Python DeveloperAI Engineer

Job Description:

Seeking a hands-on AI Engineer/Developer to rapidly prototype and deliver AI-driven solutions across investment research and trading functions. This role is ideal for someone who can bridge financial domain knowledge with applied AI/ML development building proof-of-concepts that can evolve into production-grade tools supporting investment decision-making.

Key Responsibilities

• Design and develop AI/ML prototypes using Python to support investment research portfolio analytics and trading insights
• Build and test LLM-based and data-driven use cases (e.g. research summarization signal generation document analysis automation)
• Work closely with investment professionals research teams and data engineers to translate business needs into functional AI solutions
• Develop and integrate data pipelines APIs and analytical models to support rapid experimentation
• Leverage tools such as Jupyter Pandas NumPy LangChain and cloud AI services (AWS/Azure/OpenAI)
• Perform data exploration feature engineering and model validation on financial datasets
• Iterate quickly on prototypes incorporating feedback to refine models and outputs
• Ensure solutions consider data security governance and compliance within a financial services environment

Required Qualifications

• 10 years of experience in Python development with strong hands-on coding ability
• Experience building AI/ML or LLM-based applications and prototypes
• Exposure to financial services asset management trading or investment research
• Strong experience with data analysis libraries (Pandas NumPy) and working with structured/unstructured data
• Familiarity with APIs microservices and cloud platforms (AWS Azure or GCP)
• Ability to work in a fast-paced iterative environment with direct interaction with business stakeholders

Preferred Qualifications

• Experience with LLM frameworks (LangChain RAG architectures vector databases)
• Knowledge of financial data sets market data or portfolio analytics
• Experience prototyping tools for quant research credit analysis or trading workflows
• Familiarity with Snowflake Databricks or modern data platforms

What Success Looks Like

• Rapid delivery of high-impact AI prototypes that demonstrate clear business value
• Strong collaboration with front-office teams to solve real investment and research problems
• Ability to evolve prototypes into scalable solutions in partnership with engineering teams