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
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Collaborate with business users and cross-functional teams to understand processes, identify opportunities, and translate requirements into technical solutions.
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Design, develop, and deploy Generative AI applications using Python, LLM APIs, agent frameworks, retrieval-augmented generation (RAG), and workflow orchestration technologies.
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Build AI-powered solutions for knowledge retrieval, workflow automation, document analysis, reporting, and decision-support use cases.
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Develop and maintain data retrieval pipelines across structured and unstructured enterprise data sources.
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Apply prompt engineering and context management techniques to improve model performance, reliability, and user adoption.
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Create evaluation frameworks to assess output quality, accuracy, relevance, and compliance requirements.
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Ensure solutions align with enterprise standards for security, privacy, governance, and auditability.
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Communicate technical concepts, trade-offs, and implementation strategies to both technical and non-technical stakeholders.
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Support continuous improvement through user feedback, testing, monitoring, and iterative enhancements.
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Identify reusable components and best practices that can scale across multiple business initiatives.
Required Qualifications
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Bachelor's degree in Computer Science, Engineering, Mathematics, Finance, or a related field, or equivalent practical experience.
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Strong hands-on software development experience with Python.
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Experience building and deploying applications using Generative AI technologies, LLM APIs, agent frameworks, and related AI development tools.
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Knowledge of prompt engineering, grounding techniques, context management, testing, and output validation.
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Experience working with APIs, databases, cloud services, and enterprise data platforms.
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Proven ability to gather requirements, solve complex business problems, and deliver practical technical solutions.
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Strong communication and stakeholder management skills.
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Experience working in Agile development environments and delivering solutions from proof of concept to production.
Preferred Qualifications
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Experience within financial services, capital markets, trading, risk, operations, or banking technology environments.
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Familiarity with fixed income products and related business processes.
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Hands-on experience with:
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Retrieval-Augmented Generation (RAG)
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Vector databases
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Embeddings
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Semantic search
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Document intelligence solutions
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Knowledge of AI governance, model risk management, data privacy, and compliance frameworks.
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Experience developing AI evaluation methodologies, quality metrics, and performance monitoring processes.
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Background in client-facing engineering, consulting, technical delivery, solution engineering, or forward-deployed engineering roles.
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Exposure to cloud platforms, secure APIs, authentication, authorization, and enterprise integration patterns.
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