AI Engineer

Job Description

Department: Research and Development

Location: Remote

Compensation: $200,000 - $225,000 / two weeks

Description

Were seeking a Lead AI Engineer to drive innovation and delivery at the intersection of AI agent systems and scalable multi-tenant infrastructure. In this hands-on leadership role, you'll guide a small team of AI engineers and help define, build, and deploy next-generation AI applicationsparticularly those centered around chat agents and intelligent automation.

This role is perfect for a senior-level engineer ready to take the next step into technical leadership while staying deeply engaged in coding, experimentation, and infrastructure. Youll work across model orchestration, multi-tenant architectures, and AWS cloud environmentsbringing clarity, velocity, and vision to our AI capabilities.

**This is a remote role**

Key Responsibilities

• Lead a small team of AI engineers, setting direction, mentoring junior members, and ensuring high-quality, on-time delivery of AI-driven solutions.
• Design and build AI agents and chat-based tools that operate reliably in a multi-tenant architecture.
• Integrate with MCP (Model Context Protocol) services and orchestrate workflows using LLMs from providers like OpenAI, Anthropic, or open-source models.
• Ensure platform scalability, performance, and security across tenant environments.
• Drive end-to-end ownership of projects: from architectural design through deployment, monitoring, and iteration.
• Partner closely with product management, DevOps, and other engineering leads to align roadmap, scope, and timelines.
• Stay up to date on LLM and agentic AI developments, continuously evaluating new approaches for real-world implementation.
• Champion a fast-paced, experimentation-forward culture where bold ideas are welcome and delivery velocity matters.
  
  

Skills, Knowledge and Expertise

• 5+ years of experience in software engineering, 2+ focused on AI/ML systems, with 2+ years in technical leadership or mentoring roles.
• Proven experience developing and deploying LLM-based agents (LangChain, CrewAI, AutoGen, etc.) in production environments.
• Deep understanding of multi-tenant systems, including tenant isolation, security, and shared resource optimization.
• Experience integrating with MCP services or AI orchestration layers for chat or task-based tools.
• Strong AWS experience; comfortable with infrastructure-as-code (Terraform), serverless compute, observability tooling, and scaling.
• Familiarity with modern MLOps and AI application patterns (e.g., vector DBs, retrieval-augmented generation, streaming inference).
• Excellent written and verbal communication skills capable of representing team efforts to stakeholders and leadership.
• Comfortable pushing boundaries, trying new approaches, and driving continuous improvement in engineering practices.
• Nice to Have
• Prior experience in early-stage or high-growth environments where adaptability and rapid iteration are critical.
• Frontend familiarity (React/Next.js) for building AI chat UIs or admin dashboards.
• Experience with agent frameworks, model fine-tuning, or retrieval-augmented generation (RAG).
• Knowledge of SaaS security best practices in AI environments
  
  

Wy DeepSeas?

At DeepSeas, we like to say that heart rates go down, careers take off, and security programs mature. Our values provide the ultimate guide for our daily behavior and decisions. Without these values, we arent DeepSeas. They preserve the essence of our organization, reflect the personalities of our Deeps (how we affectionately refer to our teammates), and enable us to exceed expectations.

Our values are:

• We are client obsessed.
• We stand in solidarity with our teammates.
• We prioritize personal health and well-being.
• We believe in the power of diversity.
• We solve hard problems at the speed of cyber.

This is your chance to join a supportive crew of teammates and an industry-leading organization that values opportunities for growth. If DeepSeas sounds like a good fit for you, send us your resume and lets talk! Information security is everyones responsibility:

• Understanding and following DeepSeass information security policies and procedures.
• Remaining vigilant and reporting any suspicious activity or possible weaknesses in DeepSeass information security.
• Actively participating in DeepSeass efforts to maintain and improve information security.
• DeepSeas considers this position is as Moderate Risk with a potential to view/access/download restricted/private client/internal data.
• This information must be treated with sensitivity and in the most secure manner.
• HR reserves the right to perform random background/drugscreens to ensure the safety of client/DeepSeas data