AI Engineer: Build Production-Ready AI Apps & APIs

Valiant Technologies LLC

New York (NY)

On-site

USD 120,000 - 180,000

Full time

2 days ago
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Job summary

Valiant Technologies LLC is seeking a skilled Python-focused AI engineer to design and implement data-driven applications using cutting-edge agent frameworks. You will translate business problems into technical solutions, collaborate with stakeholders, and push prototypes toward production in a fast-moving environment.

Candidates should demonstrate strong prompt engineering, API integration, and experience with cloud services, databases, and enterprise data sources.

Qualifications

  • Bachelor's degree in computer science, engineering, mathematics, finance, or related field, or equivalent practical experience.
  • Hands-on experience with Python and modern software engineering practices.
  • Experience building applications using Python with OpenAI or Claude Agent SDK and other agentic frameworks.
  • Strong prompt engineering skills including design, testing, grounding, context management, and output validation.
  • Experience building AI or data-driven apps 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 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.

Skills

Python
Prompt engineering
APIs
Agile collaboration

Education

Bachelor's degree in CS or related field

Tools

OpenAI API
Claude API
LLM SDKs
Vector databases
Embeddings

Job description

Valiant Technologies LLC is seeking a skilled Python-focused AI engineer to design and implement data-driven applications using cutting-edge agent frameworks. You will translate business problems into technical solutions, collaborate with stakeholders, and push prototypes toward production in a fast-moving environment.

Candidates should demonstrate strong prompt engineering, API integration, and experience with cloud services, databases, and enterprise data sources.

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