11 days ago
Base Salary
$160 - $165/yr
Responsibilities
- Define agentic AI reference architectures covering LLM applications, RAG pipelines, tool and function calling, memory systems, multi-agent orchestration, and enterprise integrations.
- Design and deploy AI agents and autonomous workflows for Finance, Legal, Operations, Sales, Support, and Growth use cases.
- Evaluate foundation models and enterprise AI platforms, including Gemini, Vertex AI, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source LLMs.
- Integrate AI solutions with Google Workspace, Slack, CRM systems, internal APIs, databases, and knowledge repositories.
- Implement observability, evaluation, guardrails, monitoring, reliability controls, and responsible AI practices for production applications.
- Help clients move from AI experimentation to secure, scalable, production-grade agentic AI solutions and drive enterprise automation and operational efficiency.
Requirements
- 8+ years of experience in software engineering, solution architecture, enterprise architecture, or platform engineering.
- 2+ years of hands-on experience building AI, GenAI, LLM-powered, or agentic applications; production deployment experience is preferred.
- Strong understanding of LLMs, RAG, prompt engineering, vector databases, tool and function calling, context management, memory systems, and AI workflow orchestration.
- Hands-on experience with LangChain, LangGraph, CrewAI, Google ADK, AutoGen, Semantic Kernel, or similar frameworks.
- Strong Python skills plus experience with one or more of Java, Go, Node.js, React, TypeScript, APIs, microservices, SQL/NoSQL, and event-driven systems.
- Experience with Google Cloud, AWS, or Azure, including Docker, Kubernetes, CI/CD, DevSecOps, and cloud-native deployment patterns.
- Preferred experience includes AI evaluation frameworks, observability tools, guardrails, feedback loops, fine-tuning, model optimization, open-source LLM deployment, multi-agent coordination, and autonomous decision-making systems.
- Preferred experience includes Pinecone, Weaviate, Chroma, Vertex AI Vector Search, Google Workspace APIs, Slack integrations, enterprise automation tools, cloud certifications, or open-source AI contributions.
Benefits
- Remote work with occasional travel.
- Opportunity to deliver client-facing, production-grade agentic AI solutions and accelerate enterprise automation, developer productivity, operational efficiency, and time-to-market.
Categories
About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.