Senior Software Engineer - Generative AI

About the Role

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn, and want to make a real impact, now and in the future. We are looking for a Senior Software Engineer - Generative AI to join our vibrant international team.

Responsibilities

• Design, develop, and deploy LLM-powered applications (chatbots, copilots, document intelligence systems)
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge use cases
• Develop AI agents and autonomous workflows using modern frameworks
• Perform prompt engineering and evaluation to improve output quality
• Integrate GenAI models with enterprise systems, APIs, and data sources
• Fine-tune or adapt foundation models (e.g., GPT, LLaMA, multimodal models, SLM's)
• Build scalable pipelines covering data ingestion, embeddings, retrieval, and generation
• Implement LLMOps practices (monitoring, evaluation, versioning, cost optimization)
• Ensure security, governance, and responsible AI practices
• Collaborate with product, data, and platform teams to deliver business solutions

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
• 5+ years of experience in software/ML engineering
• At least 1–2 years of hands-on experience in Generative AI / LLM-based systems
• Strong programming skills in Python
• Experience with LLMs and GenAI frameworks (OpenAI, Hugging Face, Anthropic, Google etc.)
• Hands-on experience with:
  • Prompt engineering
  • Embeddings & vector databases (FAISS, Pinecone, Qdrant, etc.), RAG architectures
  • Frameworks like LangChain, LlamaIndex, ADK, or similar
• Knowledge of deep learning frameworks (PyTorch, TensorFlow)
• Experience with API development and microservices
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Understanding of MLOps / LLMOps practices
• Experience with agentic AI frameworks (LangGraph, CrewAI, ADK, etc.)
• Knowledge of multimodal AI (text, image)
• Experience in fine-tuning or adapting foundation models
• Familiarity with knowledge graphs or semantic search systems
• Experience building AI copilots or automation systems
• Exposure to UI frameworks (Streamlit, Gradio) for GenAI apps