Full-stack Engineer

• Define and own the technical vision for the AI Agents tribe across the stack
• Drive major architectural decisions — from agent communication protocols to data modeling
• Independently scope and implement complex end-to-end solutions
• Plan and execute projects that span multiple teams within the tribe
• Mentor Software Engineers, providing actionable feedback on strategy, impact, execution, and technical depth
• Define canonical patterns and lead-by-example on testing, performance, observability, and security.

Senior Fullstack Engineer – AI

• Comprendre les produits de l'équipe et leurs interactions avec les centrales d'intrusion.
• Étudier le code existant, le workflow de développement et l'environnement de test.
• Lire la documentation des équipements et comprendre les protocoles de communication concernés.
• Identifier les comportements importants à reproduire : réponses aux commandes, changements d'état, événements, erreurs et délais de réponse.
• Concevoir une architecture de simulateur maintenable et extensible par l'équipe.
• Développer l'application desktop en C#/.NET ou en Go.
• Prévoir un mécanisme permettant de créer et configurer des scénarios, sans les coder en dur dans l'application.
• Prévoir des journaux, traces ou vues d'inspection lorsque cela aide au diagnostic.
• Valider le simulateur avec le tuteur et les ingénieurs de l'équipe.
• Documenter l'installation, l'utilisation, l'architecture, les limites connues et les pistes d'évolution.

Ingénieur logiciel, Stagiaire

• Lead the project's AI strategy
• Ensure software quality
• Implement AI agents
• Work iteratively and deliver regularly

Consultant, AI Software Engineer

• Concevoir des systèmes distribués et scalables
• Contribuer au code, prototyper et examiner des fonctionnalités critiques
• Mentorer des ingénieurs et promouvoir l'excellence technique
• Collaborer avec plusieurs équipes pour influencer les feuilles de route

Staff Software Engineer, Full Remote or Hybrid

• Develop any task within the sprint
• Work on any part of the code within the scope of the team
• Define the technical architecture of any project within their scope
• Conduct technical Proofs of Concept early in the project lifecycle
• Advocate for technical refactoring during roadmap projects
• Review and test pull requests within the team
• Create load testing scenarios and implement them
• Manage all bugs within the team’s scope
• Submit pull requests to resolve cross-functional bugs
• Understand the scopes of other teams
• Provide “high-level” estimates for roadmap projects
• Mentor junior developers (IC1 and IC2) on the team.

Experienced Fullstack JS Developer – CDI

• Design, build, and operate the core payment platform (Stripe and other PSP integrations, webhook consumers, ledgering, retries, and reconciliation) that every other squad plugs into
• Make our payment path resilient under heavy traffic spikes, especially during on-sale moments, with load-shedding, queuing, and async confirmation flows that keep the buyer experience smooth
• Strengthen our asynchronous architecture around PSP webhooks: handle out-of-order events, replays, partial failures and so on
• Model and evolve complex money flows across multiple countries, currencies, and stakeholders: split payments, payouts, refunds and chargebacks, marketplace fees, VAT and sales tax across Europe, the US, and LATAM
• Drive regulatory and compliance topics end-to-end and turn them into durable, scalable product solutions
• Bring compliance work into product-owned systems, with proper data models, audit trails, and automation
• Partner closely with the rest of the squad and stakeholders across legal, finance, ops, and other engineering squads, surfacing compliance and scalability implications

Senior Software Engineer – Payment, Compliance

• Design and develop ultra-high-performance backends using Python and FastAPI
• Master and leverage the full potential of Anthropic models (Claude)
• Implement advanced RAG architectures and connect LLMs to company databases and APIs
• Ensure the maintainability, security, and performance of the code delivered

AI Software Engineer – Augmented Developer

• Managing all aspects of plant acoustic engineering during technical bid preparation, project execution, and R&D activities
• Ensuring compliance with customer and regulatory noise requirements by performing plant noise studies and preparing acoustic specifications
• Analyzing customer and regulatory acoustic requirements
• Writing the noise-related chapters of contracts and consortium agreements
• Interfacing with customers, partners, suppliers, and engineering departments

Senior Engineer – Acoustics

• Design, build, and operate backend services and APIs that power conversational and agentic AI features.
• Implement the services needed for context management, tool invocation, rich content access, and multi-step orchestration.
• Build robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost-aware usage.
• Ensure these services are designed for production from day one, with strong standards on reliability, maintainability, and security.
• Partner with the IC5 Staff Engineer to implement the architecture supporting AI-native product experiences.
• Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads.
• Help define how applicative squads can expose MCP-compatible tools and capabilities to central AI services.
• Translate high-level architectural direction into concrete technical implementations and scalable engineering patterns.
• Own complex backend components end-to-end, from design and implementation to deployment and maintenance.
• Contribute directly to proof-of-concepts and experiments, then harden the successful ones into reliable production services.
• Review code, challenge design decisions, and raise the quality bar on backend engineering within the squad.
• Instrument services with logs, tracing, and metrics to ensure strong production visibility and fast iteration.
• Help define and uphold quality standards around latency, failure handling, cost efficiency, and resilience.
• Collaborate with Product Managers and Designers to turn AI product concepts into concrete backend capabilities.

