Jobgether
Overview
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Senior AI Developer
in
EMEA . As a Senior AI Developer, you will play a key role in building next-generation software powered by Generative AI. This role goes beyond traditional development — you'll design, prototype, and implement AI Agents that transform how products are conceived, built, and deployed. Working across the full product lifecycle, you'll integrate reasoning frameworks, retrieval architectures, and prompt engineering to solve complex challenges. This position is ideal for engineers who see AI not just as a tool, but as the core of modern engineering practice. You'll work in a collaborative and forward-thinking environment, leveraging cutting-edge technologies to deliver real impact.
Accountabilities
Translate complex product and engineering challenges into AI-driven solutions that enhance development speed, accuracy, and scalability
Design, build, and deploy intelligent AI Agents using reasoning and memory architectures (RAG, ReAct, Chain of Thought, MCP, A2A)
Apply advanced prompt engineering and orchestration frameworks to optimize LLM performance across use cases
Collaborate with product and engineering teams to embed AI into every phase of the software lifecycle — from design to operations
Prototype, test, and scale AI applications while ensuring reliability, efficiency, and safety
Design and conduct evaluations (Evals) to measure LLM output quality, robustness, and cost-effectiveness
Support pre-sales and client engagements by demonstrating applied AI solutions and technical feasibility
Continuously explore and integrate the latest GenAI research and agentic frameworks into engineering best practices
Communicate insights, trade-offs, and technical strategies clearly to both engineers and non-technical stakeholders
Requirements
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field
Strong programming experience in Python (or equivalent modern language)
Proficiency in English, with the ability to communicate technical and business concepts effectively
Hands-on experience in cloud-native environments (e.g., AWS, Azure, or GCP)
Familiarity with modern reasoning and orchestration strategies such as Chain of Thought, ReAct, and RAG
Previous experience developing or integrating AI Agents and multi-agent systems is highly valued
Understanding of evaluation methodologies (Evals) for testing and validating AI model performance
Knowledge of Knowledge Graphs or hybrid RAG architectures is a plus
Strong analytical mindset, adaptability, and passion for AI innovation and continuous learning
Benefits
Health and dental insurance coverage
Meal and food allowances
Childcare assistance and extended paternity leave
Access to wellness programs and gym partnerships (Wellhub/Gympass, TotalPass)
Profit Sharing and Results Participation (PLR)
Life insurance and a comprehensive employee well-being platform
Continuous learning opportunities via internal and partner education platforms
Access to language learning and professional development resources
Inclusive culture with dedicated health, well-being, and diversity teams providing ongoing support
Thank you for your interest!
#J-18808-Ljbffr
Senior AI Developer
in
EMEA . As a Senior AI Developer, you will play a key role in building next-generation software powered by Generative AI. This role goes beyond traditional development — you'll design, prototype, and implement AI Agents that transform how products are conceived, built, and deployed. Working across the full product lifecycle, you'll integrate reasoning frameworks, retrieval architectures, and prompt engineering to solve complex challenges. This position is ideal for engineers who see AI not just as a tool, but as the core of modern engineering practice. You'll work in a collaborative and forward-thinking environment, leveraging cutting-edge technologies to deliver real impact.
Accountabilities
Translate complex product and engineering challenges into AI-driven solutions that enhance development speed, accuracy, and scalability
Design, build, and deploy intelligent AI Agents using reasoning and memory architectures (RAG, ReAct, Chain of Thought, MCP, A2A)
Apply advanced prompt engineering and orchestration frameworks to optimize LLM performance across use cases
Collaborate with product and engineering teams to embed AI into every phase of the software lifecycle — from design to operations
Prototype, test, and scale AI applications while ensuring reliability, efficiency, and safety
Design and conduct evaluations (Evals) to measure LLM output quality, robustness, and cost-effectiveness
Support pre-sales and client engagements by demonstrating applied AI solutions and technical feasibility
Continuously explore and integrate the latest GenAI research and agentic frameworks into engineering best practices
Communicate insights, trade-offs, and technical strategies clearly to both engineers and non-technical stakeholders
Requirements
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field
Strong programming experience in Python (or equivalent modern language)
Proficiency in English, with the ability to communicate technical and business concepts effectively
Hands-on experience in cloud-native environments (e.g., AWS, Azure, or GCP)
Familiarity with modern reasoning and orchestration strategies such as Chain of Thought, ReAct, and RAG
Previous experience developing or integrating AI Agents and multi-agent systems is highly valued
Understanding of evaluation methodologies (Evals) for testing and validating AI model performance
Knowledge of Knowledge Graphs or hybrid RAG architectures is a plus
Strong analytical mindset, adaptability, and passion for AI innovation and continuous learning
Benefits
Health and dental insurance coverage
Meal and food allowances
Childcare assistance and extended paternity leave
Access to wellness programs and gym partnerships (Wellhub/Gympass, TotalPass)
Profit Sharing and Results Participation (PLR)
Life insurance and a comprehensive employee well-being platform
Continuous learning opportunities via internal and partner education platforms
Access to language learning and professional development resources
Inclusive culture with dedicated health, well-being, and diversity teams providing ongoing support
Thank you for your interest!
#J-18808-Ljbffr