Company Description

We are seeking a skilled AI Solutions Engineer to develop and integrate Generative AI and ML solutions that enhance our self-serve advertising platform. You will play a key role in designing, deploying, and optimizing AI-powered features, working closely with analytics, engineers, and product teams to drive AI innovation in AdTech.  

CUSTOMER
Our Customer is a Swedish AdTech company transforming how publishers and advertisers interact. They provide state-of-the-art self-serve advertising platforms that enable seamless, direct transactions between advertisers and some of the world’s largest publishers. Their mission is to make advertising more accessible, automated, and efficient through innovative technology. Together we serve globally recognized clients such as TripAdvisor, Bloomberg, The Washington Post, Opera, Dow Jones, etc.  

At Sigma Software, we collaborate with industry leaders like the Customer to push the boundaries of AI-driven automation in AdTech. As we continue to grow, we are looking for top talent to help shape the future of advertising through cutting-edge AI solutions. Join us in building intelligent, scalable, and impactful products in a fast-paced, dynamic environment.  

Job Description

• Collaborate with leadership to define and execute AI/ML strategy, aligning AI opportunities with company goals 
• Design, develop, and deploy AI solutions that automate, enhance, and optimize advertising processes  
• Fine-tune large language models (LLMs) and other generative models to improve product features like content generation, targeting, and user experience  
• Develop and implement Agentic AI solutions, including designing and deploying AI agents to enhance system performance  
• Work with cross-functional teams to integrate AI models seamlessly into the existing product ecosystem  
• Develop scalable, production-ready AI models using Python or Go, focusing on performance and deployment  
• Apply MLOps practices for deployment, version control, and performance monitoring of generative models and AI agents in production  
• Stay updated on the latest trends in Generative AI and Agentic AI, bringing innovative ideas to drive AI-driven business growth  
• Provide mentorship and technical guidance to other engineers on AI/ML best practices  

Qualifications

• 5+ years of experience in building and deploying AI/ML models, with expertise in Generative AI and Agentic AI  
• Proficiency in Python or Go, and deep learning architectures for generative models  
• Experience developing products using Generative AI models for image generation, natural language generation, or synthetic data generation  
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and Generative AI techniques  
• Experience with fine-tuning and deploying LLMs at scale, including for specific use cases  
• Experience in developing and deploying AI agents to improve system functionality and product features   
• Hands-on experience with cloud platforms (e.g., AWS) for deploying and scaling generative models and AI agents  
• Familiarity with MLOps frameworks and version control for managing AI models in production  
• Excellent communication skills for presenting technical concepts clearly 
• Upper-Intermediate or higher level of English  

WOULD BE A PLUS:  

• Bachelor’s or Master’s degree in computer science, machine learning, or related field (PhD preferred)  
• Background in software development 
• Knowledge of AdTech specifics and advertising domain  
• Familiarity with A/B testing, data pipelines, and AI-driven experimentation  
• Experience leading cross-functional AI projects focused on Generative AI and Agentic AI