Gen AI Engineer (Remote)

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

1. 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