Experience:

• 6+ years of experience in AI/ML, software engineering, data or analytics
• 2-5 years of core experience in AI/ML solution development, ML engineering, with a focus on NLP and applied GenAI systems

Qualification:

• Bachelor's or Master's degree in Computer Science / Engineering / Data Science / or similar specialization

Responsibilities:

• Develop and scale GenAI and agent-based capabilities within digital products
• Design, develop and deploy GenAI and agentic systems supporting reasoning, planning, and semi-autonomous workflows
• Build and enhance components of GenAI solutions using LLMs, RAG pipelines, prompt engineering and tool integration
• Develop intelligent workflows using techniques such as prompt engineering, context orchestration and function/tool calling
• Integrate GenAI capabilities into enterprise applications using APIs, microservices, and containerized environments

More skills:

LLM ecosystems (e.g., OpenAI, Azure OpenAI, open-source models), embeddings or vector databases, APIs, containerized environments, context orchestration, function/tool calling, LLM evaluation concepts, LLMOps practices

Other:

• Opportunity to grow your career while working in a global, multicultural environment that promotes continuous learning and development
• Accelerated learning & growth
• Global collaboration & collaborative team culture
• Opportunity to shape your role
• Supportive and inclusive environment
• Career growth in a global organization