Staff Software Engineer, Backend (AI Platform) Job at Cresta

Staff Software Engineer - Backend Gen Ai

The Media Platform team builds Uber's unified, scalable infrastructure for inges...

Location

United States , Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years of backend engineering experience, with deep expertise in distributed systems and large-scale service architecture
Strong backend engineering experience (Go, Java, C++, or similar) with expertise in system design, performance optimization, and reliability
Experience building high-throughput, low-latency services handling large data volumes (streaming, storage, or media systems)

Job Responsibility

Architect and scale distributed backend systems that support media ingestion, processing, intelligence, and delivery across global regions
Improve performance, reliability, and cost efficiency of high-throughput media pipelines
Design infrastructure that enables efficient integration and execution of ML inference workloads within media systems
Drive technical strategy and long-term architectural decisions across the Media Platform
Mentor engineers and raise the bar for engineering excellence, operational rigor, and system design

What we offer

Bonus program
Equity award
401(k) plan
Various benefits

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer, (Backend) Uber AI Solutions

At Uber, our mission is to be the platform of choice for flexible earning opport...

Location

United States , San Francisco, California; Sunnyvale, California

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s (or Master’s) degree in Computer Science, Engineering or related discipline (or equivalent experience)
Expert in at least one major backend or infrastructure technology (languages, frameworks, distributed systems, data pipelines) and comfortable influencing architecture across teams
Strong record of mentoring and developing engineers, setting technical standards, and driving impact beyond a single team
Excellent communication and collaboration skills
able to engage with multiple teams, stakeholders, and articulate vision and trade-offs
Experience participating in hiring and helping build out engineering teams or capability
8+ years of professional software engineering experience, with substantial experience designing, building, and operating large-scale systems across multiple teams
Deep understanding of ML Ops ecosystems, LLM or ML model lifecycle management, and large-scale data processing frameworks (e.g., Kubeflow, Airflow, Ray, Spark)
Proven experience architecting systems for data labeling, translation, or human-in-the-loop workflows supporting high-volume ML applications
Strong familiarity with GenAI, Physical AI and LLM infrastructure model hosting, fine-tuning, evaluation, and integration into production services

Job Responsibility

Architect and evolve core systems that span multiple teams, ensuring scalability, performance, and long-term maintainability of critical platform services
Provide technical leadership across teams, driving alignment on design patterns, service interfaces, and shared infrastructure investments
Mentor and develop senior engineers, elevating technical depth, decision-making, and design rigor across the broader group
Champion the adoption of AI-assisted development tools and modern engineering practices to improve code quality, reliability, and delivery speed across teams
Influence hiring and talent development, helping shape team composition and maintaining a high engineering bar across multiple teams

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Software Engineer, AI Platform

GoodLeap is a technology company delivering best-in-class financing and software...

Location

United States , AUSTIN; SAN FRANCISCO; IRVINE; ROSEVILLE

Salary:

173000.00 - 200000.00 USD / Year

GoodLeap

Expiration Date

Until further notice

Requirements

5+ years of experience building and shipping scalable, robust backend services and APIs
Strong proficiency in Python and/or TypeScript
Solid understanding of distributed systems, service-oriented architecture, and event-driven patterns (e.g. Kafka, RabbitMQ, SQS)
Passion for software development, emerging technologies and culture of innovation
A collaborative mindset and interest in mentoring teammates and elevating team practices
Excellent communication and interpersonal skills

Job Responsibility

Build features and extensions to our agentic AI platform using scalable, robust, and AI-first software engineering practices
Design tools and infrastructure to enable teams at GoodLeap to easily build and enhance AI agents that empower homeowners, contractors, and operations staff
Work alongside a team of AI engineers, product managers, and data scientists to evaluate and improve our agent ecosystem
Collaborate with Staff engineers, product, architecture, and design leads to deliver highly-available, fault-tolerant products and services
Work on significant and unique technical challenges, evaluate and recommend solutions, and guide decision making by considering technical tradeoffs
Grasp both the technical and business perspective so you can help drive innovation
Work autonomously and be self-disciplined, requiring minimal supervision or guidance
Collaborate with other team members and coach more junior team members to grow both their technical skills and soft skills

What we offer

May be eligible for a bonus and equity

Fulltime

Staff Engineer - AI Platform

At Teradata, we're not just managing data; we're unleashing its full potential. ...

Location

India , Telangana

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
Experience in UI/UX design and frontend engineering
Proficiency in Angular, TypeScript, Figma, and design systems
Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
Strong system design skills and understanding of distributed systems
Experience developing native notebook interfaces or extensions (e.g., Jupyter, VS Code Notebooks, or custom notebook UIs)
Strong understanding of human-computer interaction (HCI)
Experience designing interfaces for complex workflows or ML-powered products
Experience with LLM-based tools or agent orchestration (e.g., LangChain, AutoGen)
Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines

Job Responsibility

Design and prototype interfaces for interacting with autonomous agents
Implement responsive, accessible, and explainable UI components that visualize AI decisions, uncertainty, and reasoning paths
Partner with AI researchers and software engineers to ensure interfaces support emerging agent capabilities
Conduct usability testing with humans-in-the-loop scenarios
Drive UX best practices around safety, trust calibration, and explainability for intelligent systems
Design and prototype intuitive, high-impact interfaces for interacting with autonomous and intelligent agents
Experiment with LLM APIs, agentic workflows, and cutting-edge open-source frameworks
Explore and implement planning systems, vector databases, or memory architectures such as graph-based storage on Teradata
Champion UX best practices around safety, trust calibration, and explainability for intelligent systems
Collaborate with AI researchers and software engineers to ensure interfaces evolve alongside emerging agent capabilities

What we offer

We prioritize a people-first culture
We embrace a flexible work model
We focus on well-being
We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are

Fulltime