Senior AI Engineer

About the Company

The company is a rapidly growing AI consultancy and product studio dedicated to helping organizations move from experimentation to real results. We operate across four core pillars: AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development.

In addition to client services, the company builds proprietary AI products, copilots, and vertical solutions that solve high-value industry problems. This dual model allows us to translate hands-on implementation experience into scalable products while continuously refining our approach through real-world deployment.

Our operating model combines deep technical execution with practical change management, enabling enterprises to deploy secure, compliant, and high-impact solutions that drive measurable operational value. From executive roadmapping to production-ready systems and workforce upskilling, the company embeds intelligent tools directly into the workflows that matter most.

Mission: Help organizations win the AI moment.

Position Overview

As a Senior AI Engineer at the company, you will lead the technical build of AI systems across client engagements and internal products where speed, adaptability, and execution quality matter.

You will own systems, not just features: shape architecture, make technical trade-offs, set engineering standards, and ship production-ready solutions across web interfaces, backend services, LLM integrations, agents, and AI-driven workflows. You will own the infrastructure, deployment process, and security posture of the systems you lead. You will work directly with delivery leads and clients to turn vague business problems into clear technical plans.

This is a senior individual contributor role with technical leadership: you will mentor engineers, review their work, and raise the quality bar across the team.

Every role at the company is AI-forward. We expect engineers to use AI tools in daily workflows across research, implementation, debugging, testing, and documentation. AI usage is a core execution capability, not optional tooling.

Primary Responsibilities

• Lead the design and delivery of AI-enabled systems for client solutions, internal platforms, and products.

• Make architecture decisions across frontend, backend, APIs, data models, AI components, cloud infrastructure, and deployment.

• Design and ship production AI capabilities: LLM integrations, RAG pipelines, agent and automation workflows, evaluation, and guardrails.

• Design and own cloud infrastructure: environments, networking, scaling, cost, and infrastructure as code.

• Own the deployment process across projects: CI/CD pipelines, release strategy, zero-downtime deploys, and rollbacks.

• Lead application and infrastructure security: threat modeling, access control, secrets management, data protection, and security reviews for client systems.

• Set and enforce standards for code quality, testing, security, observability, and reusable engineering patterns.

• Mentor junior and mid-level engineers through code reviews, pairing, and technical guidance.

• Work with delivery leads and clients to scope work, estimate effort, and flag technical risks early.

• Define how the team uses AI tools in development, and lead by example in daily use.

• Own production reliability: monitoring, incident response, and continuous improvement.

Requirements

• 5+ years of hands-on experience building and shipping software in professional environments.

• Deep experience with a modern frontend framework (such as React or Next.js) and a backend stack (such as Python/FastAPI or Node.js).

• Strong experience with system design, APIs, and relational databases.

• Proven experience shipping LLM-powered systems to production (RAG, agents, tool use, evaluation, and guardrails).

• Infrastructure: deep experience designing and running production infrastructure on AWS or Google Cloud Platform, including containers (Docker, Kubernetes or Cloud Run), networking, scaling, monitoring, and infrastructure as code (such as Terraform).

• Deployments: proven ownership of CI/CD pipelines and release processes, including automated testing, staged environments, zero-downtime deployments, and rollback plans.

• Security: strong command of application and cloud security, including IAM and least-privilege access, secrets management, encryption, OWASP Top 10, security reviews, and compliance-minded delivery for client data.

• A track record of owning production systems from architecture to launch and beyond.

• Experience mentoring engineers and leading code reviews.

• Strong ownership and judgment when requirements are unclear and priorities shift.

• Proficiency with GitHub and modern developer tooling.

• Excellent written and verbal communication, including with clients and non-technical stakeholders.

• Advanced daily use of AI tools across planning, implementation, debugging, testing, and documentation.

• Ability to critically evaluate AI-generated output and hold the team to a high standard for correctness and reliability.

Preferred Qualifications

• Experience with LLM evaluation frameworks, vector databases, and cost and latency tuning for AI systems.

• Familiarity with frameworks such as LangChain or autonomous agent tooling.

• Client-facing experience in a consultancy, startup, or fast-iteration environment.

Schedule and Location

• This is a fully remote role within approved hiring locations, subject to the company hiring and compliance requirements.

• Working schedule follows Eastern Time hours: Monday to Friday, 9:00 AM to 5:00 PM ET, including holidays.

Technical Requirements

• Reliable wired internet connection with at least 100 Mbps speed.

• Computer or laptop with Intel Core i5 or Ryzen 5 processor or higher.

• Minimum 8 GB RAM and at least 128 GB available storage.

• Dual-monitor setup preferred.

• Windows 10 or macOS (latest version).

• 1080p webcam and working microphone.

• Backup solutions for power and internet interruptions.

Benefits

• Compensation: USD 15,000 per year base salary + Performance Bonus

• Remote work with earned flexibility.

• Professional development opportunities.

• Paid time off.

Why Join the company

You will shape how applied AI systems are built at the company, across client and internal products that reach real production. You will work directly with operators and technical leaders, influence engineering standards, and grow the engineers around you.

The environment rewards ownership, speed, and clarity rather than bureaucracy.

Experience the company difference. Let's build what's next.