- Develop, optimize, and deploy applications using LLMs to meet specific business requirements and use cases across business units and functions.
- Implement the RAG architecture to enhance response quality across various applications.
- Utilize prompt engineering techniques to extract desired outputs from generative models promptly.
- Collaborate with cross-functional teams to integrate GenAI-driven solutions into business workflows.
- Stay informed about the latest advancements in GenAI developments and techniques.
- Contribute to the establishment of best practices for efficient utilization of generative models in business and automation contexts.
- Mentor and guide team members in comprehending and applying LLMs effectively. Working with leadership and stakeholders to identify AI opportunities and promote strategy
- Be able to deliver solutions following modern software development practices.
- Bachelor's degree in computer science, IT, AI or relevant discipline
- Solid proficiency (3+ years) in Python and related AI/ML libraries. Hands-on experience with GenAI, LLMs, particularly OpenAI models like ChatGPT, Langchain, and Vector Database/Embeddings.
- Deep understanding of the RAG architecture and its implementation.
- Proficient (1+ year) with techniques and methodologies of prompt engineering.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
- Experience of API-based integrations and cloud deployment (e.g., AWS, Azure, GCP).
- Solid experience (3+ years) with building and maintaining business application API integration (e.g. Salesforce, Oracle)
- Familiarity with NLP toolkits like HuggingFace
- Ability to write high-quality, maintainable code and work collaboratively.
- Consultative skills, including the ability to understand and assist in applying customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements.
- Knowledge of Agile software development lifecycle, including experience of applying change control procedures and disciplines required.
- Problem solving with strong analytical skills with the ability to analyze complex requirements and define technical/functional advanced solutions.
- Excellent communication skills in both verbal and written English.
- Experience with full stack engineering and microservices architecture
- Experience with SQL/NoSQL databases, containerization, and cloud platforms
- Experience with process/RPA automation
- Experience working in an IT Center of Excellence
- Post Grad or master's degree in computer science, Artificial intelligence, or Machine Learning
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Gen AI Software Developer Senior - Heredia, Costa Rica - Experian
Descripción
Job Description
Experian is the world's leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses, and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for . In addition, for the last five years we've been named in the 100 "World's Most Innovative Companies" by Forbes Magazine .
We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses, and society. For more than 125 years, we've helped economies and communities flourish – and we're not done. Our over 20 thousand amazing employees in 40+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, talented people, and innovation so we can help create a better tomorrow. To do this we employ the brightest minds that share our purpose and want to make a difference.
Job Description:
We are in search of a dedicated Generative AI Solutions Developer who possesses the expertise to harness the capabilities of large language models (LLMs) such as ChatGPT for business applications. The ideal candidate will utilize the Retriever-Augmented Generation (RAG) architecture and will be proficient in prompt engineering techniques to optimize model performance for specific tasks as well as able to deliver automated actions and workflows.
Responsibilities:
Qualifications
Knowledge, Experience & Qualifications
Required Skills:
Desired Skills:
Additional Information
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and it ensures that we live what we believe.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Experian is proud to be an Equal Opportunity and Affirmative Action employer. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses, and society. For more than 125 years, we've helped people and economies flourish – and we're not done.
We take our people's agenda very seriously. We focus on what truly matters; diversity and inclusion, work/life balance, flexible working, development, collaboration, wellness, reward & recognition, volunteering, making an impact... the list goes on. See our DEI work in action
The power of YOU. We are building a culture where everyone is comfortable bringing their whole self to work. A place where we not only respect our differences and values but celebrate them in a positive and supportive environment.
Find out what is like to work for Experian and discover the Unexpected
