Agent Builder Job at Mirakl (Paris)

Senior Product Manager, Agent Builder

Plaud is building the next generation intelligence infrastructure and interfaces...

Location

United States , San Francisco

Salary:

170000.00 - 200000.00 USD / Year

Plaud

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
At least 5 years of experience working in global companies
At least 1 year experience building agent product that has achieved 0–1 adoption by users
Capable of building demos using vibe coding
Good knowledge of engineering and AI
Comfortable working across time zones and collaborating asynchronously
Strong communication skills with empathy
Adaptive, collaborative, and proactive in driving outcomes

Job Responsibility

Own the vision, strategy, and roadmap for the Plaud Agent Builder Platform, enabling users and partners to build, customize, and deploy AI agents seamlessly
Define and drive core product capabilities — including agent orchestration, workflow design, integrations, and developer/creator tools — balancing innovation speed with scalability and reliability
Collaborate cross-functionally with AI research, engineering, design, and business teams to ship platform features that expand the ecosystem and user adoption
Understand and translate market/user insights into platform improvements, ensuring Plaud’s agent builder becomes the industry standard for AI-native productivity tools
Measure impact and iterate fast — own key growth and engagement metrics while leading experiments that improve developer and creator success on the platform

What we offer

Top-tier healthcare for employees and dependents, including dental and vision, and a generous employer subsidy
401(k) plan for full time employees with company matching
Unlimited PTO, plus 13 paid holidays
12 weeks of paid time off to spend time with your new family, regardless of gender
New hires are equipped with their choice of new top-of-the-line laptops and workstation setups
Best office equipment
Annual offsites
Free office drinks and snacks

Fulltime

Agentforce Specialist - AI Solutions

We are looking for an Agentforce Specialist to join our team and contribute to t...

Location

Italy , Assago

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Minimum of 6 months hands-on experience with Agentforce
solid background as a Salesforce Developer is essential, with practical experience in Apex, LWC, and Salesforce Flow
technical skills required: Agentic AI Gen, Salesforce CRM, Salesforce Service Cloud, Salesforce Agentforce, Salesforce Data Cloud, Apex, LWC (Lightning Web Components), Salesforce Flow
degree in a STEM field
good command of the English language
strong communication and collaboration skills
problem-solving mindset, sense of responsibility, autonomy, and a team-oriented approach

Job Responsibility

Designing, developing, and deploying Agentforce-based solutions
creating agents, flows, topics, and actions
using the Agent Builder to manage and deliver Agentic AI solutions
creating and managing prompts in Prompt Builder aligned with Agentic AI and Einstein Generative AI best practices
leveraging SKU Agentforce for Service to support Customer Care and ticket management
developing and integrating agents into external websites
working with structured and unstructured data in Salesforce Data Cloud
leading the technical aspects of AI projects and mentoring junior team members
collaborating with developers and business analysts to understand AI requirements

What we offer

Opportunity to work in a dynamic environment
work on national and international projects
continuously expand knowledge and develop skills
smart-working agreement according to company policy
availability to travel nationally and internationally required

Fulltime

Senior AI Engineer

Guidepoint is seeking an experienced Senior AI Engineer to join our Toronto-base...

Location

Canada , Toronto

Salary:

Not provided

Modoras Accounting Syd

Expiration Date

Until further notice

Requirements

6+ years of professional experience (or 5+ with a Master’s degree) designing, building, and scaling distributed, production-grade backend systems
2+ years building and operating Generative AI and agentic systems in production
Strong software engineering fundamentals in Python, including building and scaling REST APIs using frameworks such as FastAPI, with experience in asynchronous programming and microservices
Hands-on experience building enterprise AI agents and workflows using LLM platforms such as OpenAI, Anthropic (Claude), or Google Gemini, and frameworks like LangChain or agent SDKs
Experience building and operating within the enterprise AI ecosystem, including custom GPTs or agents, agent builders, connectors/apps, and application or agent SDKs (e.g., OpenAI Apps SDK, ChatKit, or equivalents)
Experience designing and operating agent integration layers (e.g., MCP servers or similar) that connect AI agents to internal APIs, tools, and services, with secure authentication and authorization using enterprise identity platforms such as Okta, Microsoft Entra ID, or OAuth-based systems
Strong understanding of AI governance, compliance, and responsible AI practices, including access control, auditability, data handling, and secure deployment of AI systems in enterprise environments
Direct experience with RAG, vector search using databases such as Elasticsearch, multi-agent AI systems, tool-calling agents, prompt engineering, and agent evaluation in production environments
Cloud-native experience deploying and operating containerized applications on Azure (preferred) or AWS/GCP using Docker and Kubernetes
Proven ability to lead complex technical initiatives, make sound architectural decisions, and mentor engineers building production-ready AI systems

