AI Engineer

Skysoft Inc
New York, NY, United States
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Shift work
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Computer Programming Databases Python (Programming Language) Machine Learning Node.Js OpenAI Software Engineering Systems Integration TypeScript
+17 more
Enterprise Software Applications Power Platform Integration ReactJS Retrieval-Augmented Generation Large Language Models Claude Code Prompt Engineering Generative AI Backend Agentic-AI Enterprise Integration Claude Evaluation of Large Language Models Restful APIs Network Server GPT Api Management

Job description

Design and develop enterprise AI applications using Anthropic Claude models and APIs.

Build custom Claude Artifacts, including interactive applications, dashboards, and business workflow tools.

Create and maintain custom Claude Skills to extend AI capabilities for specialized business processes.

Develop MCP servers and clients to connect Claude with enterprise applications, APIs, databases, and internal tools.

Build custom integrations, plugins, and reusable tools for Claude-powered applications.

Develop agentic AI workflows involving reasoning, planning, tool execution, and multi-step automation.

Implement prompt engineering, context management, tool calling, and structured outputs.

Integrate Claude with enterprise data sources and financial applications.

Implement security, access controls, guardrails, and human-in-the-loop approval mechanisms.

Collaborate with business and technology teams to deliver production-ready AI solutions.

Requirements

We are looking for a highly skilled Senior Claude AI Engineer with strong hands-on experience building enterprise AI solutions using Anthropic’s Claude ecosystem.

The candidate will be responsible for developing custom Claude Artifacts, Skills, MCP integrations, plugins, and AI-powered agents to support enterprise business workflows within a capital markets environment.

This is a hands-on engineering role requiring the ability to independently design, develop, integrate, and deploy Claude-based solutions., Anthropic Claude: Hands-on experience with Claude models, APIs, Claude Code, and enterprise Claude application development.

Claude Artifacts: Experience developing custom interactive Artifacts and applications.

Claude Skills: Experience creating custom Skills, reusable instructions, workflows, and supporting resources.

MCP: Strong hands-on experience developing MCP servers, clients, tools, and enterprise integrations.

Plugins & Integrations: Experience building custom connectors, plugins, API integrations, and tool integrations.

Agentic AI: Experience developing AI agents, tool orchestration, and multi-step autonomous workflows.

Programming: Strong Python and JavaScript/TypeScript development skills.

Frameworks: Experience with React, Node.js, REST APIs, and backend application development.

LLM Engineering: Strong understanding of prompt engineering, RAG, embeddings, context management, and LLM evaluation.

Preferred Experience

Previous experience with investment banks, broker-dealers, asset managers, or capital markets clients.

Understanding of financial services workflows, financial data, and enterprise security requirements.

Experience deploying enterprise-grade Generative AI applications in production.

Candidate Requirements

Must be a hands-on engineer with demonstrable experience building solutions using Anthropic Claude.

Must have practical experience with Claude Skills, Artifacts, and MCP integrations.

Must be capable of independently developing and delivering enterprise AI solutions.

Excellent communication and collaboration skills.

Must be available to work onsite in NYC five days per week.

Important Screening Criteria

Candidates must have actual implementation experience in the Claude ecosystem. General experience with ChatGPT, OpenAI APIs, traditional machine learning, or basic prompt engineering alone will not be sufficient.

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