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Join Talk and help build one of the most advanced Enterprise Conversational AI platforms. Youll develop production-ready Voice AI and Chat AI solutions used by enterprise customers worldwide, working on real-time voice infrastructure, AI orchestration, and modern web applications.
Youll be part of a fast-moving startup environment with high ownership, working closely with Product, AI, and DevOps teams to build scalable AI-powered customer experience solutions.
Key Responsibilities:
Develop production-grade AI Voice Agents and Chat Agents.
Build scalable backend services using Python and FastAPI.
Develop modern frontend applications using React and TypeScript.
Integrate OpenAI, Azure OpenAI, Gemini, Claude, and additional AI providers.
Design scalable multi-tenant SaaS architecture.
Optimize performance, latency, scalability, and system reliability.
Participate in architecture discussions and technical planning.
Ensure high code quality through testing, code reviews, and engineering best practices.

we are looking for a Release Engineering Intern.
As a Release Engineering Intern in our Tel Aviv office, youll help improve the systems that build, test and release software across .
The group is moving the R&D to an agent-ready CI/CD platform, aiming for up to 10x faster delivery with less manual build, test and release work.
Youll also work on our internal AI app-building platform, which lets employees create and deploy applications from natural-language prompts (Base44 style).
The team supports 600+ R&D engineers, around 1,300+ modules and 500+ service types across Java, JavaScript/TypeScript, Python and Go.

we are looking for a Software Engineering Team Lead.
You will own the AI platform across all Sedric product lines - customer-facing policy configuration, internal tooling, and the architectural decisions that determine whether we scale reliably or expensively. Your responsibilities include:
Lead an engineering team - own output, growth, and retention
Build and evolve agentic systems that make high-stakes compliance decisions at scale: 99% accuracy, low cost, high throughput
Set guardrails, change management practices, and engineering procedures that meet the expectations of tier-1 financial institutions
Own customer-facing policy workflows and internal tooling for Technical Account Managers
Partner with the Head of R&D on technical direction and hiring

We are a well-funded, early-stage startup looking for a Frontend / Fullstack Engineer to join our founding team. In this role, you will help build cutting-edge web applications and platforms that bring autonomous AI agents to life, automating complex enterprise workflows. You will play a critical role in shaping intuitive, responsive UIs and robust backend APIs that connect AI-driven agents to real-world enterprise systems (ERP, CRM, and more).

This is an opportunity to influence the architecture, design, and user experience of next-generation AI-powered automation solutions for large-scale enterprise environments.

Your Impact
Product & Frontend Development

Design and develop modern, intuitive, and responsive frontend interfaces that allow users to interact seamlessly with AI agents and automated workflows.

Create user dashboards, workflow builders, and visualization tools to monitor AI-driven automation in real time.

Collaborate with design and product teams to bring complex AI capabilities into simple and usable UI experiences.

API and Fullstack Engineering

Develop robust backend APIs that connect AI agents to enterprise data sources and external systems (ERP, CRM, document management systems).

Implement REST and GraphQL APIs to expose AI agent functionalities to the frontend.

Handle real-time communication, event streams, and notifications to keep users informed of workflow progress.

AI Integration & Collaboration

Collaborate closely with AI/ML engineers to integrate AI agent outputs into the product, including document processing, data extraction, and decision-making workflows.

Manage and present AI agent-generated data in user-friendly formats and visualizations.

Team Collaboration & Culture

Work closely with AI engineers, product designers, and enterprise customers to align AI capabilities with real business needs.

Participate in code reviews, architecture discussions, and feature planning.

Help shape the companys engineering culture and best practices as part of the founding team.

We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer specializing in infrastructure to join our founding team. The focus of this role is to build and scale the infrastructure that powers autonomous AI agents automating complex enterprise workflows. You will own the systems, pipelines, and platforms that let our AI agents run reliably, securely, and at scale in production.

Your Impact
Infrastructure & Platform

Design, build, and own the core infrastructure powering our AI agent platform, from data pipelines to production deployment systems.

Build and scale the backend systems that support high-throughput document processing and data extraction workloads.

Cloud Infrastructure and Scalability

Architect and deploy infrastructure on cloud platforms (AWS, GCP, or Azure) with a focus on scalability, reliability, and cost efficiency.

Own containerization and orchestration (Docker, Kubernetes) for all production workloads.

Build and maintain CI/CD pipelines and DevOps practices that let the team ship fast without breaking things.

Data Infrastructure

Design and manage data pipelines to process and analyze large volumes of documents and unstructured data at scale.