Software Engineer – AI

• Design, build, and operate backend services and APIs that power conversational and agentic AI features.
• Implement the services needed for context management, tool invocation, rich content access, and multi-step orchestration.
• Build robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost-aware usage.
• Ensure these services are designed for production from day one, with strong standards on reliability, maintainability, and security.
• Partner with the IC5 Staff Engineer to implement the architecture supporting AI-native product experiences.
• Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads.
• Help define how applicative squads can expose MCP-compatible tools and capabilities to central AI services.
• Translate high-level architectural direction into concrete technical implementations and scalable engineering patterns.
• Own complex backend components end-to-end, from design and implementation to deployment and maintenance.
• Contribute directly to proof-of-concepts and experiments, then harden the successful ones into reliable production services.
• Review code, challenge design decisions, and raise the quality bar on backend engineering within the squad.
• Instrument services with logs, tracing, and metrics to ensure strong production visibility and fast iteration.
• Help define and uphold quality standards around latency, failure handling, cost efficiency, and resilience.
• Collaborate with Product Managers and Designers to turn AI product concepts into concrete backend capabilities.
• Partner with applicative squads to connect backend services with the tools, context, and business actions needed by AI systems.

Senior Software Engineer – AI

• Lead the development and delivery of web-based solutions that directly support Sophia Genetics’ business objectives in digital healthcare.
• Work closely with product, QA, and cross-functional teams to ensure our platform meets market needs, regulatory standards, and performance goals.
• Understand business needs and translate them into effective technical solutions.
• Optimize workflows and contribute to the scalability and commercial success of our SaaS platform.
• Develop and optimize web-based services and components.
• Own and drive the full lifecycle of complex, high-performance software systems.
• Enhance system performance through database optimization.
• Orchestrate cross-functional projects by collaborating with Product, QA, Architecture, and other teams.
• Lead code reviews and mentor junior engineers.
• Streamline SDLC processes, integrating Agile, CI/CD, and DevOps tools.
• Bridge technical execution with business goals by understanding the genomics and digital healthcare domain.

Senior Full-Stack Software Engineer

• Build a new agent capability from scratch
• Design an onboarding flow that doubles activation
• Improve infrastructure supporting millions of executions
• Talk directly with power users
• Ship a feature in the morning and iterate on feedback the same afternoon
• Use AI to prototype something in hours that would previously have taken weeks

Product Engineer

• Design, build, and evolve core AdManager features across campaign setup, reporting, onboarding, creatives management, payments, account management, and AI-powered workflows
• Own complex initiatives from conception to production with minimal supervision
• Translate ambiguous product needs into clear technical plans, milestones, and production-ready features
• Collaborate closely with product managers, engineers, and business stakeholders to deliver high-quality advertiser experiences
• Build and maintain robust user-facing experiences using Next.js, React and Typescript
• Design scalable APIs, services, database schemas, and domain models that remain maintainable as the platform grows
• Work with PostgreSQL and backend systems to support reliable advertiser workflows and reporting experiences
• Apply strong engineering practices, including testing, clear architecture, and thoughtful code reviews
• Ship features with appropriate monitoring, logging, alerting, analytics, and observability
• Investigate, debug, and resolve production issues for the systems you build
• Contribute to incident response and postmortems with clear communication and ownership
• Improve codebase maintainability, documentation, conventions, and developer experience beyond your assigned tickets
• Understand advertiser workflows and proactively identify better product or technical solutions
• Challenge weak assumptions and propose pragmatic alternatives that balance speed, business impact, and long-term quality
• Use AI-assisted development workflows to accelerate delivery while maintaining a high bar for correctness and maintainability
• Contribute positively to a shared codebase and a collaborative, low-ego engineering culture.

