Consultant

🔥 5 minutes ago

🏰 Missouri – Remote

🏰 Missouri – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

💼 Consultant

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Brillio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 Private Equity Round on 2019-01

Healthcare • Insurance • Logistics

Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.

📋 Description

• Work directly with customers and business stakeholders to understand complex use cases and translate them into AI/GenAI solutions • Design, develop, and deploy production-grade applications using LLMs and machine learning technologies • Build RAG pipelines using enterprise data sources, embeddings, vector databases, and semantic search • Develop AI agents and agentic workflows, including tool calling, orchestration, memory, and multi-step reasoning • Integrate AI capabilities with enterprise applications, APIs, databases, cloud platforms, and business workflows • Perform prompt engineering, prompt optimization, model evaluation, and guardrail implementation • Develop backend services and APIs using Python, FastAPI, or similar frameworks • Work with LLM platforms and frameworks such as Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex, and Semantic Kernel • Implement vector search solutions using Azure AI Search, Pinecone, Weaviate, FAISS, or similar platforms • Design and implement scalable AI workloads on Azure, AWS, or Google Cloud Platform • Containerize and deploy AI applications using Docker and Kubernetes • Establish LLMOps/MLOps practices for deployment, monitoring, evaluation, observability, versioning, and continuous improvement • Develop proof-of-concepts and convert successful prototypes into production-ready solutions • Troubleshoot AI application issues across models, prompts, retrieval pipelines, APIs, infrastructure, and customer environments • Implement responsible AI practices covering security, privacy, access control, hallucination mitigation, content safety, and data governance • Collaborate with engineering and product teams to incorporate reusable customer solutions and feedback into the broader AI platform

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field • Strong hands-on programming experience with Python • Experience developing production applications using Generative AI and LLMs • Strong understanding 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 at least one major cloud platform: Microsoft Azure, AWS, or GCP • Good understanding 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/PoC to production deployment • Strong troubleshooting and problem-solving skills • Excellent customer-facing communication and stakeholder-management abilities • Ability to work in fast-paced environments with ambiguous or evolving customer requirements • Preferred: Experience with Azure OpenAI Service, Azure AI Foundry, Azure AI Search, Amazon Bedrock, Google Vertex AI, or similar AI platforms • Preferred: Experience building AI agents, copilots, conversational AI, or autonomous workflows • Preferred: Knowledge of LLM evaluation techniques, observability, tracing, hallucination detection, and AI guardrails • Preferred: Experience with PyTorch, TensorFlow, or similar frameworks

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