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Consultant - R01573317

13 hours, 29 minutes ago
United States
Contract
Senior
Consultant
Operations
AWS Azure CI/CD Docker FastAPI GCP Generative AI Git Kubernetes LLM Machine Learning MLOps Python PyTorch REST API
Apply Now
Brillio

Brillio

Brillio is a global leader in Enterprise Digital Transformation Solutions, partnering with companies to drive business improvement and competitiveness through innovative technology solutions.

IT Services
1001-5000
Founded 2014
View All Jobs 17

Description

  • Partner with customers and stakeholders to translate complex business use cases into AI and GenAI solutions.
  • Design, develop, deploy, and operationalize production-grade LLM and machine learning applications.
  • Build RAG pipelines using enterprise data, embeddings, vector databases, and semantic search.
  • Develop AI agents and agentic workflows with tool calling, orchestration, memory, and multi-step reasoning.
  • Integrate AI capabilities with enterprise applications, APIs, databases, cloud platforms, and business workflows.
  • Perform prompt engineering, model evaluation, optimization, and guardrail implementation.
  • Develop backend services and APIs using Python, FastAPI, or similar frameworks.
  • Design scalable AI workloads and deploy containerized applications using cloud platforms, Docker, and Kubernetes.
  • Establish LLMOps/MLOps practices for monitoring, observability, versioning, evaluation, and continuous improvement.
  • Troubleshoot AI applications and implement responsible AI controls for security, privacy, safety, and governance.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • Strong hands-on Python programming experience.
  • Experience developing production applications with Generative AI and large language models.
  • Strong knowledge of RAG, embeddings, vector databases, semantic search, prompt engineering, and agentic AI.
  • Experience integrating AI applications with REST APIs, enterprise databases, and cloud services.
  • Hands-on experience with Microsoft Azure, AWS, or Google Cloud Platform.
  • Knowledge of software engineering principles, Git, CI/CD, testing, containerization, and API development.
  • Knowledge of machine learning concepts, model evaluation, inference, and performance optimization.
  • Experience taking AI solutions from prototype or proof of concept to production deployment.
  • Strong customer-facing communication, stakeholder management, troubleshooting, and problem-solving abilities.
  • Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, Amazon Bedrock, Google Vertex AI, or similar platforms (preferred).
  • Experience building AI agents, copilots, conversational AI, autonomous workflows, LLM evaluation, observability, tracing, hallucination detection, or AI guardrails (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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