Netrolynx AI
Ai Engineer
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About The Company
J.P. Morgan is a renowned global financial services firm that offers a wide range of banking, investment, and asset management services to a diverse client base, including corporations, governments, and high-net-worth individuals. With a rich history of innovation and leadership, J.P. Morgan is committed to delivering strategic advice, innovative solutions, and exceptional service to help clients achieve their financial objectives. The company emphasizes building long-term, trusted partnerships and fostering a culture of integrity, excellence, and inclusion. Recognized as a leader in the financial industry, J.P. Morgan continually invests in technology and talent to stay at the forefront of market developments and emerging trends.
About The Role
We are seeking an experienced AI Engineer to join our Agentic AI Solutions team at J.P. Morgan. This role offers an exciting opportunity to be at the forefront of AI-driven innovation within the financial services sector. As an AI Engineer, you will be responsible for designing, developing, and deploying autonomous and assistive AI agents that optimize and streamline complex business workflows. Your work will involve building scalable, reliable, and safe multi-agent systems that transform operational efficiency and enhance decision-making processes. Collaboration with cross-functional teams—including data scientists, software engineers, and business stakeholders—is essential to translate operational needs into cutting-edge AI solutions. This position provides a platform for professional growth, technical mastery, and meaningful impact within a globally recognized financial institution.
Qualifications
The ideal candidate will possess an advanced degree in Computer Science, Data Science, Machine Learning, or a related field, coupled with substantial experience in building and deploying agentic AI applications in production environments. Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn is essential. Proficiency in Python programming, including writing comprehensive tests and developing evaluation frameworks for AI agents and prompts, is required. Hands-on experience with agent frameworks like LangChain, CrewAI, AutoGen, or LangGraph is highly desirable. A strong understanding of generative models—including transformers, GANs, VAEs, and diffusion models—is necessary. Additionally, familiarity with data preprocessing, feature engineering, cloud platforms, containerization technologies, and microservices architecture will set candidates apart. Effective communication skills and the ability to work independently and collaboratively are vital for success in this role.
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Responsibilities
- Architect, develop, and deploy autonomous and assistive AI agents aimed at improving operational workflows and business efficiency.
- Design multi-agent systems, including defining roles, integrating tools, planning, managing memory, and orchestrating workflows using modern agent frameworks.
- Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search capabilities utilizing vector databases, including indexing, retrieval policies, and evaluation metrics.
- Build and integrate agent tools and APIs to connect AI agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.
- Practice advanced prompt engineering techniques, implementing output validation and guardrails to minimize hallucinations and ensure reliability.
- Design microservices-based architectures and orchestrate complex multi-step workflows, incorporating tracing, metrics, and feedback loops for continuous improvement.
- Collaborate with stakeholders to gather requirements, design user-friendly human-AI interfaces, and deliver solutions that generate measurable business value.
- Analyze data to enhance agent capabilities, optimize retrieval processes, and support data-driven decision-making through A/B testing and performance evaluations.
- Mentor team members on best practices for agent frameworks, large language model (LLM) usage, safety protocols, and development methodologies.
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Benefits
Joining J.P. Morgan offers a competitive salary and comprehensive benefits package, including health insurance, retirement plans, and wellness programs. Employees have access to ongoing professional development opportunities, including training, certifications, and mentorship programs, fostering continuous growth. The company promotes a collaborative and innovative work environment that encourages creativity, diversity, and inclusion. Employees are empowered to contribute to impactful projects that shape the future of finance through technology and AI. J.P. Morgan also provides flexible work arrangements and resources to support work-life balance, ensuring a supportive atmosphere for all team members.
Equal Opportunity
J.P. Morgan is an equal opportunity employer committed to fostering an inclusive workplace. We value diversity and do not discriminate based on race, religion, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other protected characteristic under applicable law. We strive to create an environment where all employees feel respected, valued, and empowered to succeed. Reasonable accommodations are available for applicants and employees with disabilities or religious practices. For more information on our diversity and inclusion initiatives, please visit our FAQs or contact our HR team.
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