Software Engineer, Divergent Technologies

• The ideal candidate is self-motivated, independent, detail-oriented, hands-on, and able to respond quickly in a fast-moving environment
• We value leadership skills and those who conduct all activities with the highest of integrity
• Ability to lawfully access information and technology that is subject to US export controls
• Proficient in programming languages such as Python and C++
• Familiarity with data structures and algorithms
• Understanding of LLMs and multimodal models with their performance considerations and use cases
• Knowledge about prompt engineering, model fine-tuning, and setting hardware requirements
• Experience using different LLM frameworks such as LangChain, LamaIndex, and Haystack
• Experience with ML/LLM libraries such as vLLM, Keras, PyTorch, TensorFlow, and HuggingFace
• Practical experience developing, deploying, and scaling AI Agents in a production environment
• Bachelor’s in computer science, AI, ML or related field
• 3+ years of experience in AI/ML engineering
• Excellent communication and collaboration skills

Desirable

• We are seeking an AI Software Engineer with a strong background and hands-on experience using the latest technologies in Generative AI along with traditional AI knowledge
• This role will be key to building AI-powered applications that improve process efficiency and product quality at Divergent
• You will be working on designing, developing, and deploying AI software leveraging large language models (LLMs) and multimodal models
• You will be responsible for an end-to-end solution that includes data ingestion, model training, prompt engineering, inference optimization, and production deployment
• Design, develop, and deploy innovative generative AI models and algorithms using the latest deep learning techniques
• Collaborate with cross-functional teams to integrate and optimize generative AI solutions into products and processes
• Select and fine-tune the state-of-the-art generative process for the given use case
• Architect domain specific AI software using RAG, PEFT, and prompt engineering
• Determine hardware requirements and optimize inference performance for generative AI pipelines
• Collaborate with the infrastructure team to design the deployment architecture
• Collaborate with the data engineers, product teams, people operations, and legal to ensure compliant and responsible AI
• Implement model monitoring and bias mitigation to improve result quality