Software Engineer, AI Studio
SpeechifyFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have 3 to 5 years of experience in software development, data engineering, or a related field. Strong expertise in AWS, including S3, Lambda, Glue, and Redshift, is required, with preferred experience in AWS Bedrock (6+ months). Proficiency in Python and SQL is essential, along with knowledge of microservices, APIs, and modern frameworks. Strong teamwork, communication, and problem-solving skills are also necessary.
The Sr. AI Developer will build and optimize an AI chatbot that translates natural language into SQL queries for people analytics. They will develop and maintain data pipelines and cloud infrastructure within AWS, applying generative AI solutions using AWS Bedrock. Responsibilities include collaborating with cross-functional teams to design, test, and deploy tools, while ensuring the quality, security, and performance of all solutions.
Provides life sciences products and services
Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.