Software Engineer

The Skills that are Key to this role
Technical / Behavioral
• Experience in coding in Python.
• Experience on building Agentic solutions using Python or some framework.
• knowledge of prompt engineering, context engineering, harness engineering and loop engineering.
• practical knowledge on building complex agentic workflow pipelines.
• Working experience of training and building models models on AWS services or other cloud.
• Familiarity with AI/ML libraries.
• Building quick protype using Streamlit or Gradio
• Knowledge of Docker and AWS container orchestration is plus.
• Experience with MLOps.
• Direct experience in Agile, SCRUM, git, JIRA etc.

The Skills that are Good To Have for this role
• Building robust application using python.
• You should have an experience in Machine Learning Engineering.
• Effective communication, able to work with teams, presentation skills - required for the role.
How Your Work Impacts the Organization
The Team

We are Fidelity Labs, Fidelity Investments in-house fintech incubator with a mission to build new businesses to drive growth for Fidelity. We seek to craft the future of our industry by building new products and services to improve the lives of the diverse set of customers, businesses and financial institutions we serve. Fidelity Labs is a dynamic workplace that combines the best parts of startup life—building from scratch, adapting quickly, and moon-shot ambition—with the scale and stability of an industry leader. We provide a safe space for startup teams to explore new business ideas, quickly test them with customers, and scale the most promising concepts within an existing business unit, or as a new venture. Learn more at https://labs.fidelity.com/ .

The Expertise We’re Looking For
• BE in Comp Science, Post-graduate degree, Phd or degree with equivalent experience working as a key contributor in a data science team
• You will apply your data science and data wrangling skills to improve image related products.
• Experience with NLP, VAE, Diffusion is good.