Remote
FTE only
Job Description**
We are seeking an AI Engineer specializing in Generative AI and Agentic AI systems.
This role focuses on designing, developing, and operationalizing intelligent AI agents, Large Language Model (LLM)-based applications, Retrieval-Augmented Generation (RAG) systems, and autonomous multi-agent workflows.
**Key Responsibilities
- GenAI Development & LLM Engineering**
- Build and deploy LLM-based applications leveraging frameworks like LangChain.
- Develop RAG pipelines using vector databases for enterprise knowledge retrieval.
- Develop data pipelines to create structured and unstructured datasets for LLM and agent workflows.
- Optimize prompts, system instructions, and memory architectures for robust, domain-specific reasoning.
- Evaluate model performance—accuracy, hallucination mitigation, latency, and safety compliance.
2. Agentic AI Design & Autonomous Workflow Engineering
- Implement agentic systems capable of planning, reasoning, tool usage, and multi-step decision-making.
- Build multi-agent ecosystems (task agents, planning agents, critic agents, evaluation agents) to automate complex workflows.
- Integrate agents with APIs, enterprise systems, and external tools to create end-to-end autonomous solutions.
- Ensure agent alignment with Responsible AI principles—traceability, guardrails, human oversight.
3. AI Systems Integration & Deployment
- Build scalable microservices and APIs for GenAI and agentic components.
- Deploy models and agents using Azure ML or Kubernetes-based stacks.
4. Collaboration & Influence
- Engage with business and product stakeholders to convert ambiguous use cases into technical solutions.
- Support internal capability building—AI best practices, prompt engineering, GenAI safety, and evaluation frameworks.
Required Skills & Qualifications
- Strong hands-on expertise in Python, LLM frameworks, and ML/DL libraries (Transformers, PyTorch, TensorFlow, scikit-learn).
- Experience with API development, microservices, Docker, and Kubernetes.
- Experience building RAG systems with vector databases and embeddings.
- Experience with agentic frameworks or building custom autonomous agents.
- Strong understanding of LLM safety, hallucination mitigation, and evaluation techniques.
- Cloud proficiency in Azure (or any other hyperscalers - AWS, GCP etc.)
Soft Skills
- Strong analytical reasoning, problem-solving, and design thinking skills.
- Comfortable working in fast-paced, agile, innovation-driven environments.
- Curiosity and a passion for emerging AI research, prototyping, and experimentation.
Required Skills
DEVOPS ENGINEER
Tags & focus areas
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