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EI

AI Engineer/Developer

Expert In Recruitment Solutions
๐Ÿ‡บ๐Ÿ‡ธ United States
On-site
3 months ago
  • Python
  • AI
  • AI/ML
  • Jupyter
  • Pandas
  • NumPy
  • LangChain
  • AWS
  • Azure OpenAI
  • Microservices
  • Azure
  • GCP
  • RAG
  • Snowflake
  • Databricks
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Python Developer/AI Engineer/Capital Markets/Trading
RequiredCandidateLocation:Hybrid/ NYC 3 days a week -NO RELOCATION**** CANDIDATES MUST HAVE RECENT LOCAL PROJECTS IN THE NY/NJ AREA.
Type ofInterview Required:Video


***Experience required on a resume and for submittal:

1. How many years working with:AI Engineer
2. How many years working with:Python
3. How many years working with: AI/ML or LLM-based applications and prototypes
4. How many years working with:Capital Markets/Trading
5.How many years working with: Jupyter, Pandas, NumPy, LangChain, and cloud AI services (AWS/Azure/OpenAI)

Job Description:
Seeking ahands-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 bridgefinancial 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 developAI/ML prototypes using Python to support investment research, portfolio analytics, and trading insights
  • Build and testLLM-based and data-driven use cases (e.g., research summarization, signal generation, document analysis, automation)
  • Work closely withinvestment professionals, research teams, and data engineers to translate business needs into functional AI solutions
  • Develop and integratedata pipelines, APIs, and analytical models to support rapid experimentation
  • Leverage tools such asJupyter, Pandas, NumPy, LangChain, and cloud AI services (AWS/Azure/OpenAI)
  • Performdata exploration, feature engineering, and model validation on financial datasets
  • Iterate quickly on prototypes, incorporating feedback to refine models and outputs
  • Ensure solutions considerdata security, governance, and compliance within a financial services environment

Required Qualifications
  • 10+ years of experience inPython development with strong hands-on coding ability
  • Experience buildingAI/ML or LLM-based applications and prototypes
  • Exposure tofinancial services, asset management, trading, or investment research
  • Strong experience withdata analysis libraries (Pandas, NumPy) and working with structured/unstructured data
  • Familiarity withAPIs, microservices, and cloud platforms (AWS, Azure, or GCP)
  • Ability to work in afast-paced, iterative environment with direct interaction with business stakeholders
Preferred Qualifications
  • Experience withLLM frameworks (LangChain, RAG architectures, vector databases)
  • Knowledge offinancial data sets, market data, or portfolio analytics
  • Experience prototyping tools forquant research, credit analysis, or trading workflows
  • Familiarity withSnowflake, Databricks, or modern data platforms

What Success Looks Like
  • Rapid delivery ofhigh-impact AI prototypes that demonstrate clear business value
  • Strong collaboration with front-office teams tosolve real investment and research problems
  • Ability to evolve prototypes into scalable solutions in partnership with engineering teams

AI Engineer/Developer ยท Expert In Recruitment Solutions

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