
Agentic Artificial Intelligence Engineer
Posted May 20

Posted May 20
This is a fully remote position, open to applicants in Germany.
• Design and develop sophisticated AI modules, including high-performance embedding pipelines, custom chunkers, and advanced retrieval evaluators.
• Lead the integration of intelligent agent services with various internal and external APIs and vector databases to address complex, cross-service challenges.
• Remain at the forefront of AI research, applying the latest advancements in fine-tuning, RLHF, and prompt engineering frameworks such as DSPy.
• Promote agile excellence by leading sprint deliveries and collaborating with cross-functional leaders to define the scope of transformative AI features.
• Advocate for code quality and team development through high-level peer reviews and contributions to shared utility libraries that enhance development velocity.
• Design and implement modular, cloud-native microservices that integrate GenAI into our production ecosystem, ensuring our Agentic solutions are both scalable and reliable.
• Take charge of the production lifecycle by establishing robust CI/CD pipelines and utilizing observability frameworks (like Datadog or Databricks) to monitor model health, trace agent logic, and maintain system uptime.
• Foster technical excellence by creating comprehensive evaluation suites—integrating both traditional testing and modern LLM-based evaluations—to benchmark accuracy, safety, and performance before each release.
• Over 6 years of substantial engineering experience.
• Expertise in Python with a profound understanding of developing and scaling high-quality code.
• At least 6 months of hands-on experience in building and deploying GenAI applications.
• Strong foundation in RAG frameworks, including vector databases, hybrid search, and ANN algorithms.
• B.Tech, M.E, M.Tech, or M.S. in Computer Science Engineering from a prestigious institution.
• Flexible work arrangements.
• Professional development opportunities.
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