The company is seeking to solve real problems across the enterprise by building and evolving Retrieval-Augmented Generation (RAG) applications that integrate knowledge from documents, databases, and services.
Requirements
- Advanced understanding of data structures, algorithms, databases
- Expertise in full-stack development, with a strong portfolio of enterprise-grade solutions
- Proficiency in programming languages such as Python, JavaScript, or C
- Mastery of AI frameworks such as TensorFlow, PyTorch, or Hugging Face
- Deep familiarity with LLM prompting best practices
- Strong proficiency in Python, SQL, and React
- Familiarity with cloud-based development environments such as Azure or AWS
Responsibilities
- Building the components of RAG-based applications, end-to-end.
- Working in Agile methodology within cloud-based development environments such as Azure or AWS
- Stay actively engaged with the rapidly evolving LLM ecosystem, including models, APIs, orchestration patterns, and frameworks like Anthropic MCP, Hugging Face, LangChain, etc
- Building and maintaining enterprise-grade automation with high security, performance, and resiliency
- Demonstrate a strong bias toward delivery, owning outcomes from prototype to production while mentoring and uplifting other developers through best practices and shared tools.
- Performs other duties as assigned.
- Complies with all policies and standards.
Other
- Bachelor's Degree - Required
- Master's Degree - Preferred
- Typically requires five or more years of experience in developing and deploying AI, NLP, or ML software systems - Required
- Strong strategic thinking, leadership, and communication skills
- A can-do attitude, strong communication skills, and a passion for problem-solving are essential
