Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

Coverflex Work changed. Pay didn’t. Coverflex exists to make compensation work for everyone. Pay is still rigid, frag...

Remote Ai Ai Engineer Generative Ai

Fully remote

We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every ...

Data Science Ai

$20k* · Senior Fully remote

Do you want to build impactful, scalable AI and automation solutions for the world’s leading jewellery brand? If yes,...

Fulltime Ai Data Science

Fully remote

The Opportunity Adobe is looking for a Senior ML Engineer to join our dynamic Multimodal Data Research team in Romani...

Fulltime Ai Machine Learning

$30k* · Senior Fully remote

Senior GenAI Engineer (all genders) Advantages About AXA Our distinctions Contact Come to AXA, Switzerland's leading ...

Fulltime Remote Ai Ai Engineer

Fully remote

About Longtail Technologies Longtail is building an intelligent decision-streaming platform that helps airlines make ...

Fulltime Data Science Ai

Fully remote

About the team: Within Global Operations, our mission is to deliver the best customer experience in the fintech indus...

Ai Machine Learning Data Science

Fully remote

Rejoindre l’aventure Verisure, c’est choisir un métier avec une mission collective, celle de protéger. C’est d’ailleu...

Fulltime Ai Engineer Machine Learning Deep Learning

Fully remote

Great ideas come from different minds. That’s why we bring together engineers, scientists, analysts, and creatives fr...

Fulltime Remote Ai Machine Learning

Fully remote

Develop advanced analytics / data science solutions to solve problems focused on forecasting, new site selection, ord...

Fulltime Ai Machine Learning Data Science

Fully remote

. Are you driven by data and eager to discover how AI and data science can truly make an impact in practice? At Alber...

Internship Ai Data Science

$125k* · Senior Fully remote

Notre client développe une plateforme d?IA générative et agentique destinée à des environnements B2B exigeants (sécur...

Ai Engineer Ai

Fully remote

About Atos Group Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue ...

Data Science Ai

$67k* · Senior Fully remote

Lead AI Engineer (Senior/Principal Consultant) Location: Glasgow (Hybrid) | Practice Area: Technology & Engineering |...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

️ Fluency in English is required. As a AI Engineer, you will design, prototype, and deploy advanced AI systems using ...

Remote Ai Ai Engineer Nlp

Fully remote

End Date Thursday 26 March 2026 Salary Range £48,987 - £54,430 We support flexible working – click here for more info...

Fulltime Machine Learning Ai

$62k - $69k* · Senior Fully remote

Location: Brussels -50% on-site, 50% remote Freelance Start Date: 23/03/2026 | End Date: 23/03/2027 We are looking fo...

Remote Ai Machine Learning Data Science

Fully remote

Element Logic is building a new software suite from the ground up, with AI and optimization at its core to enable int...

Ai Machine Learning Data Science Data Engineer

Fully remote

COLUMBUS NORWAY AS Frist Snarest Ansettelsesform Fast AI. Data. Automatisering. Vil du bygge dataplattformer og AI-lø...

Ai Ai Engineer Data Engineer

$612k* · Senior Fully remote

Utrecht Machine Learning Engineer Intro Uren: 32-40 Werkplek: Utrecht / vanuit huis / locatie opdrachtgever Ervaring:...

Parttime Machine Learning Generative Ai Ai

$207k* · Senior Fully remote

Selected role

Ai Engineer - Performance Team

coverflex Braga, P03, PT

Senior Full-time

Coverflex

Work changed. Pay didn’t.

Coverflex exists to make compensation work for everyone.

Pay is still rigid, fragmented, and hard to feel.

We turn compensation into choice - one platform, one card, one app - for benefits, meal allowance, insurance and more.

Our platform is simple for HR and meaningful for employees.

We provide choice, smarter compensation tools and empowerment.

️ TL;DR (The Essentials)

Role: AI Engineer

Seniority Level: Mid

Type: Individual Contributor

Languages: English (main) / Portuguese, Spanish or Italian a plus

Main Tools:

OpenAI API
Vercel SDK or similar
Langsmith / Braintrust / Langfuse or similar
Cursor / Codex / Claude Code

Location: Remote (Europe only)

Compensation:

Base Salary: 50K to 60K gross annually
Equity: Yes – VSOPs
Benefits: See below
Contract Type: Permanent

Your Impact

Your role will play a major role in our success because…

With our goals to scale AI, specially for expansion post-series B, we need AI that has some minimum threshold of reliability. Our AI already handles thousands of conversations per week and we expect that to increase significantly. We need dedicated effort in making sure that our AI is accurate, helpful and reliable.

You’ll know you’re successful when, after 90 days, you’ve…

Maintain evals to keep close to 100% accuracy and update them as we get new feedback
Monitor user feedback to ensure our agents have a high level of accuracy
Run new experiments to proactively increase the performance of current agents (test new prompts, models, agent architectures)
Keep up to date with AI developments
Design new agents
Maintain Evals infrastructure to run reliably and at reasonable time and cost in our CI/CD pipeline

How we’ll measure success:

Eval coverage exists for all production agents. Evals are updated shortly after new feedback. Accuracy stays above agreed threshold and matches real-world performance.
Feedback loop is active - issues are caught and logged. Time to detect accuracy problems decreases. Recurring issues are identified and addressed.
Number of experiments ran and documented per month, resulting in improvements shipped to production.
New agents go from concept to production. Agents meet quality bar on first iterations (fewer back-and-forth cycles).

