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The Senior AI Data Engineer (Applications Development Technology Lead Analyst - C13) is a senior-level position responsible for designing, developing, and deploying AI agents capable of understanding goals, planning actions, and executing tasks with minimal human intervention. This role requires a strong understanding of AI principles, agent-based systems, machine learning, and software engineering best practices. The ideal candidate will be able to translate research ideas into robust and scalable production systems. In coordination with the Technology team, this role will also be responsible for establishing and implementing new or revised application systems and programs. The overall objective of this role is to lead applications systems analysis and programming activities.
Job Responsibility:
Design and implement intelligent agents, including their perception, reasoning, planning, and action execution modules
Develop scalable and robust architectures for agentic systems
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models) to enhance agent capabilities
Develop agents that can automate complex tasks, optimize workflows, and solve real-world problems
Utilize and contribute to agentic AI frameworks and development tools
Design and implement metrics and evaluation strategies for agent performance
Stay abreast of the latest advancements in AI
Work closely with cross-functional teams including AI researchers, data scientists, product managers, and software engineers
Create comprehensive technical documentation
Appropriately assess risk when business decisions are made
Requirements:
6+ years of professional experience in software development with a focus on AI, machine learning, or agent-based systems
Strong proficiency in Python, SQL
Solid understanding of core AI concepts, including knowledge representation, automated planning, decision-making under uncertainty, and multi-agent systems
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and relevant libraries (e.g., Scikit-Learn, NumPy, Pandas)
Familiarity with large language models (LLMs) and their application in agentic systems
Familiarity with specific agent frameworks (e.g., LangChain, AutoGen, CrewAI, RAG) or research in multi-agent reinforcement learning
Experience in designing and implementing APIs for AI services
Experience with software development best practices, including version control (Git), CI/CD pipelines, testing, and code reviews
Excellent analytical and problem-solving skills
Strong written and verbal communication skills
Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
Bachelor's degree in computer science, artificial intelligence, robotics, or a related quantitative field, or equivalent experience
Nice to have:
Experience in finance industry a plus
Java is a plus
Master's degree preferred
What we offer:
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Discretionary and formulaic incentive and retention awards
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