The Production Engineer is a pivotal role within Citi's Technology organisation, responsible for designing, building, and operating the intelligent systems that underpin our global production environment. This is an engineering-first position at the intersection of software craftsmanship, AI-native development, and large-scale distributed systems. As part of a multi-year transformation journey, the successful candidate will help define what production engineering looks like in an era of autonomous agents, generative AI, and self-healing infrastructure. You will be expected to write production-grade code daily, design agentic workflows, and contribute meaningfully to the evolution of our AI engineering practices across Citi's India technology hub. The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Accountable for delivery of a full range of end-to-end projects. Excellent communication skills required to negotiate internally. Involved in short- to medium-term planning of actions and resources for own area. **Responsibilities** + Designs, develops, and maintains production-grade software systems with a strong emphasis on reliability, scalability, and operational excellence across Citi's global technology estate. + Architects and implements **agentic AI workflows** - building autonomous systems that can reason, plan, and act across production environments with minimal human intervention. + Applies advanced **prompt engineering techniques** to integrate large language models (LLMs) into operational tooling, incident response pipelines, and developer productivity platforms. + Leads the development of **AI-native observability** solutions - leveraging intelligent agents to detect anomalies, predict failures, and automate remediation before issues impact end users. + Writes clean, well-tested, and well-documented code across the full stack; champions engineering best practices including code review, pair programming, and test-driven development. + Drives **Continuous Delivery and Automation** efforts across supported applications by means of Root Cause Analysis reviews, knowledge management, performance tuning, and user training. + Operates and evolves CI/CD pipelines, Infrastructure-as-Code tooling, and GitOps workflows to support rapid, safe delivery of software at scale. + Collaborates with platform, data, and product engineering teams to embed AI capabilities into the production lifecycle - from deployment to decommission. + Implements the **Agile Framework** through one of its implementations (SCRUM or Kanban) and ensures it integrates with overall organisation processes. + Operates within a highly regulated financial environment, maintaining in-depth understanding of compliance requirements and their implications for system design and data handling. + Coaches and mentors team members on AI engineering practices, prompt design patterns,



and agentic system architecture - fostering a culture of continuous learning and technical excellence. + Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period. + Fosters a culture that promotes transparency and innovation for increased team productivity. **Qualifications** + Demonstrable experience in a critical **software engineering or production engineering role** with high business impact and a solid programming foundation (Java, Python, Go, or equivalent). + Hands-on experience with **AI/ML engineering** - including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases. + Proven expertise in **prompt engineering** : designing, iterating, and evaluating prompts for production use cases including classification, summarisation, code generation, and autonomous decision-making. + Experience designing and deploying **agentic systems** using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent - including multi-agent orchestration and tool-use patterns. + Excellent engineering skills and strong understanding of **Software Development Lifecycle** , GitOps, and modern DevSecOps practices. + Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.). + Polyglot full-stack developer mentality and ability to pick up new languages and skills. + Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application, and database stacks. + Operational experience of deploying and running services at scale on top of **Docker/Kubernetes** stack and a service mesh (Istio or equivalent) is highly desirable. + Operational experience with orchestration tools for **CI/CD and Infrastructure-as-Code** tooling (Terraform, CloudFormation, Pulumi, etc.) is highly desirable. + Experience of delivering software using **Agile delivery methodologies** is a must (SCRUM/Kanban). + Operational experience of using **middleware technologies** (MQ, Apache Kafka, etc.) to run services at scale is desirable. + Strong experience with **end-to-end observability stacks** (Datadog, AppDynamics, Dynatrace, etc.) is desirable. + Degree in Computer Science, Mathematics, Physics, or a related technical subject is desirable. + Experience of senior stakeholder management. + Consistently demonstrates clear and concise written and verbal communication skills. + Ability to operate in a global environment with on-/near-/off-shore matrix reporting structures. **Human Qualities & Soft Skills** Beyond technical capability,



the Production Engineer who will thrive in this role brings a distinct set of human qualities that amplify their engineering impact and elevate those around them. + **Learnability** - Rapidly acquires new skills, frameworks, and paradigms. In a field evolving as fast as AI engineering, the ability to learn is the most durable skill of all. + **Teachability** - Receives feedback with openness and intellectual humility. Actively seeks mentorship and applies guidance to accelerate growth. + **Flexibility & Adaptability** - Thrives in ambiguity. Pivots gracefully when requirements shift, technology evolves, or priorities change - without losing momentum or quality. + **Engineering Mindset** - Approaches every problem systematically: decomposing complexity, forming hypotheses, and validating solutions with rigour and precision. + **Product-Minded Thinking** - Understands that code serves users and business outcomes. Balances technical elegance with pragmatic delivery and user impact. + **Collaborative Spirit** - Builds trust across disciplines - engineering, product, operations, and leadership. Elevates the team's collective output through generosity and clear communication. + **Intellectual Curiosity** - Asks "why" before "how". Explores the edges of what's possible with AI and production systems, driven by genuine fascination rather than obligation. + **Ownership & Accountability** - Takes end-to-end responsibility for what they build. Does not hand off problems - follows through from design to deployment to post-incident review. ------------------------------------------------------ **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. ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Java Full Stack Lead - Vice President (Pune)
🏢 Citigroup
📍 Pune