Reality Check - What Makes This Role Hard

Let's be real - here's what makes this role challenging:

Biggest hurdle is the fact that this is a new field. Processes are being created and it requires faster adaptation to new developments in the industry. Also relevant is that we LLMs are inherently non-deterministic which can make the work more complex than with software.

You

Must-haves (evidence, not years)

Functional coding in TypeScript or Python
Demonstrated experience with LLMs (personal project or professional)
Experience with creating AI agents
Familiarity with LLM providers and model trade-offs

Nice-to-have

Exposure to LLM observability tools
Experience with OSS models
Background in SW, product, QA, or data

Your DNA

Genuinely curious about AI — explores new models and tools for fun, not just work. More excited about making the model perform well than writing elegant code. Comfortable with ambiguity and iteration. Testing mindset: likes to measure, compare, and improve. Proactive in sharing findings and documenting learnings.

Who will probably find this frustrating…

Someone who sees this as a stepping stone to "real" ML/infra engineering. Pure coders who want to build systems but have no patience for prompt iteration. People who need clear specs to start working — this role requires experimentation. Anyone who thinks prompt engineering is "not real work".

Manager & Team

**Meet Your Manager

Hiring Manager:** Fábio Domingues, Senior AI Engineer

Location: Portugal

LinkedIn Profile: https://www.linkedin.com/in/fjrdomingues/

Profile Snapshot:

Energy: Calm and steady. I genuinely enjoy the work — solving problems, making progress, seeing things improve. No artificial urgency or drama. I like to keep things relaxed while still moving forward.
Communication: Straightforward and low-ceremony. I value clarity over polish. I might skip the small talk and get straight to the point — not because I don't care, just because that's how I'm wired. I'm always open to questions and back-and-forth.
Feedback Style: Honest and collaborative. If something isn't working, I'll say it — but constructively, and I'll help fix it. I appreciate direct feedback in return. No egos, no politics

How to work with me - in the Manager's own words:

Relaxed but engaged. We'll share the workload, think through problems together, and iterate quickly. I don't have rigid processes — you'll have room to shape how we work. If you like autonomy, ownership, and a calm environment where the focus is on doing good work, we'll get along well.

**Your Team

You’ll work day-to-day with:**

Engineers, Product Manager, Product Designer, Engineering Manager

Key Stakeholders:

Bruno Oliveira, VP Engineering
João Caxaria, Head of AI
Vitor Pires, AI Engineer
Jorge Mestre, AI Engineer

Access & Belonging (Equal Opportunity)

We hire for impact and potential, not pedigree.

We welcome applications from people with non-linear careers, career breaks, caregiving gaps, and those changing fields.

No discrimination on the basis of age, disability, gender identity/expression, marital or family status, pregnancy, neurodivergence, race/ethnicity, religion/belief, gender, sexual orientation, or any other protected ground.

Assessment fairness:

We anchor on evidence of outcomes (what you shipped, moved, or influenced).

We actively de-bias by using structured rubrics, multiple assessors, and blind screening most of the time (we won’t know your name, gender, or personal info until the interview stage).

Application Clarity

No cover letter required.

Apply with your LinkedIn or upload your CV.

You may be asked a few short, relevant questions.

Total candidate time investment: ~3–5 hours end-to-end.

Hiring Stages (What to Expect, Why & How Long)

1. CV / LinkedIn Screen — Signal check vs must-haves

You’ll hear from us within **7 business days.

Role-Fit Questionnaire (async)**
Purpose: capture signals your CV can’t (languages, tools, scenario judgement) and calibrate seniority.
Format: multiple choice + short answers.
Accessibility: prefer a call? Tell us - we’ll swap for a short chat.

3. Hiring Manager Interview - Engineering Mindset deep-dive • 45–60 min

4. Case / Work Sample - Walkthrough + Q&A • 20–30 min

You’ll get actionable feedback either way.

5. Cultural Interview - With People • 30 to 45min

6. Final Conversation (CEO / C-Level) — Values, strategy, and your growth • 30–45 min

Optional: References (2–3 people who’ve seen your recent work) - async.

️ Speed & Communication

Decision: within 4 weeks of your application.
Updates: weekly if the process runs longer.
Scheduling: interviews between 10:00–16:00 CET (flexible across Europe).
Feedback: from the Case stage onwards, you’ll always receive written or verbal feedback - what went well, and what to strengthen next time.

Showing 1221–1240 of 3,251 AI roles

1 … 60 61 63 64 163

Find your next AI role

Ai Engineer - Performance Team

Data Scientist (12-month)

Senior Specialist, AI Data Scientist

Senior ML Engineer

Senior GenAI Engineer (all genders) 80-100%

Senior Data Scientist

Data Scientist

AI Engineer (F/H/X)

Machine Learning Engineer

Data Scientist Engineer

Afstudeerstage Data Scientist - Digital

AI Engineer (Bordeaux) H/F (IT) / Freelance

Data Scientist Consultant

Lead AI Engineer

AI Engineer - NLP Agentic AI (LLMs)

Machine Learning Engineer

Machine Learning Engineer

Senior ML Engineer

Data Engineer og AI Engineer

Machine Learning Engineer