Namely
Namely

20 Namely Ux Designer Jobs Hiring Near You

... Product, Data, UX, Security, and DevOps teams to deliver AI‑driven product capabilities ... Mandatory, hands‑on experience with AWS, including designing and operating cloud‑native ...

DIRECTOR, E-COMMERCE

Manhattan, NY · On-site

$180 - $260/hr

Partner with Technology and UX teams to define business requirements for new capabilities and platform enhancements. * Ensure rigorous testing, measurement and continuous optimization across digital ...

Build intuitive, interactive user interfaces to a high frontend standard while also delivering ... Cross-Functional Collaboration -- Partner closely with product managers, designers, and other ...

Head of Biology

Manhattan, NY · On-site

$90 - $120/hr

You have experience designing biological experiments and working with CROs for synthesis and experimental validation * You have experience working with protein language models or machine learning ...

Senior Security Engineer I, IAM

Manhattan, NY · On-site

$163.94 - $215.18/hr

Experience designing or implementing identity and access management controls for enterprise systems, cloud environments, SaaS platforms, or internally built applications. * Strong understanding of ...

We use TypeScript, React, and Next.js to create our user interfaces, although specific knowledge of ... a visual designer, but we're looking for someone who can build on the work of our experienced ...

Director, Provider Operations

Dallas, TX · On-site

$147.55 - $193.66/hr

... of experience designing and improving business processes for optimization as well as standing up accompanying operating and technical procedures * 5+ years of experience using data to influence ...

Senior Product Engineer

Manhattan, NY · On-site

$150 - $195/hr

We're a remote-first company with a lean, experienced team. We move fast, trust people to make good ... You've designed scalable architectures for these systems: retrieval, agents and their lifecycles ...

Celtra is seeking an experienced Enterprise Sales Director with a background in selling platform ... A marketer's mindset with empathy for the end user, creative problem-solving ability, and a passion ...

... improve user and business outcomes. What you'll do * Partner closely with product, design ... Experience working on engagement loops or retention strategy * Deep fluency in SQL and comfort with ...

Meet with clients to understand user workflows, pain points, and existing solutions * Collaborate ... Experience with SQL, data modeling, and database design * Exceptional communication + ability to ...

Senior Software Engineer

Manhattan, NY · On-site

$146 - $180/hr

We are looking for an experienced Senior Software Engineer to join our team. This individual will play a key role in designing, building, and scaling the core applications and services that power our ...

Principal AI Engineer

Namely

Mountain View, CA • On-site

$130 - $170/hr

Other

Posted 5 days ago


Job description

We are seeking a Principal AI Engineer to design, build, and scale AI‑driven systems across our product platforms. This role is ideal for a deeply technical engineer who leads through hands‑on contribution, solves complex problems, and drives the adoption of AI into real‑world products. The ideal candidate brings strong backend and cloud fundamentals, mandatory experience with Java and AWS, and proven experience integrating AI and Generative AI capabilities into production systems. You will work closely with product, architecture, and engineering teams to deliver reliable, scalable, AI‑enabled solutions that create meaningful business impact.

Responsibilities
  • AI Engineering System Design: Design, build, and operate AI‑powered applications, including LLM‑based services, ML‑driven workflows, and intelligent automation; integrate AI capabilities into Java‑based backend systems and cloud‑native platforms; design scalable API‑first services (REST, GraphQL) exposing AI capabilities across products; implement data pipelines supporting feature engineering, retrieval‑augmented generation (RAG), vector search, and inference; apply best practices for prompt design, model orchestration, evaluation, and observability.
  • Cloud Platform Engineering (AWS – Must Have): Build and operate cloud‑native AI systems on AWS, including EC2, S3, RDS, Lambda, and EKS; design containerized workloads using Docker and Kubernetes (EKS); optimize systems for scalability, latency, reliability, and cost efficiency; implement Infrastructure as Code using Terraform or AWS CDK.
  • Data Distributed Systems Design: Design and operate relational (SQL) and NoSQL data stores for high‑scale, distributed systems; make informed trade‑offs around data consistency, availability, and performance; work with event‑driven and asynchronous architectures where appropriate.
  • Technical Leadership Impact: Lead complex technical initiatives end‑to‑end, from design through production deployment; influence system design and engineering standards across teams through design reviews and technical guidance; mentor senior engineers and raise the overall bar for AI and cloud engineering excellence; collaborate with Product, Data, UX, Security, and DevOps teams to deliver AI‑driven product capabilities.
Qualifications
  • 8–10 years of hands‑on software engineering experience building large‑scale, production systems.
  • Strong, hands‑on experience with Java in backend and distributed systems.
  • Mandatory, hands‑on experience with AWS, including designing and operating cloud‑native workloads.
  • Strong experience with SQL and NoSQL databases in production environments.
  • 3+ years of experience building AI‑powered applications, including ML or LLM‑based systems.
  • Experience with API‑first architectures (REST, GraphQL).
  • Hands‑on experience with Docker and Kubernetes (EKS).
  • Strong problem‑solving skills and ability to own systems end‑to‑end.
Additional Experience
  • Experience with Generative AI platforms and frameworks (AWS Bedrock, OpenAI APIs, LangChain, LlamaIndex).
  • Experience with vector databases and semantic search.
  • Familiarity with MLOps practices, model monitoring, and evaluation frameworks.
  • Experience working in product‑driven, agile environments.
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