Senior AI Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Oversee the design and implementation of AI-driven systems for client solutions, internal platforms, and products.

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

• Develop and launch production AI functionalities, including LLM integrations, RAG pipelines, agent and automation workflows, evaluation, and guardrails.

• Design and manage cloud infrastructure, focusing on environments, networking, scaling, cost, and infrastructure as code.

• Take charge of deployment processes across various projects, including CI/CD pipelines, release strategies, zero-downtime deployments, and rollbacks.

• Lead application and infrastructure security efforts, including threat modeling, access control, secrets management, data protection, and client-system security reviews.

• Establish and uphold standards for code quality, testing, security, observability, and reusable engineering patterns.

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

• Collaborate with delivery leads and clients to define project scopes, estimate effort, and identify technical risks.

• Guide team usage of AI tools and exemplify best practices in daily workflows.

• Ensure production reliability through monitoring, incident response, and ongoing improvements.

⛳️ Requirements

• A minimum of 5 years of hands-on experience in building and delivering software in professional settings.

• Extensive experience with a modern frontend framework such as React or Next.js, and a backend stack including Python/FastAPI or Node.js.

• Strong expertise in system design, APIs, and relational databases.

• Proven track record of deploying LLM-powered systems to production, including RAG, agents, tool usage, evaluation, and guardrails.

• In-depth experience in designing and managing production infrastructure on AWS or Google Cloud Platform.

• Familiarity with containers, including Docker, Kubernetes, or Cloud Run.

• Experience with networking, scaling, monitoring, and infrastructure as code tools such as Terraform.

• Proven track record in managing CI/CD pipelines and release processes, including automated testing, staged environments, zero-downtime deployments, and rollback strategies.

• Strong understanding of application and cloud security, encompassing IAM, least-privilege access, secrets management, encryption, OWASP Top 10, security reviews, and compliance-oriented delivery for client data.

• History of overseeing production systems from architecture to launch and beyond.

• Experience mentoring engineers and conducting code reviews.

• Strong sense of ownership and judgment when facing ambiguous requirements and shifting priorities.

• Proficiency in GitHub and contemporary developer tools.

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

• Advanced daily utilization of AI tools for planning, implementation, debugging, testing, and documentation.

• Ability to critically assess AI-generated outputs to ensure accuracy and reliability.

• Reliable wired internet connection with a minimum speed of 100 Mbps.

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

• At least 8 GB RAM and 128 GB of available storage.

• Operating system: Windows 10 or the latest version of macOS.

• 1080p webcam and functional microphone.

• Backup solutions for power and internet disruptions.

• Dual-monitor setup is preferred.

🏝️ Benefits

• Performance Bonus

• Remote work with flexible hours earned through performance.

• Opportunities for professional development.

• Paid time off.