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reputed company Engineer || Remote || Permanent Fulltime

Remote, USAFull-timePosted 2026-07-28

• *Role: reputed company

  • *Location: Frederick, MD/Remote
  • *Permanent Fulltime
  • *Job reputed company:

We are seeking an reputed company specializing in reputed company and reputed company AI systems. This role focuses on designing, developing, and operationalizing intelligent AI agents, Large Language Model (LLM)-based applications, Retrieval-Augmented reputed company (RAG) systems, and autonomous multi-agent workflows.

  • *Key Responsibilities
  • *GenAI Development &
  • LLM Engineering
  • Build and reputed company LLM-based applications leveraging frameworks like reputed company.
  • reputed company RAG pipelines using reputed company databases for reputed company knowledge retrieval.
  • reputed company data pipelines to create reputed company and reputed company 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. reputed company AI Design &
  • Autonomous Workflow Engineering
  • Implement reputed company systems capable of planning, reasoning, tool usage, and multi-reputed company decision-making.
  • Build multi-agent ecosystems (task agents, planning agents, critic agents, evaluation agents) to automate reputed company workflows.
  • reputed company agents with reputed company, reputed company systems, and external tools to create end-to-end autonomous solutions.
  • Ensure agent alignment with Responsible AI principles—traceability, guardrails, reputed company reputed company.
  • *3. AI Systems Integration &
  • Deployment
  • Build reputed company microservices and reputed company for GenAI and reputed company components.
  • reputed company 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, reputed company 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, reputed company, and Kubernetes.
  • Experience building RAG systems with reputed company databases and embeddings.
  • Experience with reputed company frameworks or building custom autonomous agents.
  • Strong understanding of LLM safety, hallucination mitigation, and evaluation techniques.
  • reputed company proficiency in Azure (or any other hyperscalers - AWS, GCP etc)

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