Fullstack Engineer – AdManager, Freelance

• Design and scale AI-powered healthcare platforms and distributed systems
• Build and optimize agent-based architectures and orchestration systems
• Develop secure healthcare data infrastructure and enterprise integrations
• Work on systems leveraging LLMs, AI agents, reinforcement learning, and modern AI technologies
• Improve system performance, reliability, scalability, and clinical accuracy
• Collaborate closely with founders and a highly technical engineering team
• Take ownership of technical decisions from architecture through deployment

Principal Software Engineer, Healthcare AI

• Own the development and continuous improvement of Joko AI
• Own the architecture of our agentic system
• Design and run robust evaluation frameworks
• Expand the set of tools and capabilities for Joko AI
• Tackle challenges of data ingestion at scale
• Leverage data to understand user preferences and enhance personalization
• Prototype and iterate on new challenges and features
• Stay on top of the latest models and frameworks
• Fine-tune models for quality and efficiency
• Collaborate closely with the Product team to define UX and implement improvements

AI Software Engineer – Senior/Staff Level

• Translate product visions or operational needs into robust software architectures and implement them across the stack to ensure an exceptional user experience.
• Dive into challenging technical problems, often involving new and undefined areas, using innovative approaches to develop practical solutions.
• Take projects from development to deployment, collaborating with Product and Data teams to monitor their impact.
• Set technical direction, own architecture decisions on complex systems, mentor engineers across the team, and drive the hardest technical discussions to a resolution.
• Work closely with the Product and Operations teams to align technical projects with company goals.
• Continuously evaluate and improve team processes and tools to ensure maximum efficiency and effectiveness.

Software Engineer – Senior/Staff Level

• Define and evolve AI architecture choices: ML, deep learning, generative AI, LLMs
• Design robust, scalable AI solutions aligned with business objectives
• Ensure the technical quality of deliverables and oversee code reviews
• Drive technology choices and maintain active monitoring of AI innovations
• Establish engineering best practices (testing, code review, standards)
• Lead and develop a team of AI Engineers (junior to senior profiles)
• Structure AI engineering practices: code standards, MLOps, documentation
• Contribute to the recruitment and career development of AI profiles within Keyrus
• Run technical workshops and share knowledge within the practice
• Manage end-to-end production deployment of AI use cases (from POC to production)
• Design and implement advanced RAG architectures (ingestion, indexing, generation)
• Optimize GenAI systems (prompt engineering, fine-tuning, evaluation)
• Implement data pipelines and model monitoring systems
• Interact directly with clients: scoping, reporting, strategic advisory
• Ensure performance, security, and cost optimization of deployed AI solutions

Tech Lead AI

• Guidage des clients vers les solutions Data les plus pertinentes.
• Conception des écosystèmes robustes (Cloud, stockage, intégration).
• Transformation des données en insights stratégiques.
• Garantie de la qualité technique et fonctionnelle des solutions.
• Participation à la formation des équipes.

Tech Lead, Data

• Responsible for managing all aspects of plant acoustic engineering during technical bid preparation, project execution, and R&D activities
• Analyze customer and regulatory acoustic requirements
• Perform plant noise studies to ensure compliance with near-field and far-field noise requirements
• Write acoustic specifications for products and BOP equipment
• Evaluate existing site conditions and support the development of plant arrangement with acoustic considerations
• Write the noise-related chapters of contracts and consortium agreements and participate in technical negotiations
• Interface with customers, partners, suppliers, commercial/sales teams, engineering departments, and other GE Vernova teams
• Participate in design reviews
• Provide acoustic expertise to suppliers, partners, and other GE Vernova teams
• Check contractual noise test procedures
• Perform acoustic measurements on site in case of noise exceedance or to validate new equipment or suppliers

• Based on the chosen architecture, define the technical design solutions, taking into account client requirements and the constraints of the PLM solution (3DEXPERIENCE, Windchill, Teamcenter).
• Set up development environments and the integration pipeline (Jenkins, SonarQube).
• Monitor the implementation of specific features (application customization in Java, C++, Python).
• Ensure delivery quality (code reviews, integration testing) and meet delivery deadlines.
• Be responsible for the day-to-day coordination of the team and act as the liaison with project management (project reporting, escalation of issues).
• Contribute to responses to tenders (definition of the technical solution and estimation of development effort).

See all jobs on JobTailor

Senior Fullstack Engineer – AI

Ingénieur logiciel, Stagiaire

Consultant, AI Software Engineer

Staff Software Engineer, Full Remote or Hybrid

Experienced Fullstack JS Developer – CDI

Senior Software Engineer – Payment, Compliance

AI Software Engineer – Augmented Developer

Senior Engineer – Acoustics

Software Engineer – AI

Senior Software Engineer – AI

Senior Full-Stack Software Engineer

Product Engineer

Fullstack Engineer – AdManager, Freelance

Principal Software Engineer, Healthcare AI

AI Software Engineer – Senior/Staff Level

Software Engineer – Senior/Staff Level

Tech Lead AI

Tech Lead, Data

Senior Engineer – Acoustics

Technical Lead, PLM