AI Engineer

Robotics Technologies; New York (NY); On-site; USD 90,000 - 128,000; Full time

Job summary

Robotics Technologies in Manhattan, NY is seeking an AI Engineer to lead discovery discussions with business stakeholders and translate requirements into scalable Python-based AI systems. The role focuses on delivering agentic and LLM-enabled applications, integrating across enterprise data and cloud services on an onsite basis.

The ideal candidate will have strong Python experience, familiarity with OpenAI or Claude Agent SDKs, and a solid background in prompt engineering, data-driven design,

Qualifications

• Bachelor's degree or equivalent practical experience.
• Strong hands-on Python and software engineering.
• Experience building Python apps with OpenAI/Claude Agent SDK and other agentic APIs.
• Deep knowledge of prompt engineering (design, testing, grounding, context, validation).
• Experience building AI/data-driven apps connecting to APIs, databases, cloud services, enterprise data.
• Ability to translate business problems into technical solutions and lead discovery.
• Strong communication to explain AI concepts in business terms.
• Experience in agile environments turning prototypes into production-ready solutions.

Responsibilities

• Lead discovery discussions with business stakeholders.
• Build AI and data-driven applications that connect to APIs, databases, cloud services, and enterprise data sources.
• Apply prompt engineering across the full lifecycle, including prompt design, prompt testing, grounding, context management, and output validation.

Skills

Python

Prompt engineering

API integration

Communication

Agile development

Data-driven applications

Education

Bachelor's degree in computer science or related field

Tools

OpenAI API

Claude Agent SDK

LLM frameworks

Job description

This AI Engineer role is based in Manhattan, NY onsite and is structured as a 24-month engagement with the possibility of extension. The position focuses on delivering Python-based agentic and LLM applications, combining prompt engineering with integration across enterprise data and cloud services.

Key Responsibilities

• Work directly with business stakeholders to lead discovery discussions, clarify ambiguous requirements, and translate business problems into technical solutions.
• Build AI and data-driven applications that connect to APIs, databases, cloud services, and enterprise data sources.
• Apply prompt engineering across the full lifecycle, including prompt design, prompt testing, grounding, context management, and output validation.

Required Qualifications

• Bachelor’s degree in computer science, Engineering, Mathematics, Finance, or a related field, or equivalent practical experience.
• Strong hands-on experience with Python and modern software engineering practices.
• Practical experience building applications using Python, OpenAI or Claude Agent SDK, and other agentic frameworks (comparable LLM APIs).
• Strong understanding of prompt engineering, including prompt design, prompt testing, grounding, context management, and output validation.
• Experience building AI or data-driven applications that use APIs, databases, cloud services, and enterprise data sources.
• Ability to partner with business stakeholders, lead discovery, clarify ambiguous requirements, and convert business problems into technical solutions.
• Strong communication skills with the ability to explain AI concepts, risks, and design choices in clear business language.
• Experience working in agile, fast-moving environments where prototypes must evolve into production-ready solutions.

Preferred Qualifications

• Financial-services experience, ideally in capital markets, Fixed Income, trading, sales, risk, operations, or banking technology.
• Familiarity with Fixed Income products, including rates, credit, securitized products, municipals, FX, or derivatives.
• Experience with retrieval-augmented generation, vector databases, embeddings, semantic search, and document intelligence.
• Experience designing AI evaluation frameworks, including test datasets, quality metrics, human review loops, and model performance monitoring.
• Familiarity with enterprise AI governance, model risk management, compliance review, data privacy, and regulatory expectations in financial services.
• Experience in forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery roles.
• Exposure to cloud platforms, secure APIs, authentication/authorization, and enterprise integration patterns.

Technologies

• Python
• OpenAI
• Claude Agent SDK

Location and Term

Location: Manhattan, NY (onsite)

Term: 24 months with an extension possible

Compensation

Salary: USD 79 per hour

Education

Bachelor’s degree in computer science, Engineering, Mathematics, Finance, or a related field.