AgenticBricks, Inc. Sr. AI Solutions Engineer
Architect and build intelligent automation systems using LLM-based frameworks, including multi-step reasoning, tool orchestration, and autonomous workflows
About AgenticBricks, Inc.
AgenticBricks is an AI consulting firm that embeds expert engineers directly with enterprise clients to tackle complex, high‑stakes challenges. We specialize in agentic systems, intelligent automation, and LLM‑powered solutions that create measurable outcomes.
Description
Are you a software engineer who thrives on solving problems that actually matter? AgenticBricks is placing a senior‑level AI engineer with one of our most impactful clients. This isn't a prototype role. You'll be building and shipping real solutions alongside a world‑class team.
This engagement places you onsite with a prominent organization focused on technology‑driven social impact, operating at a global scale across health, development, and innovation initiatives.
What You’ll Do
- Architect and build intelligent automation systems using LLM‑based frameworks, including multi‑step reasoning, tool orchestration, and autonomous workflows
- Develop and deploy cloud‑native AI solutions using Python and Microsoft Azure
- Connect AI capabilities to enterprise platforms through APIs, microservices, and event‑driven architecture
- Take ownership from requirements to production — including testing, monitoring, and continuous improvement
- Work closely with client engineers, program leads, and business stakeholders to deliver solutions that hold up in the real world
- Help establish reusable patterns, shared components, and engineering standards for AI development
- Bring awareness of the latest AI developments and apply them where they add genuine value
What You Bring
- Strong Python development skills and deep familiarity with LLMs and retrieval‑augmented generation
- Hands‑on experience building and integrating AI services on cloud platforms, preferably Azure
- A proven history of deploying and supporting AI/ML systems in production
- Comfort with AI‑assisted development tools and modern engineering workflows
- Experience with prompt design, model evaluation, and observability practices
- Sound understanding of data privacy and security in AI contexts
- Ability to work independently, manage your own priorities, and deliver in an agile environment
Nice to Have
- Experience with orchestration frameworks such as LangChain or LlamaIndex
- Familiarity with vector databases or knowledge graph systems
- Background supporting technology initiatives in complex, mission‑driven or globally‑focused organizations