Software Engineer [Multiple Positions Available]

JPMorgan Chase & Co.•New York, NY

10h•Onsite

About The Position

Duties: Design, develop, and implement conversational AI solutions. Collaborate with product managers, UX/UI designers, and other stakeholders to define conversational flows and user experiences. Integrate conversational agents with various platforms and services, ensuring seamless functionality and performance. Improve the conversational AI flow based on user feedback and interaction data. Develop and maintain documentation for conversational Al systems, including design specifications, user guides, and technical manuals. Troubleshoot and resolve issues related to conversational Al applications, ensuring high availability and reliability. Participate in code reviews and contribute to the development of best practices for conversational AI development. QUALIFICATIONS: Minimum education and experience required: Master's degree in Engineering Science, Information Technology, or related field of study plus 3 years of experience in the job offered or as Software Engineer, Conversational Bot Engineer, Application Developer, or related occupation. The employer will alternatively accept a Bachelor's degree in Engineering Science, Information Technology, or related field of study plus 5 years of experience in the job offered or as Software Engineer, Conversational Bot Engineer, Application Developer, or related occupation. Skills Required: This position requires three (3) years of experience with the following: Designing, developing, and deploying conversational agents including chatbots; Developing, testing, and maintaining conversation AI flows using Python; Monitoring data using Splunk; Deploying applications using AWS or Cloud Foundry; Developing APIs and integrating NLP or LLM models into software applications; Developing back-end architecture using tools such as IntelliJ and REST APIs; Designing and building conversational Al systems using tools such as VoiceFlow and Confluence; Developing and coding software applications and technical processes using conversational Al platforms and cloud services. This position requires two (2) years of experience with the following: Building APIs that connect with back-end systems using Rest APIs and microservices. This position requires one (1) year of experience with the following: Developing conversational AI applications using Google DialogFlow or Rasa; Hosting and deploying conversational AI code with at least two of the following platforms: AWS Cloud, Google Cloud Platform (GCP), Cloud Foundry, Dockers, or Kubernetes. Job Location: 450 W 33rd Street, New York, NY 10001. Full-Time. Salary: $153,600.00-$185,000.00 per year. Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Requirements

Master's degree in Engineering Science, Information Technology, or related field of study plus 3 years of experience in the job offered or as Software Engineer, Conversational Bot Engineer, Application Developer, or related occupation. The employer will alternatively accept a Bachelor's degree in Engineering Science, Information Technology, or related field of study plus 5 years of experience in the job offered or as Software Engineer, Conversational Bot Engineer, Application Developer, or related occupation.
Designing, developing, and deploying conversational agents including chatbots
Developing, testing, and maintaining conversation AI flows using Python
Monitoring data using Splunk
Deploying applications using AWS or Cloud Foundry
Developing APIs and integrating NLP or LLM models into software applications
Developing back-end architecture using tools such as IntelliJ and REST APIs
Designing and building conversational Al systems using tools such as VoiceFlow and Confluence
Developing and coding software applications and technical processes using conversational Al platforms and cloud services.
Building APIs that connect with back-end systems using Rest APIs and microservices.
Developing conversational AI applications using Google DialogFlow or Rasa
Hosting and deploying conversational AI code with at least two of the following platforms: AWS Cloud, Google Cloud Platform (GCP), Cloud Foundry, Dockers, or Kubernetes.

Responsibilities

Design, develop, and implement conversational AI solutions.
Collaborate with product managers, UX/UI designers, and other stakeholders to define conversational flows and user experiences.
Integrate conversational agents with various platforms and services, ensuring seamless functionality and performance.
Improve the conversational AI flow based on user feedback and interaction data.
Develop and maintain documentation for conversational Al systems, including design specifications, user guides, and technical manuals.
Troubleshoot and resolve issues related to conversational Al applications, ensuring high availability and reliability.
Participate in code reviews and contribute to the development of best practices for conversational AI development.