AI Backend Engineer

Summary

Join Uberall and help design, build, and deploy intelligent agents that understand, reason, and act on behalf of customers. As an AI Engineer, you will work at the forefront of applied AI, combining LLMs, RAG, knowledge graphs, and autonomous agent frameworks to solve real-world customer engagement problems. This highly collaborative role involves close work with product managers, designers, data scientists, and engineers. You will design and implement AI agent architectures, develop and maintain pipelines for agent reasoning, and evaluate models to improve performance. The position requires optimizing agent cost and latency, monitoring deployed agents, and staying ahead of emerging trends in agent-based AI. Uberall offers a mission-driven environment, a flexible work style, competitive pay and perks, and various wellness benefits.

Requirements

• Solid experience (3+ years) in software engineering with a focus on AI/ML systems
• Hands-on experience with LLMs, RAG pipelines, prompt engineering, or autonomous agent frameworks (e.g., LangChain, CrewAI, AutoGPT)
• Strong programming skills in Python (preferred) and familiarity with cloud environments (AWS preferred)
• Good understanding of information retrieval, knowledge graphs, and/or planning & reasoning in AI
• Familiarity with MLOps, experiment tracking, and model deployment practices
• Experience working with unstructured text data and NLP tasks
• Excellent problem-solving skills, with a bias towards delivering results
• Strong communication and teamwork abilities in a fast-paced, collaborative environment

Responsibilities

• Design and implement AI agent architectures tailored to customer engagement and automation use cases
• Develop and maintain pipelines for agent reasoning, memory, planning, and tool use — integrating LLMs, RAG systems, and external APIs
• Evaluate models and agents to improve performance, reliability, and alignment
• Collaborate on building a robust agent framework with support for multi-step workflows and dynamic goal execution
• Optimize agent cost, latency, and safety for production environments
• Monitor, test, and continuously improve deployed agents based on customer feedback and analytics
• Stay ahead of emerging trends in agent-based AI and proactively bring innovative ideas into our products

Preferred Qualifications

• Experience with reinforcement learning or agent simulation environments
• Background in human-in-the-loop systems or AI safety/alignment
• Contributions to open-source agent frameworks or NLP libraries

Benefits

• A piece of the pie Our pay & perks are competitive, and you better believe we review them on the regular to make sure they stay that way
• We grow together, so of course all Uberallers are part of our long-term incentive program through VSOP/ESOP
• Flexibility to fit your lifestyle Want to come to an office for collaboration? We’ve got space for you in Berlin, Amsterdam, and Barcelona. We also offer co-working access in Montreal, Paris, London, LA and San Diego. Prefer to work remotely? Fine by us! Bonus points if we meet your pets in a video call. If working from another country is legally possible for you and within a reasonable time zone, we happily support work-ations
• Health and Wellness We prioritize your wellness with generous holiday time, paid parental and circumstantial leave, and individualized health and wellness opportunities depending on your location
• Everyday growth We support you on your non-stop learning journey. We offer development dialogues, live workshops on topics like resilience and feedback and a Leadership Academy to make sure our leaders have all the tools to bring out the very best in teams. We also invest in your growth with a learning fund program reinforcing our commitment to fostering a culture of continuous learning