Role responsibilities
Design, build, and deploy AI solutions powered by LLMs, RAG, and agentic AI systems that solve real business problems. Collaborate with senior engineers and stakeholders to ensure reliable production AI systems that balance quality, latency, cost, and maintainability.
Requirements
Candidates should have a bachelor's degree in Computer Science or a related field with 4+ years of relevant experience, including 2+ years in software engineering, data engineering, or machine learning. Experience with LLM-based applications and agentic AI systems is required, along with strong Python programming skills.
Key skills
Software Engineering, Data Engineering, Machine Learning, Applied Modeling, Large Language Models, Retrieval-Augmented Generation, Agentic AI Systems, Context Engineering, Prompt Engineering, Production Software Systems, APIs, Data Pipelines, Evaluation Strategies, Monitoring, Python Programming, Continuous Improvement
Keywords
AI Engineer, Digital Identity Authentication, Biometric Recognition, Fraud Prevention, Computer Vision, Machine Learning, Data Systems, Production Software, Evaluation Frameworks, Monitoring, Observability, Cloud Environments, Distributed Systems, Scalable Inference Services, Human-in-the-Loop Workflows, Vector Databases, Graph Databases