FDE Engineering Lead

Develop and maintain backend services using Python

Implement high availability applications on Kubernetes

Lead high-impact projects and innovative solutions

Drive backend and cross-functional projects

Improve AI-generated code using Node.js

Align AI code with Node.js's standards

Develop AI-powered features across full stack

Create robust APIs linking database with AI systems

Enhancing AI-generated code using Node.js backend expertise.

Ensuring Node.js compatibility for AI models.

Build new features for the REST API using Node.js and TypeScript

Develop features using AWS services like Lambda, S3, DynamoDB, and Redshift

Design and implement AI-powered features across the full stack

Create robust, scalable APIs that connect database capabilities with AI/ML systems

Implement state-of-the-art voice cloning and text-to-speech functionality with low latency

Prioritize tasks based on urgency and impact to ensure project efficiency

Lead the development of AI tooling for Whatnot's engineering organization.

Build and deploy tools end-to-end to support AI agents.

Lead end-to-end delivery of user-facing features

Rapidly iterate on the unified rate page

Build and maintain backend services and APIs

Design and implement care data models

Own design, development, and reliability of core identity/platform services.

Architect backend services for onboarding, org management, and multi-user access.

Building and designing new features for Atlas

Leading complex technical projects

Own component-level engineering work

Deliver key features for CRE

Develop state-of-the-art voice cloning technology

Implement low latency text-to-speech solutions

Design and build scalable backend services in Go

Maintain core services with high reliability and operational ownership

Develop and maintain AI model serving solutions

Deploy high availability applications on Kubernetes

Set technical vision and strategy for the product area

Lead engineers to ship code and tackle hard problems

Design and develop scalable backend systems and APIs for AI applications.

Collaborate with cross-functional teams to shape data-driven products.

Connect developers around the world with opportunities.

Lead design and implementation of scalable backend services.

Develop cutting-edge voice cloning solutions

Implement low latency text-to-speech systems

Enhance chess learning experience through backend services

Collaborate with AI researchers to create human-like chess experiences

Build and maintain endpoint services

Design and develop new product ideas

Develop AI model serving capabilities

Implement low latency text-to-speech functionality

Design and deliver key CRE features

Collaborate with teammates and partners

Develop and optimize AI model serving infrastructure

Implement low latency and cost-effective text-to-speech solutions

Develop AI models for voice cloning and text to speech

Implement high availability applications using Kubernetes

Design and implement distributed backend services for customer onboarding

Collaborate with cross-functional teams to streamline onboarding processes

Develop and implement AI model serving

Deploy high availability applications on Kubernetes

Deliver key features for Chainlink CRE project

Ensure reliability, correctness, and scalability of systems

Own component-level engineering work from design to production release

Deliver key CRE features for multiple decentralized oracle network environments

Contribute to cutting-edge voice cloning technology

Implement low latency and cost-effective text-to-speech systems

Develop state-of-the-art voice cloning technology

Implement low latency and cost-effective text-to-speech solutions

Develop state-of-the-art voice cloning solutions

Implement low latency and cost-effective text-to-speech systems

Own component-level engineering work from design to production release

Deliver key CRE features for decentralized oracle network environments

Develop state-of-the-art voice cloning technology

Implement low latency and cost-effective text-to-speech solutions

Architect and implement data pipelines

Integrate and normalize data sources

Own component-level engineering work from design through production release

Deliver key Chainlink CRE features for decentralized oracle network environments

Develop and maintain backend systems using Python.

Utilize cloud services like GCP, AWS, and Azure.

Develop and maintain backend platform for mortgage lenders

Own features from design to production release

Code, test, debug, and maintain production software for features

Collaborate with cross-functional teams to ensure smooth releases

Develop Channel Rendering and Engagement infrastructure

Ship reliable and well-tested solutions

Lead a team of FDEs in delivering AI systems in life sciences

Coach engineers and guide technical direction

Develop state-of-the-art voice cloning and text-to-speech solutions

Implement low latency and cost-effective systems

Own and deliver engineering work for Chainlink CRE features.

Prioritize reliability, correctness, and scalability in system design.

Contribute to cutting-edge voice cloning and text-to-speech technologies

Develop efficient and high-performance backend solutions

Deliver key Chainlink CRE features for decentralized oracle network services.

Maintain reliable and scalable systems for real-world usage.

Design, develop, and deliver security features with safety in mind

Collaborate with engineering teams for safe, compliant choices

Develop state-of-the-art voice cloning solutions

Implement efficient text-to-speech systems

Build high-impact features

Contribute to product direction