Design and architect scalable, resilient, and maintainable software systems across client engagements
Lead development of complex, distributed applications integrating APIs, data services, and AI/ML components
Design systems that incorporate data pipelines, real-time processing, and AI-driven features
Collaborate with data engineers and data scientists to productionize machine learning models and AI workflows
Implement architectures that support LLM integrations, RAG patterns, and intelligent automation where appropriate
Break down complex problems into clear architectural approaches and execution strategies
Ensure system performance, scalability, reliability, and security across application and data layers
Guide teams in adopting modern patterns such as microservices, event-driven systems, and cloud-native architectures
Lead technical decision-making, trade-off analysis, and system design discussions
Drive best practices in CI/CD, DevOps, and software quality
Mentor engineers and provide technical leadership across multiple teams
Contribute to long-term architecture strategy, including evolution toward AI-enabled systems

7+ years of experience building complex software applications in production environments
BA/BS in Computer Science or related field, or equivalent experience
Strong understanding of large-scale system architecture, including performance, scalability, and reliability
Experience designing systems that integrate data platforms or AI/ML components
Proficiency in one or more modern programming languages (e.g., Python, Java, TypeScript, Go)
Strong experience with API design and distributed systems
Familiarity with data pipelines, data modeling, and real-time/streaming architectures
Exposure to machine learning systems, generative AI, or LLM-based applications
Excellent communication skills across technical and non-technical audiences

MojoTech

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