Associate, AI Engineer (Investment Management)

Social Capital Resources; New York (NY); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

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

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

LLMs

RAG

SQL

Vector DBs

Data pipelines

Ausbildung

Bachelor's in CS/Engineering

Tools

pgvector

Qdrant

Weaviate

OpenAI API

Anthropic

Azure

Jobbeschreibung

Top‑Tier Investment Management Firm in Midtown, Manhattan is seeking an Associate, AI Engineer for their growing team!

We are seeking a hands‑on AI Engineer to develop and deploy AI‑driven applications for a growing financial services organization. The ideal candidate will have strong Python development skills and experience building production‑ready solutions using large language models (LLMs), retrieval‑augmented generation (RAG), and modern AI technologies.

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.

Qualifications

• 3–5+ years of experience in AI/ML engineering or software development.
• Strong Python programming skills and experience deploying AI applications into production.
• Hands‑on experience with LLMs, RAG, prompt engineering, and AI APIs (OpenAI, Anthropic, or similar).
• Experience with SQL, PostgreSQL, and vector databases such as pgvector, Qdrant, or Weaviate.
• Knowledge of data pipelines, document processing, and structured/unstructured datasets.
• Strong problem‑solving skills and ability to work directly with business stakeholders.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience in financial services, fintech, or investment management.
• Familiarity with Azure, workflow automation, and AI governance.