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SeniorFull-timeRustDjangoSpringAWSKubernetesDockerMachine LearningCI/CDGoAI
Salary Range
$26,520 - $35,880 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a visionary and hands-on AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.
Key Responsibilities
- →Spearhead AI Innovation: Act as the chief technical authority on AI, researching, evaluating, and prototyping cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve complex data extraction challenges.
- →Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines to process millions of documents daily with high reliability and throughput.
- →Tackle Real-World AI Challenges: Solve practical problems of production AI, including managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant systems.
- →Be a Force Multiplier: Act as the key technical mentor and thought leader for our engineering team and drive mission-critical initiatives to production.
Requirements
- ✓10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
- ✓Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
- ✓Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
- ✓Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
- ✓Exceptional communication and leadership skills to articulate complex technical concepts to diverse audiences and influence engineering direction across multiple teams.
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