Application Development IV (Forward Deployed AI Engineer)

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Application Development IV (Forward Deployed AI Engineer)

Location: New York, NY (Onsite)



Employment Type: Contract

About Us

STAFFXPERT LLC is a trusted technology staffing and workforce solutions partner, connecting top talent with leading organizations across financial services, technology, healthcare, and other high-growth industries. We specialize in matching skilled professionals with opportunities that drive innovation, business transformation, and long-term success.

Job Summary

STAFFXPERT LLC is seeking a Forward Deployed AI Engineer on behalf of our client in New York, NY. This role is ideal for a hands-on software engineer with expertise in Generative AI, large language models (LLMs), and enterprise application development. The successful candidate will work closely with business stakeholders and technical teams to identify high-impact opportunities, design AI-powered solutions, and deliver production-ready applications that enhance business workflows and operational efficiency.

Key Responsibilities

• Collaborate with business users and cross-functional teams to understand processes, identify opportunities, and translate requirements into technical solutions.

• Design, develop, and deploy Generative AI applications using Python, LLM APIs, agent frameworks, retrieval-augmented generation (RAG), and workflow orchestration technologies.

• Build AI-powered solutions for knowledge retrieval, workflow automation, document analysis, reporting, and decision-support use cases.

• Develop and maintain data retrieval pipelines across structured and unstructured enterprise data sources.

• Apply prompt engineering and context management techniques to improve model performance, reliability, and user adoption.

• Create evaluation frameworks to assess output quality, accuracy, relevance, and compliance requirements.

• Ensure solutions align with enterprise standards for security, privacy, governance, and auditability.

• Communicate technical concepts, trade-offs, and implementation strategies to both technical and non-technical stakeholders.

• Support continuous improvement through user feedback, testing, monitoring, and iterative enhancements.

• Identify reusable components and best practices that can scale across multiple business initiatives.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field, or equivalent practical experience.

• Strong hands-on software development experience with Python .

• Experience building and deploying applications using Generative AI technologies, LLM APIs, agent frameworks, and related AI development tools.

• Knowledge of prompt engineering, grounding techniques, context management, testing, and output validation.

• Experience working with APIs, databases, cloud services, and enterprise data platforms.

• Proven ability to gather requirements, solve complex business problems, and deliver practical technical solutions.

• Strong communication and stakeholder management skills.

• Experience working in Agile development environments and delivering solutions from proof of concept to production.

Preferred Qualifications

• Experience within financial services, capital markets, trading, risk, operations, or banking technology environments.

• Familiarity with fixed income products and related business processes.

• Hands-on experience with:

  • Retrieval-Augmented Generation (RAG)

  • Vector databases

  • Embeddings

  • Semantic search

  • Document intelligence solutions

• Knowledge of AI governance, model risk management, data privacy, and compliance frameworks.

• Experience developing AI evaluation methodologies, quality metrics, and performance monitoring processes.

• Background in client-facing engineering, consulting, technical delivery, solution engineering, or forward-deployed engineering roles.

• Exposure to cloud platforms, secure APIs, authentication, authorization, and enterprise integration patterns.