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.
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.
About Agentic Bricks
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. Our consultants work at the cutting edge — not in isolation, but shoulder-to-shoulder with the client teams they support.
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
Skills: Python
- Microsoft Azure
- Azure OpenAI
- LLMs
- RAG
- Agentic Workflows
- API Integration
- Prompt Engineering
- CI/CD
- Vector Databases
- AI Evaluation
- Cloud-Native Development