Build the infrastructure layer connecting AI agents to databases, vector stores, and enterprise systems (ERP, CRM).

API & Systems Integration

Build and maintain robust, well-documented APIs connecting AI agents with external systems and enterprise software.

Design for reliability: retries, observability, and graceful degradation across distributed systems.

Security and Compliance

Implement authentication and authorization mechanisms (OAuth2, JWT) to secure AI-driven systems.

Ensure compliance with data privacy standards (e.g. GDPR, HIPAA) and drive best practices for secure data handling across the infrastructure.

Monitoring and Optimization

Build observability and monitoring systems to track infrastructure health, performance, and cost.

Continuously optimize system performance for speed, reliability, and cost-efficiency at scale.

Collaboration

Work closely with AI/ML engineers, product, and the founding team to make sure infrastructure decisions support fast iteration and production-grade reliability.

Participate in code reviews, design discussions, and architecture planning to drive infrastructure strategy.

we are looking for a Senior Software Engineer.
As a Senior Software Engineer, you will be responsible for designing and building core backend services and product capabilities, working on scalable systems that handle large volumes of security-related data, and developing robust features that improve security posture in cloud environments.
The ideal candidate will have strong software engineering foundations, a product-minded approach, and experience building distributed systems in production.
You will collaborate closely with Product, Research, and Engineering teams to deliver secure, performant, and reliable solutions end-to-end.
You will work within the engineering department, contributing to architecture decisions, improving code quality, scalability, and reliability, while maintaining strong ownership over development and delivery in a fast-paced environment.

We're forming a new AI Group and looking for a Senior AI Engineer to help shape it from an early stage - a greenfield, long-term effort to evolve how decisions are made across the platform using AI-driven systems. You won't just integrate APIs or build demos; you'll build the AI brain that works alongside (and increasingly drives) our core automation engine, with real production impact from day one and room to grow into technical leadership as the group scales.

Agentic AI Architecture: Design and build autonomous AI agents that analyze infrastructure in real time and make intelligent decisions. Work with modern agentic frameworks (LangGraph, PydanticAI) and conversational AI to create multi-agent systems - including troubleshooting, optimization, FinOps, and how-to agents. Leverage core LLM capabilities (tool-use, memory, retrieval) to operate safely in production.
Platform Integration & Intelligent Decision Systems: Develop MCPs to expose capabilities to AI agents that reason over infrastructure environments, metrics, configurations, and cost signals. Build integrations with tools like Slack, Jira, and AI-powered IDEs (Cursor, Windsurf) to deliver context-aware insights, from "why is this pod not scheduling?" to "how can we reduce costs by 30% safely?"
AI Model Development & MLOps: Build and deploy machine learning models that learn from infrastructure patterns - detecting the right resource policies for workloads, predicting optimal scaling triggers, and recommending GPU configurations. Own the complete ML pipeline from training to production, ensuring models are reliable, monitored, and continuously improving.
R&D AI Tools Development & Adoption: Build and embed internal AI tools to accelerate engineering, development, research, and support.
AI Tools for Business Impact: Develop AI-powered tools that help Sales and Support teams demonstrate value instantly - agents that analyze customer infrastructure, generate cost optimization reports automatically, and turn technical data into clear business recommendations.
End-to-End Ownership: Own AI systems from concept to production, ensuring they're fast (sub-2-second responses), reliable, safe, and cost-effective. Build evaluation frameworks to measure quality, implement security controls, and balance performance tradeoffs in production.
Technical Leadership: Define AI architecture and best practices as a founding member of the AI team. Make key technical decisions - choosing frameworks, designing multi-agent systems, establishing data governance - and shape how evolves from AI-enhanced internal tools to customer-facing AI products.

We are seeking an experienced and highly motivated Senior DevOps Engineer to join our engineering and DevOps team. As a Senior DevOps Engineer, you will be the architect of our infrastructure, ensuring that platform is scalable, resilient, and secure. This is a hands-on role where you will bridge the gap between development and operations, automating our deployment pipelines and managing our cloud-native ecosystem. This is an incredible opportunity to shape the foundational infrastructure of a high-growth data company.

What You'll Do

Design, implement, and manage our cloud infrastructure using tools like Terraform, ensuring environment consistency and scalability.

CI/CD Automation: Take full ownership of our deployment pipelines, optimizing for speed, reliability, and developer productivity.

Cloud Orchestration: Manage and scale our Kubernetes (K8s) clusters on AWS, ensuring high availability and efficient resource utilization.

