Fullstack AI Engineer

Job Description

Fullstack AI Engineer (Generative AI / Agentic Systems)

We are partnering with an innovative technology organization at the forefront of the Generative AI revolution within a complex, data-rich industry. Their growing AI team is focused on building next-generation AI applications and enhancing existing platforms with advanced LLM and agentic capabilities.

They are seeking a Fullstack AI Engineer to drive the strategy, architecture, and delivery of cutting-edge AI solutions across the enterprise.

What You’ll Do

AI Architecture & Strategy

• Own end-to-end design of AI platforms and applications
• Define model strategy (OpenAI, Google, small vs. large models)
• Design scalable systems leveraging:
• RAG (Retrieval-Augmented Generation)
• Multi-agent frameworks & workflow orchestration
• Knowledge graphs, hybrid search, and semantic caching
• Evaluate and implement emerging AI technologies (LLMs, multimodal models, real-time systems)

Platform Development

• Build reusable AI services, SDKs, and frameworks
• Establish best practices for:
• Prompt engineering & versioning
• Model evaluation and observability
• Logging, monitoring, and incident response
• Develop modular, scalable backend systems for agentic workflows

Leadership & Execution

• Lead and mentor AI/ML engineers and data scientists
• Drive design reviews, architecture decisions, and coding standards
• Partner with product and business leaders to identify high-impact AI use cases
• Own delivery of complex AI initiatives from concept through production

Governance & Optimization

• Define evaluation frameworks (quality, safety, business impact)
• Ensure responsible AI practices (bias, privacy, compliance)
• Optimize performance and cost (model routing, caching, infrastructure design)
• Establish SLAs/SLOs and ensure system scalability and reliability

What We’re Looking For

• 8+ years in Software Engineering, ML Engineering, or Data Science
• 2+ years working with Applied AI / LLM systems
• Proven experience in a technical leadership role

Strong expertise in:

• Python and/or TypeScript in production environments
• Cloud-native architecture (AWS, Azure, or GCP)
• Distributed systems, Docker, Kubernetes, CI/CD

Hands-on experience with:

• LLM application development (prompting, tool use, multi-agent systems)
• RAG architectures, vector databases, and retrieval optimization
• AI evaluation, monitoring, and observability

Proven ability to:

• Architect and scale AI systems in production
• Lead cross-functional initiatives and mentor teams
• Communicate complex AI concepts to technical and business stakeholders

Nice to Have

• Experience with coding assistants (e.g., Cursor, Codex, Windsurf)
• Multimodal or real-time AI applications (voice, streaming, UI agents)
• Exposure to AI evaluation frameworks (LangSmith, OpenAI Evals)
• Background in highly regulated or privacy-focused environments
• Experience shaping AI strategy or building AI capabilities at scale

Why This Role

• Opportunity to define AI strategy and architecture at scale
• Work on cutting-edge agentic AI and LLM-driven systems
• High visibility role with strong influence across product and leadership

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