AI Engineer / AI Architect

Reliability & Safety: Ensure AI features perform predictably in production environments, with appropriate fallback mechanisms and observability. Capability Building: Establish reusable patterns, guardrails, and best practices that enable other engineers to build safely and efficiently.

Job Role - AI Engineer / AI Architect

Location - San Jose, CA and New Jersey (Hybrid)

Duration: 12 months + Contract

Job Description:

Note - we have 6 positions to fill in, 3 with 8-to-10-year experience and another 3 Architect level.

• Role - AI Engineer
• Number of Role - 3
• Location - San Jose, CA and New Jersey

Role #2

• Role - AI Architect
• Number of Role - 3
• Location - San Jose, CA and New Jersey

**Preferred CTH and C2C

Role & Responsibilities

• Applied AI Feature Development: Design and develop AI-powered features and tools for both customer-facing and internal applications.
• End-to-End Delivery: Own full-stack solutions encompassing frontend, backend, and AI components.
• Capability Building: Establish reusable patterns, guardrails, and best practices that enable other engineers to build safely and efficiently.
• Reliability & Safety: Ensure AI features perform predictably in production environments, with appropriate fallback mechanisms and observability.
• Collaboration: Partner closely with Product, Design, and Engineering teams to define, build, and deliver AI-driven solutions.

Required Skills

• Strong experience working across the full technology stack.
• Proven track record of successfully delivering AI-powered features into production environments.
• Hands-on experience integrating LLM APIs into enterprise applications.
• Familiarity with embeddings, vector databases/search technologies, and Retrieval-Augmented Generation (RAG).
• Strong understanding of AI trade-offs, failure modes, cost optimization, monitoring, and observability.
• Ability to design scalable AI systems that can be safely extended and maintained by other engineering teams.
• Experience delivering incremental, well-scoped enhancements in an agile development environment.
• Practical experience leveraging AI-assisted development tools to enhance productivity and accelerate delivery outcomes.