About the Role
Aambience Services is an innovative company, providing workflow automation solutions and information technology services. What makes us different is our strong desire to challenge the status quo, inspire and create ground-breaking solutions. We build relationships of trust with our clients, on solid foundations of quality and know-how, while creating great experiences, through great customer service.
Our team consists of experienced professionals with a passion for their work. They are the cornerstone of our company’s dynamic culture and stand as strong and reliable partners towards our customers’ concerns and needs. This is why we have built a diverse environment that maximizes employee engagement and performance, based on our key value to invest in and develop our people and teams.
We’re looking for an AI/ML Engineer to lead the design and development of intelligent systems and AI‑driven agents that power next‑generation automation and decision‑making across our platforms, services and products we offer to our clients. You will work on advanced models, agentic workflows, and scalable ML pipelines, bringing deep technical expertise and a strong sense of ownership. You will collaborate closely with engineering, product, and domain experts to deliver impactful, reliable, and innovative AI solutions.
What You’ll Do
- Design, build, and optimize AI‑driven agents and autonomous workflows
- Develop, fine‑tune, and evaluate machine learning models for production use
- Architect and implement data pipelines, model‑serving infrastructure, and agent orchestration components
- Lead experimentation, research, and prototyping of new AI techniques and agent frameworks
- Collaborate with cross‑functional teams to integrate AI capabilities into applications and platforms
- Ensure performance, reliability, and scalability of deployed models and agent systems
- Contribute to technical strategy and mentor other engineers in AI/ML best practices
Requirements
What We’re Looking For
- Design, build, and optimize AI‑driven agents and autonomous workflows
- Develop, fine‑tune, and evaluate machine learning models for production use
- Architect and implement data pipelines, model‑serving infrastructure, and agent orchestration components
- Lead experimentation, research, and prototyping of new AI techniques and agent frameworks
- Collaborate with cross‑functional teams to integrate AI capabilities into applications and platforms
- Ensure performance, reliability, and scalability of deployed models and agent systems
- Contribute to technical strategy and mentor other engineers in AI/ML best practices
Νice to Have
- Background in startups or high-growth environments.
- Experience in B2B environments
- Experience with Agile methodologies
Benefits
- 💸 Competitive renumeration package
- 🏥 Private medical insurance
- 🎯 Performance based bonus
- 📚 Training & development opportunities
- 🤝 A team that loves innovation, quality, and having fun at work
- ⚖️ Work-life balance
If you want to actively contribute to shaping a culture of continuous learning and improvement, send us your resume and become part of our exciting journey!