Job Responsibility

Design, build, and operate scalable, low-latency backend services and REST APIs that power Generative AI capabilities, including retrieval-augmented generation (RAG) pipelines, vector search, and enterprise-grade agentic systems
Own the full lifecycle of AI applications and agents, from system architecture and development to CI/CD, deployment, agent evaluation, monitoring, and ongoing optimization in production
Build production-grade research agents and enterprise AI workflows that integrate LLMs with proprietary knowledge, vector databases (e.g., Elasticsearch), internal tools, external APIs, and real-time data
Design and operate multi-agent AI systems, including tool-calling agents and agent orchestration patterns, to support complex research and enterprise workflows
Apply AIOps best practices for building, evaluating, deploying, and operating AI agents with strong observability, reliability, and quality controls
Continuously improve retrieval and generation quality using prompt engineering, retrieval tuning, re-ranking, advanced chunking strategies, and hallucination reduction techniques
Provide technical leadership through design discussions, code reviews, and mentorship, and partner closely with product and business stakeholders to influence the AI roadmap

What we offer

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities through the LinkedIn Learning platform

AI Solutions Engineer

As an AI Solutions Engineer on the team, you’ll have the opportunity to deploy A...

Location

India , Chennai

Salary:

Not provided

Zuora

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, Machine Learning or a related field
Minimum 2 years of experience
Foundational understanding of AI and machine learning concepts – especially familiarity with large language models (LLMs)
Demonstrated interest or experience in working with AI-powered platforms or APIs
Comfortable with light coding/scripting (Python, JavaScript or similar)
Ability to work with APIs and webhooks to integrate systems
Strong analytical and problem-solving skills
Excellent communication skills and a collaborative approach to working with non-technical stakeholders

Job Responsibility

Deploy AI-Powered Tools: Roll out and fine-tune AI solutions that embed intelligence into everyday workflows
Build & Optimize AI Agents: Use agent builder frameworks to create custom AI agents that help various internal teams
Improve Internal Workflows: Collaborate with cross-functional teams to identify high-impact opportunities for AI automation
Integrate Systems & Data: Connect AI platforms with our internal tools and data sources
Enable & Support Users: Serve as an internal champion for these AI tools
Improvement of Current Systems: Gather metrics on the performance and effectiveness of the current product
New Product Feature Development: Proactively identify opportunities to enhance our product offerings with machine learning and AI-driven features
Best Practices and Governance: Establish and document best practices for training, evaluating, and operating machine learning and AI models

What we offer

Competitive compensation, corporate bonus programs, performance rewards, company equity, and retirement programs
Medical insurance
Generous, flexible time off
Paid holidays, “wellness” days, and company-wide end-of-year break
6 months of fully paid parental leave
Learning & Development stipend
Opportunities to volunteer and give back, including charitable donation match
Free resources and support for your mental wellbeing

Fulltime

Assistant AI Solution Architecture Manager, Hyperautomation

This role focuses on executing, architecting, and scaling autonomous, agentic wo...

Location

India , Bangalore

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

Highly technical Google Cloud Gen AI/Hyperautomation expert
Deep technical contribution and strong solution architecture grounding
Proficiency in Google Cloud's Gen AI stack (Vertex AI, Gemini, Agent Builder) within a Hyperautomation context
Experience in architecting and implementing Agentic AI, RAG systems, and multi-agent orchestration on GCP
Experience implementing LLMOps pipelines using Vertex AI for automated testing, monitoring, and versioning of models and prompts
Experience ensuring high code quality, conducting rigorous reviews, and executing system integration with enterprise systems using modern APIs and event-driven architectures (Pub/Sub)
Experience with cost optimization of AI and Generative AI solutions for scale
Ability to provide technical mentorship, support roadmap execution, and translate complex business requirements into technical tasks

Job Responsibility

Technical Execution & Solution Architecture: Contribute to the technical design and support the architecture of hyperautomation solutions, focusing on the build and scaling of Agentic AI workflows, RAG systems, and multi-agent orchestration on GCP
Champion the adoption of technical standards, design patterns, and engineering best practices
Execute and document the technical integration of Gen AI solutions with core enterprise systems using modern API, event-driven, and microservices architectures
Conduct rigorous code reviews, debugging complex issues, and ensuring adherence to high-quality code standards
Team & Project Coordination: Provide guidance, technical support, and mentorship to Software Engineers and Automation Developers
Support in managing the execution of the HAP team's roadmap, tracking progress against milestones
Contribute to the continuous improvement of the team's software development lifecycle (SDLC)
Generative AI & Google Cloud Focus: Assist in the implementation and operation of GenAIOps pipelines using Vertex AI Pipelines
Conduct detailed analysis of cloud resource usage for AI workloads on GCP
Implement and run model evaluation (EVAL) frameworks to validate agent performance

Fulltime

New

Cloud Solution Architect - AI Workforce

The AI Workforce team is a global group of technical architects and strategists ...

