Senior AI Engineer (AI Enablement)

Kpler; Paris; On-site; EUR 110,000 - 150,000; Full time

Job summary

Kpler is seeking a Senior AI Engineer in Paris to join the AI Enablement crew. You will design, build, and operate production-grade AI systems—agents, assistants, and pipelines—to scale AI across the company with strong security and governance.

You will craft shared foundations, integrate with internal and external SaaS APIs, and mentor peers while delivering measurable efficiency and cost savings. The role emphasizes end-to-end ownership, reliability, and collaboration with non-technical

Qualifications

• 5+ years of software engineering experience building and operating production systems end-to-end.
• Hands-on experience shipping LLM-powered features, agents, or AI tooling to production (not just prototypes).
• Strong integration experience: third-party SaaS APIs, internal services, data pipelines.
• Solid grounding in system design, APIs, databases, and application architecture.
• Experience working directly with non-technical stakeholders to shape and deliver solutions.
• Practical understanding of security and data-privacy constraints around AI systems.
• Strong programming in Python and/or TypeScript.
• LLM application engineering: model APIs, agent frameworks, prompt/context engineering, RAG and knowledge bases.
• API design and systems integration across multiple SaaS platforms and internal systems.
• Cloud environments (AWS preferred), CI/CD, containerisation.

Responsibilities

• Design, build, and operate AI systems for internal functions — agents, assistants, and automations — owning them end-to-end from design through production operation.
• Build the shared foundations of the crew’s platform: frameworks, knowledge-base pipelines, evaluation tooling, and reusable integrations with company systems.
• Work directly with functional champions to understand their workflows, identify high-leverage automation opportunities, and turn them into deployed solutions.
• Implement security guardrails and responsible-AI practices in everything shipped: access control, data privacy, auditability, and human-in-the-loop where it matters.
• Make systems measurable: instrument adoption, quality, cost, and time savings, and use the data to iterate.
• Keep owned systems reliable, observable, and maintainable - including production incident response and RCA.
• Contribute to the AI software factory for engineering: rules, skills, and agents that codify Kpler’s engineering standards, and AI-assisted development practices across crews.
• Provide clarity through documentation, proposals, and runbooks; share knowledge across the crew and company.
• Mentor other engineers in the crew and contribute to hiring and onboarding.

Skills

Python

TypeScript

LLM tooling

API design

Cloud AWS

CI/CD

Data pipelines

Knowledge bases

Security & privacy

Tools

SaaS APIs

LLM frameworks

Job description

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

The Senior AI Engineer will join Kpler’s new AI Enablement crew, whose mission is to give every function in the company the tools, frameworks, and AI agents to work with AI at scale.

A senior individual contributor role: you design, build, and operate production-grade AI systems - agents and assistants, shared frameworks, knowledge bases, and the integrations that connect them to company systems - and own solutions end-to-end, from understanding a function’s workflow with its champions through deployment, measurement, and iteration.

You bring engineering rigour to a fast-moving space: the systems you ship must be reliable, observable, safe, and worth their cost.

You will also help raise the bar for AI-assisted engineering across Kpler and mentor less experienced engineers in the crew. To begin with, the emphasis will be on delivering Kpler’s company-wide AI adoption plan; the scope is expected to broaden as internal AI usage matures.

Key Responsibilities

• Design, build, and operate AI systems for internal functions — agents, assistants, and automations — owning them end-to-end from design through production operation.

• Build the shared foundations of the crew’s platform: frameworks, knowledge-base pipelines, evaluation tooling, and reusable integrations with company systems.

• Work directly with functional champions to understand their workflows, identify high-leverage automation opportunities, and turn them into deployed solutions.

• Implement security guardrails and responsible-AI practices in everything shipped: access control, data privacy, auditability, and human-in-the-loop where it matters.

• Make systems measurable: instrument adoption, quality, cost, and time savings, and use the data to iterate.

• Keep owned systems reliable, observable, and maintainable - including production incident response and RCA.

• Contribute to the AI software factory for engineering: rules, skills, and agents that codify Kpler’s engineering standards, and AI-assisted development practices across crews.

• Provide clarity through documentation, proposals, and runbooks; share knowledge across the crew and company.

• Mentor other engineers in the crew and contribute to hiring and onboarding.

Experience & Background

Essential:

• 5+ years of software engineering experience building and operating production systems end-to-end.

• Hands-on experience shipping LLM-powered features, agents, or AI tooling to production (not just prototypes).

• Strong integration experience: third-party SaaS APIs, internal services, data pipelines.

• Solid grounding in system design, APIs, databases, and application architecture.

• Experience working directly with non-technical stakeholders to shape and deliver solutions.

• Practical understanding of security and data-privacy constraints around AI systems.

• Strong programming in Python and/or TypeScript.

• LLM application engineering: model APIs, agent frameworks, prompt/context engineering, RAG and knowledge bases.

• API design and systems integration across multiple SaaS platforms and internal systems.

• Cloud environments (AWS preferred), CI/CD, containerisation.

Desirable:

• Experience with agent frameworks, MCP-style tool interfaces, or multi-agent systems.

• Experience with RAG/knowledge-base systems and LLM evaluation/observability tooling.

• Experience building internal tools, platform tooling, or developer-experience products.

• Cost optimization of LLM workloads.

• Full-stack experience for user-facing internal tooling.

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head‑on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen

We act decisively and with purpose, going the extra mile.

We buildtogether

We foster relationships and develop creative solutions to address market challenges.

We are here to help

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge

Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work‑environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

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