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We are looking for a Senior AI Software Engineer to build the agents that sit on top of our search platform: systems that take a user's intent, break it into steps, gather and verify information from the web, and return answers an agent can act on. You will work across applied research and engineering, designing how agents plan, call tools, retrieve, and reason so they accomplish open-ended tasks reliably and at scale.

This is a high-ownership role at the intersection of agent systems, retrieval, and product. You will turn frontier-model capabilities into dependable, production-grade agent behavior, and you will own that behavior end to end, from the prompts and tools to the evaluation that proves it works.

In this position, your responsibility will be to

Design and build AI agents that plan, retrieve, and reason over real-world information to complete open-ended tasks

Build the tool interfaces and context engineering that let frontier models use our search and other tools effectively

Mine and analyze usage data to build agents that learn and improve continually from how they are used

Turn new model capabilities into reliable product features, and own them from prototype to production

Define the evaluations, metrics, and guardrails that prove an agent is accurate, grounded, and safe

Improve agent quality across reasoning, planning, tool use, and grounding against real user tasks

Build the backend and infrastructure that run agents reliably under high volume

Collaborate with the search, ML, and product teams to make agent and platform capabilities reinforce each other

Were looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

Were looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes - youll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
Build and evolve platform-level capabilities: platform architecture and operating model-multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.
Example projects
Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10-100x cluster growth.
Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.
Tech stack
Core: modern C++ (C++20, async + multithreaded primitives)
Services & tooling: Go and Python (microservices, utilities, integration tests)

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include:

Designing and developing LLM training platform.
Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
Improving job scheduling strategies to minimize resource fragmentation.

As a Senior Software Engineer on a search vertical, you'll help build systems that capture what is true about a domain. You'll work on extracting, connecting, retrieving, and reasoning over knowledge from the web and beyond, turning messy, real-world data into structured, trustworthy knowledge so AI agents can answer questions with precision and completeness.

You will optimize the retrieval and knowledge layer for a vertical: how a domain's content is indexed, linked into entities, ranked, and continuously refreshed, then measured and improved against rigorous IR metrics. This is an information-retrieval and systems role spanning indexing internals, hybrid retrieval, and entity resolution, with the goal of making each vertical the best place in the world to search its domain.

In this position, your responsibility will be to

Design, implement, and operate the retrieval system for a search vertical

Connect and tune the data pipeline, from ingestion to relevance tuning

Build knowledge-graph and entity-resolution layers: entity linking / NER, ontologies, and graph databases (Neo4j or similar)

Develop structured-extraction pipelines over messy, unstructured domain data

Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it

Define evaluation and quality metrics for relevance and drive measurable improvements

Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met

Enable safe experimentation with retrieval, ranking, and extraction strategies

We are looking for a strong technical leader to lead our Runtime team - one of the most critical backend teams. The Runtime team owns the execution layer of all our automations, the core of our product. The team operates at a significant scale, processing hundreds of millions of steps and millions of security events every day in systems that simply cannot break.

You will lead a strong team of five senior engineers and take ownership of both the people and the technology. This role combines team management with deep technical leadership: developing engineers, setting the technical vision, leading design and architecture decisions, and staying close enough to the code to step in when needed.

What Will You Do?
Lead, mentor, and develop a team of five experienced backend engineers.
Own the teams technical vision, priorities, execution, and long-term direction.
Lead the design and implementation of architectural changes that keep our platform reliable at massive scale.
Drive complex, cross-team projects and influence technical decisions beyond your immediate team.
Lead production incidents and post-mortems, and continuously raise the bar for reliability and operational excellence.
Identify risks and problems before they impact production, and build the processes and infrastructure needed to prevent them.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Use data to understand how customers interact with the platform and turn emerging use cases into new product capabilities.
Help lead significant technical initiatives, including the evolution from GCP toward a Multi-Cloud architecture.
Work with modern AI tools such as Cursor and Claude Code as a core part of the development workflow, while maintaining deep technical understanding and high-quality standards.

We are looking for an Senior/Staff Application Security Engineer who will ensure the security of our software by identifying and mitigating vulnerabilities, implementing best security practices, and collaborating with development teams. The ideal candidate will have a strong background in secure coding, threat modeling and building Secure SDLC.

What you will do
Build and maintain Application Security Posture Management (ASPM) at the Company scale.
Automate and support SAST, SCA tools, etc as part of CI/CD pipelines.
Improving SAST, secrets detection rules. Keeping false positive rate low.
Identify, analyze, and remediate application security vulnerabilities.
Collaborate with development teams to integrate security best practices into the software development lifecycle (SDLC).
Develop and maintain secure coding guidelines for development teams.
Conduct, run threat modeling and risk assessments for new and existing applications.
Provide development teams with instruments that facilitate security-related work like threat modelling, vulnerability detection, etc.
Stay updated on the latest security threats, vulnerabilities, and mitigation techniques.
Serve as an application security subject matter expert to other teams.

We are looking for a strong technical leader to lead one of our product-focused R&D teams at Torq.

