AI Engineering Manager - Internal AI Agent Jobs

New

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...

Location

France , Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML or software engineering
Proven track record building AI agents using LLMs, RAG, MCP and related technologies
Strong technical proficiency in Python and multiple programming languages, with architectural design experience
Production deployment expertise - you've shipped AI solutions to real users
Technical pragmatism - ability to match the right technology to the use case
Curiosity and continuous learning
1+ years experience as a Lead or management roles (team management or technical leadership)
Strong leadership skills
Cross-functional stakeholder management
Strong communication & presentation skills - in both English and French

Job Responsibility

Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

New

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...

Location

France

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML or software engineering
Proven track record building AI agents using LLMs, RAG, MCP and related technologies
Strong technical proficiency in Python and multiple programming languages, with architectural design experience
Production deployment expertise - you've shipped AI solutions to real users
Technical pragmatism - ability to match the right technology to the use case
Curiosity and continuous learning
1+ years experience as a Lead or management roles (team management or technical leadership)
Strong leadership skills
Cross-functional stakeholder management
Strong communication & presentation skills - in both English and French

Job Responsibility

Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

New

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

Canada

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in software development, AI/ML engineering, or system integration
Proficiency in Python and Golang, with the ability to write clean, efficient code
Familiarity with AI/ML concepts
Hands-on experience with large language models (LLMs), and prompt engineering techniques are strongly preferred
Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
Hands-on experience of building such a system is strongly preferred
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
Excellent communication and project management skills

Job Responsibility

Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning

What we offer

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
Paid parental leave to support you and your family
Monthly Health & Wellness allowance
Work from home office stipend to help you succeed in a remote environment
Lunch reimbursement for in-office employees
PTO: 3 weeks in Canada

Fulltime

New

Forward Deployed Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...

Location

United States

Salary:

150000.00 - 250000.00 USD / Year

Cresta

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in software development, AI/ML engineering, or system integration
Proficiency in Python and Golang
Familiarity with AI/ML concepts
Hands-on experience with large language models (LLMs) and prompt engineering techniques are strongly preferred
Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG)
Hands-on experience of building such a system is strongly preferred
Experience with cloud platforms (AWS, GCP, or Azure) and DevOps practices (CI/CD, containerization, monitoring)
Hands-on experience with integrating systems via APIs, webhooks, and data pipelines
Excellent communication and project management skills

Job Responsibility

Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools
Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration
Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions
Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives
Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery
Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings
Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI
Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage
Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO
Paid parental leave for all new parents welcoming a new child
Retirement savings plan
Remote work setup budget
Monthly wellness and communication stipend
In-office meal program and commuter benefits provided for onsite employees
Equity

Fulltime

Senior Integrations Engineer, Enterprise Integrations & Agentic AI

We are seeking a Senior Engineer, Enterprise Integrations & Agentic AI to design...

Location

United States , San Francisco; New York City; Austin

Salary:

227000.00 - 294600.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

10+ years of experience in integrations, software development, or systems engineering
Strong experience with integration/iPaaS platforms such as Workato, Zapier, Mulesoft, Hightouch, AWS, etc
Proficient in Python, cloud development (AWS or GCP), and handling large-scale data processing workloads
Deep hands-on expertise in integration architecture, API management, and data synchronization patterns (event-based, webhook, polling, etc.)
Experience with AI agent development, prompt engineering, and integration of LLMs into workflows
Experience with vibe coding—leveraging AI tools (e.g., Cursor, Bolt, Claude Code) to accelerate development velocity
Proficiency in working with Salesforce and Workday, including custom reports, calculated fields, and Workday Studio integrations
Solid understanding of integration security, data governance, and compliance practices
Strong understanding of authentication/authorization standards like OAuth 2.0 and SAML
Experience with data formats like JSON and XML and data transformation techniques

Job Responsibility

Design, build, and optimize scalable enterprise workflows using Workato, Hightouch and Workday Studio
Expand our integration stack by building hybrid solutions using Workato for workflow orchestration, and cloud-native services built using Python to handle complex logic and high-volume data processing
Own and evolve integration architecture that supports event-driven workflows, data syncs, and process orchestration across internal tools
Partner with Data and Infrastructure teams to manage real-time and batch data flows between systems, ensuring accuracy, resilience, and auditability
Apply agentic platforms (e.g. AgentForce, Workato Genie) to orchestrate multi-step automations using LLMs and other intelligent agents
Champion Airtable AI internally by building production-ready AI automations
Partner with business units, subject matter experts, and engineering teams to understand integration requirements, define architecture, and deliver resilient workflows
Document technical designs, maintain reusable components, and share best practices for future expansion
Bring strong technical judgment in selecting the right tools and patterns, ensure observability and monitoring are in place for integration health
Champion best practices that keep our integration layer reliable, maintainable, and future-ready

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior AI Engineer

As a Senior AI Engineer on our AI Engineering team, you will be responsible for ...

