Senior Software Engineer (GenAI)

GenAI Data Software Engineer

Data Engineering Function – Data Division

Job Summary

We are looking for an senior-level software engineer with deep experience in building scalable systems and a strong command of modern programming practices. This role is centered on engineering excellence in the development of Generative AI (GenAI) and Agentic applications, with a focus on full-stack development, cloud-native architecture, and high-performance backend systems. Experience in AI/ML and collaboration with Data Science teams is a strong plus.

I. Key Responsibilities:

• Architect, develop, and maintain robust Agentic applications leveraging GenAI technologies
• Design and implement scalable APIs and microservices, with a focus on cloud-native deployment (preferably AWS, especially EKS)
• Collaborate with cross-functional teams including Data Scientists and MLOps to integrate AI/ML models into production systems
• Drive engineering best practices: testing, code reviews, CI/CD, and performance optimization
• Lead system design and contribute to architectural decisions for GenAI platforms
• Monitor and enhance system performance, reliability, and scalability
• Stay up to date with advancements in GenAI, LLMs, and distributed systems engineering

II. Required Qualifications:

• 6+ years of hands-on software engineering experience with a strong portfolio of production-grade systems
• Expertise in Python and/or Java, including deep understanding of language internals, memory management, concurrency, and performance tuning
• Strong grasp of software design principles (OOP, SOLID, design patterns)
• Proven experience in building and deploying cloud-native applications (preferably AWS)
• Full-stack engineering skills: API design, microservices, backend integration with cloud databases and services
• Experience working alongside Data Science teams on AI/ML-driven products
• Proficient in English communication, both written and verbal

III. Technical Expertise

• Clean, maintainable, and testable code following best practices
• System design, debugging, profiling, and optimization
• Familiarity with frameworks and tools:
• Python: FastAPI, Flask, Django
• Java: Spring Boot, Hibernate
• CI/CD pipelines, Git, automated testing frameworks

IV. Desirable Skills

• Experience with agent frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel) and LLM-based applications
• Familiarity with data/ML pipelines, big data tools, real-time data processing, and platforms like Databricks
• Strong DevOps and GitOps practices
• Exposure to design review and change management processes
• Web application development experience

V. Attributes

• Strong collaboration and communication skills
• Results-oriented with a focus on delivering business value
• Detail-driven, disciplined, and intellectually curious
• Passionate about continuous learning and staying ahead in tech