Location

United States , Multiple Locations

Salary:

85100.00 - 169800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
OR equivalent experience
Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties
2+ years experience working in a customer-facing role (e.g., internal and/or external)
2+ years experience working on technical projects
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Advanced experience in Azure/M365 administration, development, and DevOps processes
Proven expertise in Azure AI workloads, Copilot extensibility, and agentic frameworks
Strong understanding of evaluation methodologies for AI systems (offline and real-time)
Proficiency in TypeSpec, Microsoft 365 Agents Toolkit, and orchestration patterns

Job Responsibility

Architect and deploy AI agent solutions leveraging Microsoft Copilot Studio, Agent Builder, and declarative frameworks
Define evaluation strategies for agent performance, safety, and compliance using metrics such as task success rate, latency, and failure rate
Mentor peers and guide readiness efforts aligned to corporate priorities like security, resilience, and AI innovation
Generate and evolve IP for emerging AI scenarios and represent Microsoft in technical communities through events, presentations, and content creation
Act as the voice of the customer, synthesizing insights to influence product roadmaps and program improvements
Translate customer challenges into solutions aligned with Microsoft’s platform strategy, ensuring clear articulation of ROI and business outcomes
Anticipate dissatisfaction, define conditions of success, and ensure a seamless, connected customer experience that accelerates adoption and transformation
Deliver operational excellence across engagements by applying governance principles and managing risk proactively
Execute value-based deliverables and prepare customers for operational readiness, long-term adoption, and well-architected, AI-enabled solutions
Identify and capture new opportunities for consumption and usage, collaborating across teams to accelerate deployment and ensure measurable customer impact

Fulltime

Outcome Engineer

Outcome Engineer role at Onebrief, an AI-powered workflow software company for m...

Location

United States

Salary:

120000.00 - 200000.00 USD / Year

Onebrief

Expiration Date

Until further notice

Requirements

AI-native engineer
Strong software engineering skills
Experience building with agents
History of shipping products
Experience with agentic frameworks (e.g., LangChain, AutoGen)
Experience with Node.js, TypeScript, PostgreSQL, Redis, Kubernetes, AWS
Experience with Large Language Models, Vector Databases
Ability to work in intense collaboration
Ability to write clearly for documentation and communication
Respect for expertise without gatekeeping

Job Responsibility

Architect multi-agent systems
Implement automated governance
Engineer context and memory
Build rigorous evaluation frameworks
Design self-healing loops
Prototype and deploy new agentic tools
Experiment with new models, orchestration techniques, and validation methods

What we offer

Equity
Flexible work environment with remote-first organization and flexible work hours
Unlimited PTO
Comprehensive health coverage (health, dental, vision, life insurance)
Retirement plan (401(k) with company match)
Parental leave (8 weeks at 100%)
Annual company summit trips
Home office budget ($1,000 per year)

Fulltime

Principal Architect – GenAI & Enterprise Automation

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Typically 10+ years' experience
Experience designing and developing software systems design tools and languages
Experience in overall architecture of software systems for products and solutions
Designing and integrating software systems running on multiple platform types into overall architecture
Evaluating and selecting forms and processes for software systems testing and methodology
History of innovation with multiple patents or deployed solutions in the field of software design
Excellent written and verbal communication skills
mastery in English and local language
Deep expertise in Copilot, Azure OpenAI, Power Platform, and LLMs

Job Responsibility

Develops organization-wide architectures and methodologies for software systems design and development
Identifies and evaluates new technologies, innovations, and outsourced development partner relationships
Reviews and evaluates designs and project activities for compliance with development guidelines and standards
Provides guidance and mentoring to less-experienced staff members
Integrate with organizational data and workflows for Copilot
Establish Prompt Engineering Frameworks with Copilot
Enable custom Copilots with internal knowledge, fine-tuned LLMs, and responsible usage practices
Enable Agentic Automation with Federated Governance model
Lead scalable automation through reusable components, design principles, and CoE enablement
Create accelerators, secure connectors, and templates to maximize reuse

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Agent Builder

Mirakl

Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 24, 2026

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Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:April 24, 2026

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