Associate AI Engineer: Production‑Ready ML for Finance

Social Capital Resources; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Social Capital Resources is recruiting an Associate AI Engineer for a top-tier investment management firm in Midtown Manhattan. You will design, build, and deploy AI-powered applications that enhance research, data analysis, and business processes.

The role focuses on LLMs, RAG, semantic search, embeddings, and data pipelines, with production-grade Python apps integrated into internal systems. You’ll collaborate with stakeholders to deliver practical AI solutions in a fast-paced financial

Qualifications

• 3–5+ years in AI/ML engineering or software development.
• Strong Python and production AI deployment experience.
• Hands-on with LLMs, RAG, and AI APIs (OpenAI, Anthropic).
• Experience with SQL/PostgreSQL and vector databases.
• Familiarity with data pipelines and document processing.
• Bachelor's degree in CS/Engineering.
• Experience in financial services, fintech, or investment management.

Responsibilities

• Design, build, and deploy AI applications that improve business processes, research, and data analysis.
• Develop generative AI tools utilizing LLMs, RAG, semantic search, and document processing.
• Build scalable Python applications and integrate AI solutions with internal systems and databases.
• Implement and optimize embeddings, vector databases, and data pipelines.
• Collaborate with business stakeholders to identify opportunities and deliver practical AI solutions.
• Ensure applications meet performance, security, and reliability standards.

Skills

Python

LLMs

RAG

SQL

Vector DBs

Data pipelines

Education

Bachelor's in CS/Engineering

Tools

pgvector

Qdrant

Weaviate

OpenAI API

Anthropic

Azure

Job description

Social Capital Resources is recruiting an Associate AI Engineer for a top-tier investment management firm in Midtown Manhattan. You will design, build, and deploy AI-powered applications that enhance research, data analysis, and business processes.

The role focuses on LLMs, RAG, semantic search, embeddings, and data pipelines, with production-grade Python apps integrated into internal systems. You’ll collaborate with stakeholders to deliver practical AI solutions in a fast-paced financial