Senior Full Stack Engineer (Node.js + React) for a fast - growing AI startup recognized as a Top 10 GenAI company. Building scalable, high - performance web applications for Fortune 500 clients.
About the role
- AI Engineer designing and optimizing agentic AI systems for the AI Procurement Platform. Utilizing Python and LangGraph to enhance digital procurement workflows and decision-making.
Responsibilities
- Design, build, and optimize agentic AI systems that automate complex procurement workflows
- Power intelligent decision-making across our platform
- Work with cutting-edge technologies in Python, LangGraph, and AWS
- Integrate and fine-tune models from leading providers such as OpenAI, Anthropic, and AWS Bedrock
- Collaborate in person ideally for a week each month in the Berlin or Barcelona office
Requirements
- Strong professional experience in Python software development
- Proven experience building AI-driven or agentic systems, preferably with LangGraph or similar frameworks
- Solid understanding of Large Language Models (LLMs) and their integration with external APIs or structured data
- Hands-on experience working with LLM providers such as OpenAI, Anthropic, or AWS Bedrock
- Familiarity with cloud-based deployment and scaling, ideally using AWS services
- Strong problem-solving skills with a focus on maintainable, efficient, and scalable code
- A collaborative mindset and comfort working remotely with distributed teams
- Curiosity, adaptability, and a passion for staying ahead in the evolving world of AI
- Bonus: Experience with semantic search technologies (vector databases, embeddings, RAG systems)
- Bonus: Strong background in measuring, evaluating, and optimizing AI system performance with clear metrics and benchmarking
- Bonus: Experience implementing observability and monitoring solutions for AI systems to track quality and iterate on improvements
- Bonus: Experience building or integrating MCP (Model Context Protocol) servers for extending AI capabilities
- Bonus: Knowledge of agent-to-agent (A2A) communication patterns and multi-agent system architectures
Benefits
- Flexible remote setup with optional travel to our offices in Berlin or Barcelona
- Career growth opportunities in applied AI engineering and architecture
- A collaborative and innovative culture that values experimentation and continuous learning
- Real ownership and autonomy in developing core AI components and system design
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Operations Consultant for Alto Software Group focusing on AI - driven efficiencies and automation across operations and systems. A role supporting cross - functional collaboration to implement impactful solutions.
AI Subject Matter Expert at Agile Defense, transforming AI technologies for cybersecurity. Leading initiatives in the Security Operations Center to enhance operational capabilities and threat detection.
Change & Communications Manager at PwC Australia driving AI adoption through effective change strategies. Leading initiatives across financial services, government, healthcare, energy, and technology sectors.
Manager providing oversight for AI/ML initiatives and implementing governance at TD, a leading financial institution.
Managing Consultant at AND Digital aligning data and AI strategies with business goals. Guiding clients on data value and AI integration within their operations in the UK.
Lead AI - /GenAI projects from scoping to rollout for major clients at twomynds. Collaborate with experts and ensure effective project delivery with clear objectives and standards.
AI Program Leader leading the development of Alcoa’s AI strategy and managing AI deployment. Collaborating with stakeholders to prioritize AI opportunities and ensure value delivery across operations.
Project Lead managing a 50 - person AI training team at Keywords Studios. Overseeing performance and process improvements while collaborating across multiple functions and teams.
AI Analyst at Level AI analyzing user behaviors and trends to drive product impact. Collaborating on automation enhancements and statistical modeling for improved AI performance.