Explore AI roles · Updated daily

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

Keyboard friendly Save and share roles

100% remote | Global team | Full-time NineTwoThree AI Studio is a premier product design, engineering, and marketing ...

Fulltime Remote Ai Machine Learning

Fully remote

View details

idealo’s AI Booster Team accelerates the company’s adoption of generative AI technology by partnering with product te...

Fulltime Ai Ai Engineer Generative Ai

Fully remote

View details

Nous sommes fiers d’annoncer que nous avons reçu la certification GREAT PLACE TO WORK® ! Connexion, performance, effi...

Internship Ai Ai Engineer

Fully remote

View details

Pourquoi rejoindre Keyrus aujourd’hui ? Keyrus est un groupe international de 2 800 consultants et experts présents d...

Ai Engineer Ai

Fully remote

View details

About Allica Bank Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech)...

Fulltime Ai Ai Engineer

Fully remote

View details

Must Have Technical/Functional Skills Generative AI Engineer , Copilot Studio, Agile concepts, CI/CD 10+ years’ exper...

Ai Ai Engineer Generative Ai

$110k - $125k · Senior Fully remote

View details

Staff Machine Learning Engineer, CustomerLake (ML/LLM) RDQ427R109   At Databricks, we are passionate about enabl...

Machine Learning Generative Ai Ai

$192k* · Senior Fully remote

View details

Custom Software Engineering Senior Analyst | Mid-Level | Full time Job No. 14476576 | Irving, TX Accenture Flex offer...

Fulltime Machine Learning Ai

$91k - $112k · Senior Fully remote

View details

Custom Software Engineering Senior Analyst | Mid-Level | Full time Job No. 14476578 | Irving, TX Accenture Flex offer...

Fulltime Machine Learning Ai

$91k - $112k · Senior Fully remote

View details

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading ...

Fulltime Machine Learning Ai

$91k - $112k · Senior Fully remote

View details

Location and Travel Details: Remote Join our Data Science Team! Our collaborative and diverse data science team is fo...

Remote Ai Ai Engineer Machine Learning

$401k* · Senior Fully remote

View details

Company: Akoncagua.AI Location: Lakeland, Florida (Onsite) Employment Type: Internship We are seeking a passionate an...

Fulltime Internship Ai Ai Engineer

$41k - $52k · Senior Fully remote

View details

As a Senior AI Engineer – Large Language Models & Agentic Systems , you will make an impact by designing and deliveri...

Fulltime Remote Ai Ai Engineer

$115k - $130k · Senior Fully remote

View details

איזור: גוש דן תיאור התפקיד: האם את/ה נלהב/ת מעולם הבינה המלאכותית היוצרת (Generative AI) ומחפש/ת הזדמנות ייחודית להשפ...

Ai Ai Engineer Generative Ai

Fully remote

View details

Senior AI Engineer (Arabic Speaker) Location: Riyadh, Saudi Arabia Experience: 6–8 Years Employment Type: Full-Time /...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

View details

Job Purpose dnata is more than a global air and travel services provider. We connect people with possibilities and op...

Ai Ai Engineer Data Science Generative Ai

Fully remote

View details

Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your...

Fulltime Ai Engineer Ai

$50k* · Senior Fully remote

View details

Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to del...

Fulltime Remote Ai Engineer Ai

Fully remote

View details

About the Team Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront...

Remote Ai Ai Engineer Generative Ai

$250k* · Senior Fully remote

View details

Join Clario, part of Thermo Fischer Scientific, as an AI Engineer, where your expertise in machine learning, generati...

Fulltime Remote Ai Ai Engineer

Fully remote

View details

Selected role

ML Engineer (Applied AI)

NineTwoThree AI Studio ES

Senior Full-time

100% remote | Global team | Full-time

NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture.

We’re a team that loves doing good work with great people. Our relatively small size keeps us fast and nimble. The wealth of knowledge, experience and talent paired with proven recipes and best practices allows us to find opportunities to help new products succeed.

With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more.

Role Overview

As an ML Engineer at NineTwoThree AI Studio, you will sit at the intersection of production-grade software engineering, advanced natural language processing, and client delivery. We build custom, high-impact AI systems for brands and startups across diverse industries (such as healthcare, logistics, and fintech).

Instead of siloed academic research, this role demands a product-minded builder. You will design, optimize, and deploy robust LLM applications, custom predictive analytics, and agentic workflows directly into our clients' software ecosystems, taking absolute ownership of features from prototype to production.

