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Join team to build and extend the AI assistant embedded across our product suite. The platform is a production LLM agent system that's integrated into multiple host applications, backed by a RAG knowledge base and an evaluation-driven development workflow.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.

We are looking for a Senior Product Designer who designs products and builds the tools that change how design gets done.

This role has two halves. You will own the design of a core area of the platform, end to end, at the same craft bar as everyone else on the team. Alongside that, you will build the agents, skills and internal tools that reshape how our whole design team works., and prove them on your own product area first.

We think these belong together. Someone rebuilding the workflow should be living inside it every day, so what they build survives contact with real product work. If you have been quietly automating your own design process and wishing it were your actual job, this is that job.

We already have an AI agent in the product. It works, it is early, and it is nowhere near what it should be. How far it goes, and what it grows into, is genuinely open. The designer who understands agents best will have a real voice in answering that.

This is an individual contributor role. You will mentor, and you will change how the team works, but you will not manage people.

Key Responsibilities:

Own a core product area: Take full design ownership of a significant surface, from discovery through shipped experience and beyond launch, working directly with product and engineering.
Build the agentic design toolchain: Create and maintain the skills, agents and commands the design team uses day to day, covering the path from ticket to reviewable prototype.
Prototype in working code: Move from problem statement to a clickable, testable artifact quickly by orchestrating agents to do the building while you review, steer and cut.
Orchestrate agents through a product cycle: Decide what gets delegated, what stays human, and where the human gate sits, then write it down so others can repeat it.
Make new ways of working stick: Run the rituals that turn tools into habits. Prototyping sprints, office hours, pairing, internal demos, and the documentation behind them. Retire what does not earn its place.
Keep us honest about quality: Define how we know an agent output is good, build lightweight checks for what you ship, and tell us plainly when the agentic path is worse than the manual one.

This role operates in an open, collaborative, and innovationdriven environment, leveraging modern client and server-side technologies to deliver scalable and impactful solutions.

This is a hands-on leadership role requiring a balanced allocation of responsibilities, with approximately 50% focused on engineering leadership activities such as technical reviews, planning, stakeholder management, talent development, and delivery oversight, and 50% dedicated to hands-on software engineering, including architecture, coding, design reviews, and technical problem solving.

Job Description
Key Responsibilities:

Design, develop, and deliver scalable microservices from architecture through production deployment.
Lead backend system design and implementation, ensuring robust, secure, and maintainable solutions.
Leverage GitHub Copilot and AI-assisted development tools to accelerate software delivery, improve codequality, and enhance engineering productivity.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features/components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

We are seeking an experienced Senior Developer with deep expertise in Python and AI development to join our team. The ideal candidate will have hands-on experience building AI-powered applications and agentic AI systems that can autonomously perform complex tasks.

Job Description
Design and build autonomous AI agents capable of multi-step reasoning and task execution
Work with LLMs (Large Language Models) and Agentic Frameworks (AutoGen, Microsoft Agent Framework)
Responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features / components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

We are seeking an experienced Senior Developer with deep expertise in Python and AI development to join our team.

The ideal candidate will have hands-on experience building AI-powered applications and agentic AI systems that can autonomously perform complex tasks.

Job Description
Design and build autonomous AI agents capable of multi-step reasoning and task execution
Work with LLMs (Large Language Models) and Agentic Frameworks (AutoGen, Microsoft Agent Framework)
Responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team,
with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment
Responsible for the end-to-end lifecycle of new product features / components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

As a Digital Backend Design Engineer, you will be responsible for the physical implementation of digital designs from RTL to GDSII, leveraging cutting-edge EDA tools and methodologies. You will collaborate closely with RTL design, DFT, and packaging teams to achieve optimal performance, power, and area (PPA), while meeting stringent timing and yield targets.

Required Skills and Experience
Masters or PhD degree in Electrical/Electronic Engineering or a related field.

4+ years experience in digital IC backend implementation.

Proficiency with backend EDA tools, particularly Cadence Innovus and Genus.

Strong understanding of place & route (P&R), static timing analysis (STA), DRC/LVS verification, IR drop, and electromigration (EM) analysis.

Experience with advanced technology nodes (22nm or below preferred).

Skilled in Tcl scripting for automation of backend flows.

Experience in hierarchical or full-chip implementation is preferred.

Language: English at a proficient level. French is a plus.

Design high-performance analog and mixed-signal ICs optimized for precision, power, and area, driving prototype and product iterations from architecture to silicon validation.

Responsibilities
Design and simulate analog and RF integrated circuits, including critical blocks such as amplifiers, mixers, PLLs, ADCs, DACs, and bias/reference circuits, with a focus on signal integrity, linearity, and precision.

Optimize circuits for power, area, and performance trade-offs, ensuring designs meet system-level requirements across process, voltage, and temperature (PVT) variations.

Collaborate closely with optics, simulation and PCB teams to define architecture and block-level specifications for successive prototypes and product iterations, ensuring tight alignment with overall performance and integration goals.

Work with layout engineers to guide floor-planning and physical design, minimizing parasitic effects and preserving analog precision in layout-sensitive blocks.

Support post-silicon validation and bring-up, defining test plans, analyzing lab measurements, and correlating results with simulation to refine future design iterations.

Language: English at a proficient level. French is a plus.

As a Senior Backend Engineer , you will play a pivotal role in shaping the architecture and evolution of our backend services.The technical depth of the product means you'll have real influence over how features get defined, not just how they're built.

What you'll be doing

Design, build, test, and ship cloud-native microservices, with scalability, reliability, and observability built in.
Own features from definition to release, working with product managers and customer-facing teams to land on requirements that make sense technically and commercially.
Take on problem areas that aren't yet defined - research them, form a view on how they should work at Blink, and present a direction before building it.
Work across a range of tech stacks, particularly cloud services, Linux, and containerized environments like Kubernetes and Docker.
Design and build with security at the forefront, applying key security concepts to protect our customers and their data.

We are looking for a Senior Security Product Manager to drive the strategy, development, and growth of our product, shaping how security teams automate and scale their security operations across the enterprise.

This is a strategic product role at the center of growth. You will define the product vision, translate deep security domain knowledge into scalable product capabilities, and partner across Engineering, R&D, GTM, and Customer Success to deliver exceptional outcomes. This role requires strong technical depth, security expertise, and an AI-first mindset.

What Makes This Role Unique

This role sits at the intersection of security operations, AI-powered automation, and enterprise product strategy. You will shape how Ops helps security teams work faster and smarter - operating at the strategic level to drive innovation while staying close enough to the details to ensure every initiative lands with quality and impact.

Your responsibilities
What You'll Do

Define and execute product strategy - Own the roadmap for your product areas, balancing near-term customer needs with long-term vision. Think big, plan strategically, and dive deep into the details to ensure flawless execution.
Translate security expertise into product - Draw on your security domain knowledge to deeply understand how security teams operate, and shape features that solve real operational challenges at scale.
Drive end-to-end product development - Lead initiatives from discovery through design, development, release, and iteration - including full product launches in close partnership with GTM.
Go-to-market execution - Partner with GTM to plan and execute product launches end-to-end: develop positioning, messaging, sales enablement, and launch plans that land with security practitioners and buyers alike.
Engage directly with customers - Work with enterprise customers and internal teams to understand security architectures, workflows, and unmet needs.
Own product specifications - Write clear, rigorous technical and product requirements that guide engineering and ensure high-quality delivery.
Leverage AI throughout your workflow - Use AI tools to accelerate research, synthesis, spec writing, and decision-making - and bring that same AI-first thinking to every product initiative you lead.