AI Engineer

• Job ID:

J54565

• Job Title:

AI Engineer

• Location:

Manhattan, NY

• Duration:

24 Months + Extension

• Domain Exposure:

Material

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

• Work Authorization:

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Engineer

Location: Manhattan, NY

Duration: 24 Months + Extension

Bill Rate: $79/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

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 work directly with business stakeholders, lead discovery discussions, clarify ambiguous requirements, and convert business problems into technical solutions.
• Strong communication skills and the ability to explain AI concepts, risks, and design choices in clear business language.
• Experience working in agile, fast-moving environments where prototypes must quickly evolve into production-ready solutions.

Preferred qualifications:

• Financial-services experience, ideally within capital markets, Fixed Income, trading, sales, risk, operations, or banking technology.
• Familiarity with Fixed Income products such as 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 a forward-deployed, consulting, client engineering, post-sales engineering, or technical delivery role.
• Exposure to cloud platforms, secure APIs, authentication/authorisation, and enterprise integration patterns.

Equal Opportunity

Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.

We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.