Lead Generative AI Engineer - Python and LangChain
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What you'll do
- Lead analytics to deepen core areas for Retail Bank business through different analytical solutions with a focus on leveraging Generative AI capabilities to enhance productivity and build highly customized solutions.
- Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions.
- Evaluate different agentic architectures and evolving industry practices to select the optimal approach for business problems.
- Design and implement agent training, performance measurement, correction, and feedback processes, and create/articululate new architectural options.
- Ensure solutions meet stringent compliance, security, and performance management standards.
- Collaborate with and advise business stakeholders on the scope and capabilities of Generative AI solutions.
- Mentor other data scientists in the team, training them in advanced Agentic solution development and software engineering best practices.
What they're looking for
- 4-7 years of overall experience with preferred experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions.
- Mastery of Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes).
- Expert-level understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.
- Strong experience in architecting and designing highly scalable, available, and performant technology solutions.
- Deep expertise in Agent training, performance measurement, and feedback processes.
- In-depth knowledge of compliance, security, and performance management in a production environment.
- Bachelor's/University degree and relevant experience; Master's degree preferred in Computer Science, AI, Engineering, or a related quantitative field.
Nice to have
- Master's degree in Computer Science, AI, Engineering, or a related quantitative field.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
This is a role responsible for architecting, designing, and leading the development of innovative and scalable solutions for Retail Bank business with a close focus on generative AI capability based solutions. The overall objective is to leverage technical expertise and skills to drive the execution of key AI initiatives.
Responsibilities:
- Lead analytics to deepen core areas for Retail Bank business through different analytical solutions with a focus on leveraging Generative AI capabilities to enhance productivity and build highly customized solutions.
- Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions.
- Evaluate different agentic architectures and evolving industry practices to select the optimal approach for business problems.
- Design and implement agent training, performance measurement, correction, and feedback processes, and create/articulate new architectural options.
- Ensure solutions meet stringent compliance, security, and performance management standards.
- Collaborate with and advise business stakeholders on the scope and capabilities of Generative AI solutions.
- Mentor other data scientists in the team, training them in advanced Agentic solution development and software engineering best practices.
Qualifications:
- 4-7 years of overall experience with preferred experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions.
- Mastery of Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes).
- Expert-level understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.
- Strong experience in architecting and designing highly scalable, available, and performant technology solutions.
- Deep expertise in Agent training, performance measurement, and feedback processes.
- In-depth knowledge of compliance, security, and performance management in a production environment.
Education:
- Bachelor's/University degree and relevant experience; Master's degree preferred in Computer Science, AI, Engineering, or a related quantitative field.
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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