AI Engineer - Capital Markets / LLM

AI Engineer/Developer

Required Candidate Location: Hybrid/ NYC 3 days a week - NO RELOCATION

Contract Duration: 12+Months

Type of Interview Required: Video

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. Candidates must have recent experience building AI/ML or LLM-based applications and prototypes and have solid experience with financial services, asset management, trading, or investment research. Strong experience with data analysis libraries (Pandas, NumPy) and working with structured/unstructured data and Familiarity with APIs, microservices, and cloud platforms (AWS, Azure, or Google Cloud Platform). THIS IS ALL ABOUT CREATING PROTOTYPES.

All submittals must Include:

1. Driver s license or State ID
2. Link to the candidates LinkedIn account.

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 Google Cloud Platform)
• 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