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Gen AI Engineer

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Location:
United States , Frederick

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

200000.00 USD / Year
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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.

Job Responsibility:

  • 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
  • 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
  • Build scalable microservices and APIs for GenAI and agentic components
  • Deploy models and agents using Azure ML or Kubernetes-based stacks
  • 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

Requirements:

  • 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.)
  • 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

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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