Technology Stack

Core Frameworks & Arch: Transformer models, modern LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.), Open-Source LLMs.
Orchestration & Agentic Design: Experience designing LLM workflows, agentic systems, or retrieval pipelines using frameworks such as Langchain, LangGraph, LlamaIndex, or equivalent approaches.
Data & Search: Vector databases (Pinecone, pgvector, Milvus, Qdrant, etc.), SQL, and data engineering pipelines.
Traditional ML: Supervised and Unsupervised learning (Classification, Regression, Anomaly Detection).
Cloud & Infrastructure: AWS (Lambda, SageMaker, Bedrock, EC2) and modern DevOps/retraining pipelines.
Languages: Production-grade Python.

Responsibilities

Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines.
Evaluate: Design and maintain evaluation frameworks to measure AI quality, reliability, safety, and business impact before and after deployment.
Integrate & Deploy: Partner closely with full-stack developers and DevOps to seamlessly integrate AI capabilities into client web and mobile applications using serverless architecture (e.g., AWS Lambda) or API endpoints.
Optimize for Production: Refine prompts, system instructions, and chunking strategies to balance accuracy, latency, token consumption, and data privacy.
Traditional Predictive Analytics: Clean and process unstructured or historical client data to train/fine-tune custom algorithms for specific business problems (such as forecasting, classification, or anomaly detection).
Collaborate & Communicate: Actively participate in client discovery sessions, translate ambiguous business requirements into viable technical scopes, and demo prototypes directly to stakeholder teams.
Maintain Engineering Excellence: Engage in constructive code reviews, implement rigorous validation patterns to test AI outputs, and contribute templates or runbooks to our internal AI knowledge base.

Requirements

RequirementsTechnical Experience

Proven Track Record: 3+ years of experience engineering software with a strong focus on machine learning and natural language processing.
LLM & Generative AI Mastery: In-depth understanding of modern LLM architectures, context window mechanics, semantic search techniques, and the limitations of generative systems. Ability to identify when a deterministic solution is preferable to an LLM or agent-based solution.
Production experience: Experience building and operating production AI systems, including monitoring, evaluation, debugging, and iterative improvement.
Evaluation experience: Understanding of evaluation methodologies for LLM-based systems, including retrieval quality, hallucination detection, and task-specific performance measurement. Ability to reason about tradeoffs between quality, latency, cost, reliability, and engineering complexity.
Python & SQL Proficiency: Exceptional Python coding skills and the ability to query, clean, and structure data efficiently.
Cloud Infrastructure: Hands-on experience deploying ML or API services within cloud ecosystems, preferably AWS.
Ownership: Comfortable taking ownership of ambiguous problems from initial discovery through production deployment and ongoing support.

Product & Team Capabilities

Ambiguity to Execution: Ability to drop into a completely new industry vertical, understand its data constraints, and spin up a working proof-of-concept within a few weeks.
The "Product Engineer" Mindset: Passion for seeing things ship and understanding why something is being built from a business value standpoint, not just what is being built.
Communication: Fluent written and spoken English. Comfortable interacting with client stakeholders and breaking down technical workflows into clear concepts.
Adaptability: Eagerness to experiment with and evaluate fast-emerging AI development tools, models, and frameworks.
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).

*Benefits

What We Offer**

Annual paid vacation: 20 days off per year during the first 3 years, increasing to 25 days in later years
Paid sick leave, 10 national holidays, and 2 company days off
Well-being budget
Maternity/paternity leave
Reimbursement of expenses for professional development courses and certifications (up to 100% in agreement with Manager)
Hardware upon business needs
Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor

What's The Process

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd live-coding interview, Offer.

Showing 521–540 of 2,450 AI roles

1 … 25 26 28 29 123

Find your next AI role

ML Engineer (Applied AI)

(Senior) AI Engineer - AI Booster Team (m|w|d)

AI ENGINEER stage

AI Engineer - H/F/NB

Graduate AI Engineer

Generative AI Engineer _ Copilot Studio

Staff Software Engineer - AI/ML

^AI ML Engineer - 6352113

^AI ML Engineer - 6352112

^AI ML Engineer - 6352112

Agentic AI Engineer

AI/ML Engineer Intern

Sr. AI Engineer - Large Language Models Agentic Systems

Senior Generative AI Engineer

Senior AI Engineer (Arabic Speaker)

Data Scientist, AI Engineer

AI Engineer

AI Engineer

AI Engineer

AI Engineer