This team owns meaningful product capabilities used across the Torq platform and works closely with Product, Design, and other engineering teams. The role combines people management, technical leadership, and strong product thinking - from understanding customer needs and shaping solutions to delivering high-quality features in production.

You will lead a team of experienced engineers, develop their skills, set clear priorities, and create an environment of ownership, collaboration, and continuous improvement. At the same time, youll stay close to the technology, lead design decisions, and step into the code when needed.

What Will You Do?
Lead, mentor, and develop a team of engineers.
Own the teams execution, priorities, and long-term direction.
Work closely with Product and Design to turn customer needs into simple, scalable solutions.
Lead features and projects from early definition and design through production.
Drive technical design and architecture decisions while balancing product needs, quality, and delivery.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Build strong collaboration with other teams and lead cross-team initiatives.
Create clear processes and ownership as the team and its scope continue to grow.
Take part in hiring and help shape the teams professional standards and culture.
Use modern AI tools such as Cursor and Claude Code as part of the development workflow while maintaining high-quality engineering standards.

We are looking for an Senior/Staff Infrastructure Security Engineer to secure our cloud and on-premises infrastructure by implementing security controls, monitoring threats, ensuring compliance with industry standards and respond to security incidents. The ideal candidate has a strong background in cloud security, Linux hardening, and network security.

Your responsibilities will include:

Design and implement security measures to protect cloud and on-premises infrastructure.

Identify and remediate vulnerabilities in cloud environments, networks, and operating systems.

Build and maintain cloud and infrastructure security tools.

Perform security reviews, threat modeling and risk assessments of infrastructure components.

Develop and maintain security guidelines for Network and SRE teams.

Collaborate with Network and SRE teams to integrate security best practices into their processes and systems.

Stay updated on the latest security threats, vulnerabilities, and mitigation techniques.

Serve as an network and infrastructure security subject matter expert to other teams.

As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, youll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. Youll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.Youll play a key role in scaling our global infrastructure footprint across the EU markets.

Travel: This position may require on-site presence at data centers during key deployment phases.

Your responsibilities will include:

Lead end-to-end delivery of new data center programs, from design through handover to operations.
Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution.
Translate business and technical requirements into actionable project plans and measurable deliverables.
Oversee vendor and contractor execution, ensuring quality, budget, and schedule.
Provide structured program reporting, including dashboards, documentation, and executive updates.

We are looking for a DevOps Engineer to join our fast growing company and in a breakthrough stage where we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high quality and innovative solutions with the latest technologies and frameworks. And we never forget to enjoy the ride along the way!

What Youll Be Doing:
Championing DevOps culture: Identify friction points and implement scalable automation to improve reliability, delivery speed, and developer experience.
Operating and optimizing production environments: Leverage infrastructure as code and modern observability tools to ensure stability and performance.
Empowering R&D: Build intuitive internal tools that foster a self-service culture and enable teams to own their operational workflows.
Leading deployment lifecycles: Drive architecture, design, and hands-on implementation for deployments across multiple regions and environments.
Driving innovation with impact: Collaborate across teams, challenge the status quo, and take ownership of technical decisions.

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

Youre welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include:

Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by AI.
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We are looking for a strong Data Engineer to be part of one of our most strategic initiatives - building the context graph that powers our AI-SOC platform. Our team is building the context layer behind our AI Agents, transforming raw customer data into meaningful, normalized context that enables smarter autonomous security decisions.

This is a unique opportunity to join a brand-new, small, senior team with high ownership, strong product influence, and the chance to build foundational AI infrastructure from the ground up.

What Youll Be Doing:
Think like a product person - collaborate with stakeholders and consumers to design meaningful data models and continuously validate them against real customer data.
Run POCs work end to end - connect a new data source, ingest and normalize it, correlate entities across systems, and demonstrate the value.
Do the analysis that shapes the model - profile new data, measure coverage and accuracy, and find the gaps that matter to the product.
Integrate identity, endpoint, and security data sources - learn how each system exposes its data and turn it into reliable, consistent models.
Build and own scalable data pipelines, transforming raw data into clean, normalized, and well-tested models using Python, SQL, and dbt.

We're hiring a Technical Support Engineer to provide excellent customer support for highly technical users, from AI engineers to infrastructure architects. You'll be monitoring incoming tickets, fielding requests, helping teams debug production LLM applications and agents, and ensuring critical issues get resolved quickly. You'll be a key part of delivering world-class technical support for modern AI platforms.

Your responsibilities will include:

Monitor incoming support tickets and provide timely responses to technical support inquiries-diagnosing issues across customer setup, Tavily products, and deployment issues
Escalate queries to Engineering and Customer Success if required depending on scope and impact
Field requests as part of our follow-the-sun support coverage to ensure customers get help when they need it
Collaborate with engineering, operations, documentation, and product teams to escalate and resolve bugs, and communicate customer needs
Use and help improve internal tooling, diagnostics, and runbooks for issue triage
Participate in post-mortems for critical incidents and help document learnings
Track KPIs for support health (CSAT, bug recurrence) and contribute to continuous improvement efforts
Help improve documentation and knowledge articles to enhance self-service resources