Expert Planning role harmonizing supply chain processes for a logistics group. Focused on optimizing planning processes and supporting users in the logistics division.
About the role
- Algorithm Engineer designing and optimizing LLM-based agents for TechSee's Cognitive AI team. Collaborating with cross-functional teams to deliver scalable AI solutions in a hybrid work environment.
Responsibilities
- Design, develop, and optimize LLM-based agents for real-world production use cases
- Build intelligent agent frameworks that orchestrate reasoning across tools, APIs, and knowledge bases
- Deploy and maintain LLM applications in production, ensuring performance, scalability, and reliability
- Research new approaches in LLMs and agent architectures, and integrate cutting-edge techniques into production systems
- Collaborate with cross-functional teams (product, engineering, data) to translate business needs into AI solutions
- Continuously monitor and optimize deployed models, diagnosing and resolving bottlenecks
- Think creatively about complex problems and deliver technological Innovation
Requirements
- 3+ years experience as an Algorithm/Machine Learning Engineer
- 1+ years hands-on experience developing and deploying LLM-based applications in production
- Proficiency in Python and experience with Gen AI, Gen-related Python libraries and modules
- Solid understanding of cloud environments (AWS, GCP, or Azure)
- Strong research and problem-solving mindset; ability to keep up with state-of-the-art in AI
- Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine-tuning, inference, and more – Advantage
- Experience with agent-based architectures (tool orchestration, retrieval-augmented generation, structured reasoning) – Advantage
- Expertise with vector databases (e.g., OpenSearch, Pinecone) for data storage and retrieval – Advantage
- Strong analytical mindset, fast learner, and highly motivated to explore new tools and AI techniques
- Excellent teamwork, communication, and ability to thrive in a fast-moving startup environment
- Bachelor or M.Sc. in Computer Science, Electrical Engineering, or a related field.
Benefits
- Personal development programs and professional training
- Solid base salary and incentives plan
- Strong benefits
- Ownership (equity) in a high-growth SaaS venture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Scheduling Engineer managing complex timelines and resource allocation for high voltage projects at Omexom. Collaboration with project teams to ensure project delivery and risk management.
Ingenieur/Fachplaner in Gebäudeautomation bei Ecotec GmbH. Teamarbeit und Projektkoordination in Digitalisierungsprojekten mit modernsten Techniken in Bremen.
Industrial Engineer specializing in warehouse design and automation for supply chain solutions at Fulfillment IQ. Seeking skilled professionals to drive innovative improvements in logistics.
Engineer project manager overseeing building pollutant investigations and project management at WESSLING Consulting Engineering. Focusing on client relationships and technical assessments in Mannhein.
Field engineer for commissioning building materials equipment worldwide. Responsible for staff training, support in customer operations, and technical documentation.
Commercial Engineer in IT developing strategic sales in the Indian Ocean region, specifically targeting private sector in La Réunion. Focus on personalizing client approaches and strengthening business relationships.
Project Manager in chemical production with a focus on sustainability. Leading a team of junior project managers and overseeing investment projects.
Senior Engineer, Quality ensuring product excellence by implementing quality assurance processes for medical devices. Collaborating across validation, verification, and product lifecycle management with a focus on compliance.
IT - System - Engineer responsible for managing Windows Server environments and customer onsite installations. Role involves administration, security concepts, and scripting tasks in hybrid work environment.