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Required Senior Backend Engineer - AI Framework (Python)
As a Senior Backend Engineer on our AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power our agentic ecosystem.
Youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across, making your impact immediate and company-wide.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the company.

We are looking for a Senior Data Platform Engineer to join our growing Platform team and help build the foundation that powers our products, analytics, and data-driven decision making.

In this role, you will design, build, and operate the core data infrastructure that enables engineering teams to move fast while maintaining reliability, scalability, and operational excellence. You will work across databases, streaming systems, data lakes, cloud infrastructure, and platform services, solving complex challenges around scale, performance, and resilience.

As a senior engineer, you will play a key role in shaping our data architecture, driving technical decisions, and mentoring other engineers.

Responsibilities
Design, build, and operate scalable data platform services and infrastructure.
Develop high-quality software for distributed systems and data-intensive applications.
Design and optimize data storage solutions across operational databases, data lakes, and analytical systems.
Drive database performance improvements through query optimization, indexing strategies, schema design, and capacity planning.
Build and maintain event-driven architectures and streaming data pipelines.
Develop and improve data ingestion, transformation, orchestration, and processing frameworks.
Partner with product, engineering, analytics, and AI teams to deliver scalable and reliable data solutions.
Improve platform reliability, observability, and operational excellence through automation and engineering best practices.
Build and enhance CI/CD pipelines, deployment processes, and developer tooling.
Lead architecture discussions and contribute to long-term platform strategy.
Troubleshoot complex production issues and drive root-cause analysis and preventative improvements.
Mentor engineers through code reviews, technical guidance, and knowledge sharing.

We are looking for an experienced hands-on Python Engineer who can work independently with remote teams (SW, HW, logic,) and create products that will shape the future of Quantum Computers.
The Quantum Computing SDK is the interface through which our customers run our control system. Customers use it to configure their cutting-edge system and run their ground-breaking experiments. Various institutions from world-class universities to hyper-scalers use the SDK to calibrate their delicate QBits, perform Write and Read Quantum Computing Operations and run programs in higher level Quantum Computing languages like OpenQASM3.
Responsibilities:
Develop the software for the company's Quantum Computing SDK.
Take part in all the technical aspects of the SW development from design to delivery.
Work with high standards of SW methodology, clean-code and CI.

We are looking for a Senior Developer to join our R&D team. Youll play a key role in designing and building the backend systems that power our medical applications, ensuring they are secure, scalable, and reliable.
Youll work closely with product managers, researchers, and other engineers to bring complex ideas to life and help shape the architecture behind real-world healthcare solutions.
Role & Responsibilities:
Design, build, and maintain backend services and APIs that power our core products.
Architect and implement scalable, secure, and high-performing solutions.
Work with relational databases to support product and business needs.
Collaborate with front-end, mobile, and research teams to deliver end-to-end features.
Write clean, well-documented, and thoroughly tested code.
Collaborate closely with the product and infrastructure teams to ensure smooth delivery.

Required Senior Backend Engineer (Python)
As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize how companies understand their customer interactions. We're seeking a strong Python developer who can leverage deep technical knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
Data Architecture: Architecting systems that handle massive amounts of external data, ensuring high availability and accuracy across diverse APIs and sources.
Our Evolution: Building the foundation of a new core product that directly influences how sales and marketing teams identify and reach their next customers.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.

What Youll Do:
Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction.
Design, implement, deploy and own E2E Cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture.
As all our systems are data-driven you will have an analytical aspect in measuring your modules both business and performance-wise.
Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship.
Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends.

we are looking for a Senior Backend Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principles
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews, and Code Reviews

Were looking for people who are passionate about solving problems, dont shy away from leading features and projects, and are sharp and creative enough to find outside-the-box solutions to our wide range of product initiatives



What you'll do:

Design & Scale Core Pipelines: Architect, implement, and deploy our complex, highly-scalable data processing pipeline focused on analyzing massive amounts of data.
Tackle Diverse Data Challenges: Work hands-on with vast construction data-ranging from scheduling and BIM to video processing and 3D model analysis. Architect and integrate various Computer Vision and data processing algorithms into a robust, cloud-based production environment to generate unique insights.
Ensure Performance: Maintain a relentless focus on performance, reliability, and scalability as you process data from real-world construction sites globally.
Tech Stack Focus: Develop primarily using Python in a modern cloud infrastructure (AWS preferred).
Advanced AI Integration: "Skilled in pushing AI tools to the next level- moving from simple chat interfaces to building autonomous scripts, agents, or custom workflows that optimize system performance and reliability.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance and observability are baked in from day one