Full Stack Java and AI Developer - Assistant Vice President
At a glance
VP-level AI Engineering role at Citi. Pune Maharashtra India · full-time.
Pay not stated AI Developer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and support scalable Java applications with Spring Boot and Hibernate, alongside responsive Angular interfaces
- Create REST APIs and microservices, and run Kafka pipelines for real-time data processing
- Connect AI and machine-learning solutions to applications using Python, AI development kits and LangChain
- Take software through analysis, design, testing and release, while estimating effort and assessing technical risks
- Resolve production issues, strengthen application security, and guide junior analysts on full-stack and AI work
What you bring
- Five to eight years developing and analyzing full-stack applications, including work integrating AI or machine-learning capabilities
- Strong Java and Python skills, with hands-on experience in Spring Boot, Hibernate, Angular, Kafka and AI frameworks
- A bachelor's degree in computer science, engineering or a related discipline, or equivalent experience
Who this fits
This role suits an experienced developer who can work independently, advise senior stakeholders and explain complex AI concepts. You’ll contribute as a subject matter expert and mentor junior analysts. The position is hybrid in India.
From the employer
The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities:
- Design, develop, and maintain high-performance, scalable, and resilient enterprise applications using Java, Spring Boot, and Hibernate.
- Develop and consume RESTful APIs and microservices to support various business functions.
- Implement and manage real-time data processing pipelines and messaging systems using Kafka.
- Build responsive, user-friendly front-end interfaces and single-page applications using Angular.
- Write efficient, complex SQL queries, and perform database management, including schema design, optimization, and data modeling.
- Design, develop, and integrate AI/ML models and solutions into enterprise applications, leveraging Python and AI development kits.
- Utilize frameworks like LangChain to build advanced natural language processing and generative AI applications.
- Participate in all phases of the software development lifecycle (SDLC), including analysis, design, construction, testing, and implementation.
- Conduct feasibility studies, provide time and cost estimates, and contribute to IT planning and risk assessment.
- Collaborate with business analysts and users to understand requirements and translate them into technical solutions, including AI/ML solutioning.
- Recommend and implement security best practices to ensure the integrity and safety of application systems.
- Provide operational support, troubleshoot production issues, and consult with users and other technology groups to provide advanced programming solutions.
- Serve as a subject matter expert (SME) and mentor to junior analysts, helping to define operating standards and essential procedures, particularly in full-stack and AI development.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets.
Recommended Qualifications:
Technical Skills
- Programming Languages: Proficient in Java and Python.
- Frameworks & Libraries: Extensive experience with Spring Boot, Hibernate, Angular, and AI frameworks like LangChain.
- Messaging Systems: Hands-on experience with Apache Kafka for building event-driven architectures.
- Database: Strong proficiency in SQL and experience with relational database management systems (e.g., Oracle, PostgreSQL).
- Architecture: Solid understanding of microservices architecture, RESTful services, design patterns, and AI/ML system architecture.
- AI Development Kits: Experience with AI Development Kits (e.g., ADK).
- Experience: 5-8 years of relevant experience in full-stack systems analysis and programming of software applications, with a focus on integrating AI/ML capabilities.
Professional Skills
- Proven experience in managing and implementing successful projects, including those with AI/ML components.
- Working knowledge of consulting and project management techniques/methods.
- Excellent problem-solving skills with the ability to analyze complex issues and make sound evaluative judgments, especially in complex full-stack and AI environments.
- Ability to operate with a limited level of direct supervision and exercise independence of judgment and autonomy.
- Strong communication and interpersonal skills to act as an advisor to senior stakeholders and team members, including explaining complex AI concepts.
- Ability to work effectively under pressure and manage deadlines or unexpected changes in requirements
Education:
- Bachelor’s degree/University degree or equivalent experience in Computer Science, Engineering, or a related field.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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