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The AI Engineer Intermediate Analyst is an intermediate-level professional responsible for designing and implementing complex, scalable AI solutions in coordination with the AI Innovation team. The overall objective is to apply a strong understanding of AI, software architecture, and business processes to build and optimize high-performance AI systems.
Job Responsibility:
Design and develop production-ready Generative AI and Agentic solutions, with a strong focus on Agent Architecture selection, memory management, hallucination control, and performance measurement
Analyze complex business processes and problems to design and implement technology and analytic solutions at scale, with a focus on performance optimization
Develop and maintain robust data and technology pipelines, ensuring they are scalable, efficient, and reliable
Implement feedback loops for AI agents using reinforcement learning techniques to continuously improve solution effectiveness
Take ownership of the technical design and implementation of AI features and services
Adhere to and promote best practices in software development, MLOps, and Model Governance
Mentor junior engineers and provide technical guidance on projects
Requirements:
4-7 years of overall experience
Minimum of 2 years of experience in developing production-ready Gen AI based RAG or Agent-based solutions
Strong experience in designing Agentic solutions, including Agent Architecture selection, memory management, hallucination control, and measuring solution effectiveness
Proven ability to analyze business problems and design scalable technology/analytic solutions
Hands-on experience with performance optimization of highly scalable systems
Strong proficiency in Python
Deep experience with AI/ML frameworks (PyTorch, TensorFlow, LangChain)
Extensive experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes), and MLOps tools
Experience with data pipeline and technology pipeline development
Excellent analytical skills
Deep understanding of software architecture principles
Bachelor's/University degree or equivalent experience in Computer Science, Engineering, or a related quantitative field
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