- Design and deliver cutting-edge AI systems to solve some of our clients most challenging business problems

- Software development utilizing GenAI tools

- Developing, testing and refining AI-generated text prompts

- Collaborating with content, product and data teams to align prompts with company goals and user needs

- Continuously improving code quality, performance and the overall AI prompt generation process

- Conducting research on natural language processing and machine learning techniques to enhance prompt generation

- Analyzing user feedback and data to identify areas for improvement in prompt quality and performance

- Developing and maintaining documentation across the software development lifecycle

- Staying up-to-date with the latest advancements in AI and natural language processing

- Deliver production-grade, mature AI/ML solutions for our clients at scale, built with automated, repeatable processes

- Take ownership of and drive key architecture decisions around the AI/ML lifecycle (build, test, deploy, and monitor)

- Utilize best-of-breed practices, tools, and cloud solutions

Requirements and skills :

- Must have 4+ years of experience in Python development of services and/or applications where Python was used as the core programming

- 3+ years of professional experience with cloud technologies (AWS, GCP, Azure), AWS preferred

- Proven work experience as a Software Developer with GenAI skills

- Software development experience with NodeJS development, GitLab CI/CD, as well as queuing approaches and solutions

- Experience with document parsing into RAG GPT solutions and story estimation

- Comprehensive understanding of natural language processing, machine learning and AI-generated content development

- Excellent problem-solving and analytical skills

- Ability to collaborate effectively with cross-functional teams

- Experience using large language models, Langchain, Langgraph, vector databases, and cloud AI services to architect AI solutions (AWS SageMaker, GCP AI Platform, Azure ML), AWS preferred

- Experience in model development/fine-tuning and integration of LLMs to broader application workflows

- Expertise in prompt engineering, agentic frameworks, and retrieval augmented generation

- A creative approach to problem-solving using the latest AI technology

- SW development experience and able to apply GenAI services to build business applications

- Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn)

- Experience in production model management

- Knowledge of Unit Testing, automated testing and monitoring solutions

- Contributions to open-source projects

- A true passion for AI

- Relevant training and/or certifications in computer science, AI or a related field

- Strong verbal and written communication skills