Research, design, and build AI/ML prototypes that enhance product functionality or internal efficiency
Experiment with large language models (LLMs), vector databases, and RAG pipelines
Develop and test algorithms for prediction, optimization, and intelligent automation
Evaluate and integrate APIs and SDKs from Azure AI, OpenAI, and other emerging AI platforms
Work with product teams to define viable use cases and success metrics for AI features
Partner with DevOps and data engineering teams to scale prototypes into production-ready components
Document and share technical approaches for reusability across projects

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
4–8+ years of experience in software engineering or ML development (Python preferred)
Proficiency with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Experience designing, deploying, and maintaining AI systems end-to-end, including RAG pipelines, fine-tuned LLMs, and cloud deployment on AWS or Azure (Azure OpenAI, Amazon Bedrock, SageMaker JumpStart)
Familiarity with prompt engineering, embeddings, and vector search
Strong analytical and problem-solving skills with an experimental mindset
Excellent communication and collaboration skills across technical and business domains.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI prototypesML prototypeslarge language modelsvector databasesRAG pipelinesalgorithmsPythonML frameworksPyTorchTensorFlow

Soft Skills

analytical skillsproblem-solving skillsexperimental mindsetcommunication skillscollaboration skills

Certifications

Bachelor’s degreeMaster’s degree