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Associate, AI Engineer (Investment Management) — Social Capital Resources, New York, NY

ML и AI, AI-инженерия · 04.11.2026

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Компания: Social Capital Resources

Локация: New York, NY

Формат: не указан

Занятость: Полная занятость

Грейд: Middle

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.

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