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Associate, AI Engineer (Investment Management)
Social Capital Resources
2 hours ago
Full-time
On-site
East New York, New York, United States
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.
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.