Artificial Intelligence Engineer

Connections of New York; New York (NY); On-site; USD 160,000 - 220,000; Full time

Job summary

Connections of New York seeks an AI / ML Engineer to enhance their primary AI platform. The role involves leading projects on large language models, designing multimodal systems, and collaborating across teams. Ideal candidates have strong Python skills and experience in deploying machine learning models.

Benefits

Stock options

Qualifications

• 2+ years of experience deploying machine learning models in production.
• Proven expertise with embedding models and semantic retrieval systems.
• Strong Python proficiency with knowledge of AI frameworks.

Responsibilities

• Lead projects focused on integrating and optimizing large language models.
• Design and deploy multimodal retrieval systems for financial data.
• Collaborate with teams to drive AI capabilities and improve outputs.

Skills

Python

Machine Learning

AI Integration

Communication

Tools

Hugging Face

PyTorch

TensorFlow

LangChain

Job description

Connections of New York provided pay range

This range is provided by Connections of New York. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00/yr - $220,000.00/yr

Additional compensation types

Stock options

Direct message the job poster from Connections of New York

As a AI / ML Engineer play an important role in advancing our primary AI platform.

• Lead projects focused on integrating and optimizing large language models (LLMs), embedding models, and semantic retrieval systems within our products.
• Design, build, and deploy sophisticated multimodal retrieval and agentic systems that deliver powerful insights from unstructured and structured financial data sources.
• Drive the next generation of agentic capabilities within our platform, with a focus on composability, advanced function calling, and modular AI orchestration techniques.
• Continuously refine our retrieval methodologies and AI outputs by actively leveraging customer feedback, ensuring high accuracy and relevance.
• Explore innovative approaches and rapidly prototype new AI-driven features, directly impacting our client’s workflows.
• Collaborate closely with engineering, product, and customer-facing teams, communicating ideas clearly and effectively to achieve business outcomes.

Desired Qualifications

• 2+ years of experience deploying machine learning models in production.
• Demonstrated experience integrating closed-source LLM APIs and fine-tuning open-source models
• Proven expertise with embedding models and semantic retrieval systems such as Pinecone, Weaviate, FAISS, Chroma, PGVector, etc.
• Experience developing multimodal retrieval solutions that integrate diverse data types, including textual, numerical, and structured data.
• Strong Python proficiency, including practical knowledge of frameworks like Hugging Face, PyTorch, TensorFlow, or LangChain.
• Passion for staying current with cutting-edge AI research, tools, and industry trends.
• Ability to thrive in ambiguous environments, independently scoping and executing projects end-to-end.
• Excellent communication skills, fostering effective collaboration across technical and business teams.

Additional Qualifications

• Prior experience building or optimizing AI agentic systems leveraging function-calling, orchestration frameworks, and modular architectures.
• Deep familiarity with financial data retrieval challenges and techniques
• Demonstrated experience in performance tuning, scalability improvements, and reliability engineering for AI-driven retrieval systems.
• Entrepreneurial mindset or previous experience working in a high-growth startup environment.
• Knowledge of or interest in free-form generative AI capabilities and their application within complex business scenarios.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Finance

• Industries

  Staffing and Recruiting

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