AI Solutions Developer - New York - Aegistech

    Aegistech
    Aegistech New York

    1 week ago

    Description
    Job Description:
    Our financial services client is seeking an AI Solutions developer well versed in Java and Python. This is a consulting position and will require to be onsite in mid-town NYC 3 days a week. No relocation candidates - local NY Metro candidates only.
    Job Title:
    Senior AI Solutions Developer - Java & Python
    Department Overview
    The Information Technology department is leading the charge in digital transformation, leveraging artificial intelligence, machine learning, and next-generation software development practices to drive innovation and enhance client experiences. Our mission is to build secure, scalable, and intelligent systems that support our evolving business needs. We foster a collaborative, agile environment that values innovation, continuous learning, and the integration of cutting-edge technologies.
    Role Overview
    We are seeking a hands-on Senior AI Solutions Developer to join our Reference Data team, with a focus on designing and delivering next-generation client and account onboarding systems, powered by AI-driven automation. This role requires a strong background in Java and Python development, experience with large language models (LLMs), and a deep understanding of how to integrate AI/ML technologies into enterprise applications.
    The ideal candidate has at least 10 years of software engineering experience and a proven track record in building scalable, AI-enhanced systems within complex environments.
    Key Responsibilities
    • Architect, develop, and deploy intelligent systems using Java, Python, and modern AI/ML frameworks.
    • Design and implement AI-powered automation workflows for client onboarding and SSI reference data management.
    • Integrate LLM APIs (e.g., OpenAI, Anthropic) into existing enterprise systems.
    • Build and maintain microservices, REST APIs, and cloud-native applications.
    • Leverage vector databases, embedding models, and RAG (Retrieval Augmented Generation) for data enrichment and contextual AI experiences.
    • Collaborate with data scientists and infrastructure teams to deploy and monitor AI/ML models.
    • Participate in AI solution design, from prompt engineering to AI agent orchestration and workflow automation.
    • Lead initiatives for AI model fine-tuning, optimization, and safe, responsible AI practices.
    • Mentor junior developers and guide teams in adopting AI-first architectural patterns.
    Required Skills and Experience
    • 10+ years of software development experience with strong expertise in:
      • Core Java , including multithreaded programming and microservices architecture
      • Python , especially in AI/ML application development
    • Proficiency with:
      • Spring Boot, ORM frameworks, JUnit
      • Sybase, SQL Server, or similar RDBMS
      • Maven, Jenkins, CI/CD pipelines
      • Docker, Kubernetes, and containerized deployments
      • Cloud-native app design (AWS, Azure, or GCP preferred)
    • Experience with Large Language Models (LLMs) and their APIs (e.g., OpenAI, Hugging Face)
    • Strong understanding of:
      • Prompt engineering and AI best practices
      • AI orchestration frameworks and agent-based systems
      • Vector databases and embeddings
      • Retrieval Augmented Generation (RAG) workflows
    • Familiarity with AI/ML model deployment, monitoring, and governance
    • Experience building AI-powered workflow automation tools
    • UI experience using Angular or React is a plus
    Preferred Knowledge
    • Understanding of client onboarding lifecycle and reference data systems
    • Familiarity with data relationships, entity design, and domain modeling
    • Awareness of AI ethics, responsible AI principles, and compliance risks
    • Prior experience working in financial services or regulated industries is a plus
    Organizational & Soft Skills
    • Strong ownership mindset and commitment to quality
    • Excellent communication and collaboration skills
    • Proven leadership experience in global and distributed teams
    • Passion for innovation and continuous improvement
    • Ability to evaluate and integrate new AI technologies in real-world systems

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