Observability & Monitoring: Implement and maintain robust monitoring, logging, and alerting systems to ensure platform health and rapid incident response.

Security & Compliance: Drive security best practices across the infrastructure, including IAM management, network security, and vulnerability scanning.

Collaborate: Work closely with software engineers to optimize application performance, containerization strategies, and database reliability.

We Are more than a Professional Services firm, we are a community of people driven by impact. As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies. Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society. About the Role We're looking for a AI backend Engineer with a data science foundation to join our AI team and build production systems that integrate Generative AI capabilities. You'll design and implement end-to-end solutions APIs, databases, orchestration, and cloud infrastructure for clients across a wide range of sectors. This role is ideal for someone who thinks in systems, enjoys working with GenAI technologies, and wants to grow into designing complex architectures. You'll work alongside senior engineers on real delivery projects from day one. Key Responsibilities Design and build backend systems APIs, databases, authentication, and integrations Implement multi-agent architectures and orchestration workflows combining LLMs with backend logic Deploy and maintain systems on GCP, Azure, or AWS Optimize AI system performance, cost, and reliability Collaborate with client teams, DevOps, and stakeholders on project delivery Contribute to technical discussions and solution design

we are looking for a Senior Backend Engineer.
Here, you define your tech journey: choose the technologies you want to master, set your own growth path, and gain the hands-on experience to become a Backend Tech Lead.
Work with top-tier companies, tackle complex engineering challenges, and leave your mark on large-scale systems - all while staying at the forefront of technology.
This is a hybrid position.
What Youll Do:
Architect, design, and build high-performance, scalable backend systems.
Work with advanced algorithms, data structures & distributed computing.
Design and implement robust, secure APIs.
Use best practices to ensure flexibility, extensibility, and maintainability.
Develop SQL & NoSQL persistence solutions with optimal data modeling & performance.
Build and scale cloud-based infrastructures.

we are hiring a Fullstack Developer!
Help shape the future of building operations by creating products that transform how people interact with their buildings.
Here, you wont just write code, youll create products that redefine how people interact with the built world.
Youll work with cutting-edge technologies across the stack, solve meaningful real-world challenges alongside a talented cross-functional team, and have the freedom to innovate, optimize, and make a visible impact.
Responsibilities:
Own the end-to-end development of product features, ensuring high-quality delivery from initial planning, execution, testing and deployment.
Design and implement well-architected systems and services that integrate seamlessly within ecosystem to push our bar higher.
Collaborate with product, design, customer experience to deliver impactful features that enhance user experience.
Enhance system performance, scalability, and reliability while streamlining CI/CD pipelines using AWS and Kubernetes best practices.
Conduct thorough code reviews to maintain high standards across the team.
Stay current with industry trends, continuously expand your expertise, and apply new learnings to improve products.

We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
The Responsibilities:
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization

Required Software Engineer III, Cloud Networking
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
This Team owns the core data plane infrastructure for all NAT-based products within the Andromeda network stack (e.g., private service connect (PSC) and Cloud network address translation (NAT). These products serve as critical entry and exit gateways that securely connect Cloud customers to their services and networks.
Responsibilities
Design, develop, test, and maintain high-performance software for our Cloud's core networking and secure connectivity platforms.
Manage complex scalability, resource efficiency, and performance optimization challenges to evolve our cloud networking datapath.
Collaborate with cross-functional engineering partners to define and build new network architectures and routing methods.
Manage individual project priorities, deadlines, and deliverables, ensuring high engineering velocity and robust code quality.
Participate in operational rotations, monitor production health, and troubleshoot packet latency or connectivity issues to keep our global systems healthy.

Were looking for a hands-on Senior Automation Engineer to join our QA Automation team and play a key role in shaping the quality, scalability, and reliability of SaaS cyber platform.
In this role, youll own and evolve automation strategy, design robust testing systems, and influence engineering practices across teams. Youll work on complex cloud, security, and data-driven flows, while using AI tools as part of your daily workflow to accelerate development, improve test coverage, investigate failures, and increase automation efficiency.
The Responsibilities:
Lead the design, development, and maintenance of automated tests across UI, API, and integration layers.
Collaborate closely with developers and QA engineers to define robust test strategies and drive quality from the ground up.
Build and evolve scalable, maintainable test frameworks that empower fast and confident delivery.
Integrate automation into CI/CD pipelines, maintaining high coverage across services and components.
Participate in feature planning to align test efforts early and ensure full lifecycle coverage.
Leverage infrastructure-as-code and scripting to streamline and optimize testing environments.