Applied AI Engineer – Agentic Systems – Senior Associate

Overview

In this role you will design, build, and deploy autonomous and assistive AI agents to streamline complex workflows within a leading financial services firm. You’ll shape multi-agent systems that collaborate with cross-functional partners to deliver scalable, reliable AI solutions with measurable business impact. You join a team focused on innovation, learning, and responsible AI as you scale agentic capabilities. This is your opportunity to influence how AI-driven operations transform finance workflows at scale.

Pay / Benefits

• competitive salary and benefits package
• opportunities for professional growth
• collaborative, innovative environment
• responsible AI focus
• impactful projects in finance
• global team and inclusion programs

Responsibilities

• Architect, develop, and productionize autonomous and assistive AI agents to enhance operations
• Design multi-agent systems with role definition, tool integration, planning, memory, and workflow orchestration
• Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases
• Build and integrate agent tools and APIs to connect agents with external services and internal systems, with robust output parsing and error handling
• Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations
• Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops
• Partner with stakeholders to define requirements, design human-AI interfaces, and deliver measurable business impact
• Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations
• Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices

Key requirements

• Advanced degree in Computer Science, Data Science, Machine Learning, or related field
• Experience building and deploying agentic AI applications in production environments
• Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn
• Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts
• Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph
• Knowledge of generative models including transformers, GANs, VAEs, and diffusion models
• Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques
• Familiarity with cloud platforms and containerization technologies
• Strong problem-solving skills and ability to work independently and collaboratively
• Effective communication skills for technical and non-technical audiences

• strong collaboration across teams
• clear communication to diverse audiences
• problem-solving and independent working style
• LangChain
• CrewAI
• AutoGen

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