We are seeking a highly skilled Data Scientist to help build and lead a team focused on Generative AI and data science enablement. This role will work closely with data scientists to design and deliver scalable AI-powered systems, particularly around Retrieval-Augmented Generation (RAG), LLM-based solutions, and NLP-driven applications. The ideal candidate combines strong Python engineering expertise, experience delivering customer-facing products, and the ability to architect solutions for complex AI-driven environments. This role will also involve mentoring junior engineers and supporting production-grade AI services. Must Have Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or PhD preferred)
• 4+ years of software engineering experience, particularly collaborating with data science or AI teams
• Hands-on experience with Generative AI systems, including LLMs, NLP pipelines, and RAG implementations
• Proven experience building and deploying end-to-end customer-facing software products
• Strong proficiency in Python and modern backend development practices
• Experience designing architecture and scalable solutions for AI-driven applications
• Ability to mentor and guide junior engineers
• Strong problem-solving and system design skills

Preferred Qualifications

• Previous experience working at large technology companies or comparable organizations, such as Amazon, Meta, Microsoft, Apple, Thomson Reuters, or similar environments
• Exposure to large-scale distributed systems or AI platforms
• Experience working closely with data scientists, ML engineers, and product teams

Key Responsibilities

Technical Leadership

• Design and develop scalable software architectures supporting generative AI and machine learning workflows
• Lead the development of Python-based services, APIs, libraries, and microservices
• Support RAG pipelines, LLM integrations, and NLP-based systems

Collaboration

• Work closely with data scientists, product managers, and engineering teams to translate business requirements into technical solutions
• Collaborate across teams to deliver AI-powered features and services

Development & Quality

• Implement high-quality, maintainable, and well-tested code
• Conduct code reviews and enforce engineering best practices
• Contribute to automated testing strategies including unit, integration, and end-to-end tests

Team Leadership

• Help build and lead a team of engineers supporting AI initiatives
• Mentor junior engineers and promote knowledge sharing and continuous improvement

Operations & Delivery

• Support regular service releases, monitoring, and issue resolution
• Maintain system reliability through service tracking, logging, and monitoring

Continuous Improvement

• Stay current with emerging technologies in Python development, AI infrastructure, and generative AI ecosystems
• Recommend improvements in architecture, tooling, and engineering practices

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