Location

Canada; United States

Salary:

160000.00 - 260000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with a focus on production systems
1.5+ years of hands-on LLM experience (2023-present) building real applications with GPT, Claude, Llama, or other modern LLMs
Production LLM Applications: Demonstrated experience building customer-facing, scalable LLM-powered products with real user usage (not just POCs or internal tools)
Agent Development: Experience building multi-step AI agents, LLM chaining, and complex workflow automation
Prompt Engineering Expertise: Deep understanding of prompting strategies, few-shot learning, chain-of-thought reasoning, and prompt optimization techniques
Python Proficiency: Expert-level Python skills for production AI systems
Backend Engineering: Strong experience building scalable backend systems, APIs, and distributed architectures
LangChain or Similar Frameworks: Experience with LangChain, LlamaIndex, or other LLM application frameworks
API Integration: Proven ability to integrate multiple APIs and services to create advanced AI capabilities
Production Deployment: Experience deploying and managing AI models in cloud environments (AWS, GCP, Azure)

Job Responsibility

Design and Deploy Production LLM Systems: Build scalable, reliable AI systems that serve millions of users with high availability and performance requirements
Agent Development: Create sophisticated AI agents that can chain multiple LLM calls, integrate with external APIs, and maintain state across complex workflows
Prompt Engineering Excellence: Develop and optimize prompting strategies, understand trade-offs between prompt engineering vs fine-tuning, and implement advanced prompting techniques
System Integration: Build robust APIs and integrate AI capabilities with existing Apollo infrastructure and external services
Evaluation & Quality Assurance: Implement comprehensive evaluation frameworks, A/B testing, and monitoring systems to ensure AI systems meet accuracy, safety, and reliability standards
Performance Optimization: Optimize for cost, latency, and scalability across different LLM providers and deployment scenarios
Cross-functional Collaboration: Work closely with product teams, backend engineers, and stakeholders to translate business requirements into technical AI solutions

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
Familiarity with model architecture, tokenization, context windows, and prompt formatting
Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
Knowledge of prompt templates, system instructions, and role-based prompting
Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
Knowledge of agent communication, delegation, and task decomposition

Job Responsibility

Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
Upgrade existing prompts while releases and solutions set evolve
Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical Insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

AI Engineer

AI Engineer position at Inetum, a European leader in digital services, focusing ...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum 3 to 5 years of experience in AI solutions deployment in enterprise environments
Understanding of how LLMs (GPT-4, Gemini, Claude, Llama, Mistral AI) work, their capabilities, and limitations
Familiarity with model architecture, tokenization, context windows, and prompt formatting
Crafting effective prompts for various tasks (text generation, summarization, Q&A, code generation, images and sound manipulations)
Techniques for prompt chaining, few-shot and zero-shot learning, and multi-turn conversations
Knowledge of prompt templates, system instructions, and role-based prompting
Understanding the concept of AI agents: autonomous entities that perceive, reason, and act to achieve goals
Familiarity with multi-agent systems, agent orchestration, and agentic workflows (e.g., using frameworks like Lang Chain, Crew AI, Auto Gen)
Ability to design, prompt, and coordinate groups of AI agents for collaborative or competitive tasks
Knowledge of agent communication, delegation, and task decomposition

Job Responsibility

Develop, refine, and optimize prompts for LLMs (GPT-4, Gemini, Claude, Llama, Mistral) to support a variety of tasks such as text generation, summarization, Q&A, and code generation
Design and implement prompt strategies for multi-turn conversations, prompt chaining, and role-based instructions
Build and coordinate groups of AI agents (multi-agent systems) for collaborative or competitive tasks using frameworks such as Lang Chain, Crew AI, or Auto Gen
Upgrade existing prompts while releases and solutions set evolve
Evaluate and improve the effectiveness of prompts and agent workflows through iterative testing, A/B experimentation, and performance analysis
Collaborate with cross-functional teams (developers, data scientists, product managers) to integrate prompt engineering and agentic workflows into enterprise solutions
Ensure compliance with data privacy, security, and regulatory standards (GDPR, NIS2) in all prompt and agent designs
Document prompt strategies, agent architectures, and best practices for internal knowledge sharing and training
Ensure provided solutions are ready for production, documented and monitored ensuring consistent delivery and quality

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical Insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

AI Engineering Manager - Internal AI Agent

Mirakl

Location:
France, Paris

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 10, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for AI Engineering Manager - Internal AI Agent

AI Engineering Manager - Internal AI Agent

AI Engineering Manager - Internal AI Agent

Forward Deployed Engineer (AI Agent)

Forward Deployed Engineer (AI Agent)

Senior Integrations Engineer, Enterprise Integrations & Agentic AI

Senior AI Engineer

AI Engineer

AI Engineer

AI Engineering Manager - Internal AI Agent

Mirakl

Location:France, Paris

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 10, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for AI Engineering Manager - Internal AI Agent

AI Engineering Manager - Internal AI Agent

AI Engineering Manager - Internal AI Agent

Forward Deployed Engineer (AI Agent)

Forward Deployed Engineer (AI Agent)

Senior Integrations Engineer, Enterprise Integrations & Agentic AI

Senior AI Engineer

AI Engineer

AI Engineer

Location:
France, Paris

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 10, 2025