Source description
About the role
As a Python/AI Engineer at our client, a leading Agriculture Company, you will play a key role in modernizing their landscape by incorporating AI and innovations. Your primary responsibilities will include developing cutting-edge AI solutions, creating Proof of Concepts (PoCs), and integrating Large Language Models (LLMs) into the application landscape. Collaboration with business stakeholders and R&D teams will be essential to drive AI adoption and achieve impactful results. Responsibilities: - Design and develop PoCs, and present them to business stakeholders - Build and deploy innovative AI solutions using state-of-the-art models - Integrate LLMs into existing and new applications - Develop new functionalities within R&D applications - Promote and implement best process practices across AI development workflows Qualification Required: - 8+ years of experience in AI/ML development - Advanced proficiency in Python - Robust understanding of AI frameworks (e.g., TensorFlow, PyTorch) - Expertise in at least one LLM (e.g., GPT, Claude, LLaMA) - Solid foundation in Data Science and statistical modeling - Experience with Agentic Workflows using LangChain-based agents - Hands-on experience with LangGraph (e.g., hackathons or MCPs) - Deep understanding of fine-tuning techniques for LLMs - Hands-on experience with Transformer architecture and its evolution from earlier models If you possess knowledge of Multiple LLMs and their adoption in commercial projects, it would be considered a nice-to-have skill for this role. As a Python/AI Engineer at our client, a leading Agriculture Company, you will play a key role in modernizing their landscape by incorporating AI and innovations. Your primary responsibilities will include developing cutting-edge AI solutions, creating Proof of Concepts (PoCs), and integrating Large Language Models (LLMs) into the application landscape. Collaboration with business stakeholders and R&D teams will be essential to drive AI adoption and achieve impactful results. Responsibilities: - Design and develop PoCs, and present them to business stakeholders - Build and deploy innovative AI solutions using state-of-the-art models - Integrate LLMs into existing and new applications - Develop new functionalities within R&D applications - Promote and implement best process practices across AI development workflows Qualification Required: - 8+ years of experience in AI/ML development - Advanced proficiency in Python - Robust understanding of AI frameworks (e.g., TensorFlow, PyTorch) - Expertise in at least one LLM (e.g., GPT, Claude, LLaMA) - Solid foundation in Data Science and statistical modeling - Experience with Agentic Workflows using LangChain-based agents - Hands-on experience with LangGraph (e.g., hackathons or MCPs) - Deep understanding of fine-tuning techniques for LLMs - Hands-on experience with Transformer architecture and its evolution from earlier models If you possess knowledge of Multiple LLMs and their adoption in commercial projects, it would be considered a nice-to-have skill for this role.
More at Luxoft