AI Engineer/Developer

Title: AI Engineer/Developer Required Candidate Location: Hybrid/ NYC 3 days a week - NO RELOCATION **** CANDIDATES MUST HAVE RECENT LOCAL PROJECTS IN THE NY/NJ AREA Contract Duration: 6+ months Type of Interview Required: Video Candidate Visa's Accepted : No Opt. NO H1 and NO CPT. Seeking 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 GCP). **** CANDIDATES MUST HAVE RECENT LOCAL PROJECTS IN THE NY/NJ AREA. Candidates must have recent trading/capital markets experience in utilizing AI to improve trading process and results. Excellent communication skills are required. NO RELOCATIO. 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 insightsBuild 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 solutionsDevelop and integrate data pipelines, APIs, and analytical models to support rapid experimentationLeverage tools such as Jupyter, Pandas, NumPy, LangChain, and cloud AI services (AWS/Azure/OpenAI)Perform data exploration, feature engineering, and model validation on financial datasetsIterate quickly on prototypes, incorporating feedback to refine models and outputsEnsure 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 abilityExperience building AI/ML or LLM-based applications and prototypesExposure to financial services, asset management, trading, or investment researchStrong experience with data analysis libraries (Pandas, NumPy) and working with structured/unstructured dataFamiliarity with APIs, microservices, and cloud platforms (AWS, Azure, or GCP)bility 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 analyticsExperience prototyping tools for quant research, credit analysis, or trading workflowsFamiliarity with Snowflake, Databricks, or modern data platforms What Success Looks Like Rapid delivery of high-impact AI prototypes that demonstrate clear business valueStrong collaboration with front-office teams to solve real investment and research problembility to evolve prototypes into scalable solutions in partnership with engineering teams