Full Stack Developer (Python & Angular) Assistant Vice President

Citi; Bengaluru; On-site; INR 1,600,000 - 2,500,000; Full time

Job summary

Citi is seeking an experienced professional to drive AI product development and deployment in Bengaluru, Karnataka. The role requires a minimum of 8 years in full stack development with a focus on AI-enabled solutions.

The ideal candidate should have solid experience in building web applications using Python and front-end technologies like Angular. This position also offers an opportunity to work on cutting-edge generative AI technologies.

Qualifications

• Minimum 8 years of experience in full stack development and Data Science.
• Proven track record of shipping AI-enabled products in an agile environment.
• Experience with LLMs and transformer architectures is preferred.

Responsibilities

• Ideate on analytical projects for strategic business priorities.
• Own end-to-end delivery of AI-powered products.
• Collaborate with cross-functional teams to translate problems into solutions.

Skills

Production web applications with Python

Front-end development with Angular and TypeScript/JavaScript

API design with REST and GraphQL

Datastores: SQL and NoSQL

Containers with Docker

Configuration management with Ansible

Networking fundamentals

Observability and monitoring

Security practices

Generative AI and deep learning

Education

Bachelor’s or Master’s in Computer Science Engineering

Tools

Docker

Tekton

Ansible

PyTorch

TensorFlow

Hugging Face

Job description

Role Overview

The role will involve working on a wide range of AI‑powered product development and deployment, serving as a key contributor to ideation on analytical projects, and owning end‑to‑end delivery of solutions.

Responsibilities

• Ideate on analytical projects to address strategic business priorities.
• Embrace curiosity and navigate ambiguity to solve open‑ended problems.
• Own end‑to‑end delivery of AI‑powered products, from requirements gathering to deployment and support.
• Design and build API‑first services (REST/GraphQL) in Python and Node.js that expose model inference, feature computation, and analytics.
• Develop intuitive front‑end interfaces and internal tools using React/Angular/Vue.
• Implement containerized services with Docker and automate build/test/deploy via CI/CD (Tekton, Harness, Git‑based pipelines).
• Use Ansible for configuration management and environment provisioning across Linux/Windows.
• Establish secure‑by‑design practices, enforce coding standards, and apply best security practices.
• Instrument applications and pipelines with monitoring and logging; drive performance tuning and cost optimization.
• Apply GenAI techniques (prompt engineering, RAG, fine‑tuning) and deep learning methods to solve business problems.
• Build evaluation harnesses and guardrails for LLM quality, safety, hallucination reduction, and bias assessment.
• Collaborate with product, data, security, and platform teams to prioritize roadmaps and translate ambiguous problems into delivered capabilities.
• Create clear technical documentation, architecture diagrams, and runbooks; participate in design and code reviews.
• Assess risk when making business decisions, ensuring compliance with applicable laws, rules, and regulations, and escalating control issues with transparency.
• Build partnerships with cross‑function leaders.

Experience & Qualifications

Minimum 8 years of relevant experience in full stack development and Data Science (ML and DL) combined. Demonstrated track record shipping AI‑enabled products to production in an agile environment.

Must-Have Skills

• 5+ years building production web applications and services with Python.
• Front‑end development with Angular and strong TypeScript/JavaScript fundamentals.
• API design and development with REST and GraphQL; experience with microservices patterns.
• Datastores: SQL (PostgreSQL) and NoSQL (MongoDB); schema/data modeling, indexing, and performance tuning.
• Containers with Docker; CI/CD using Tekton, Harness, and Git‑based pipelines for automated testing and deployments.
• Configuration management and automation with Ansible; scripting for environment provisioning and release management.
• Operating systems: Linux and Windows; solid understanding of OS/process fundamentals.
• Networking basics: DNS, load balancers, firewalls, routing, ports, and protocols.
• Observability: application monitoring, centralized logging, tracing; strong debugging and problem‑resolution skills.
• Security: authentication, authorization, secret management, secure coding, and dependency hygiene.

Generative AI & Deep Learning (Preferred)

• Hands‑on with LLMs and transformer architectures; experience with prompt engineering and system prompt design.
• Retrieval‑Augmented Generation (RAG): embeddings, vector indexes, chunking strategies, and retrieval evaluation.
• Model customization: fine‑tuning/LoRA/PEFT; data curation, labeling, and experiment tracking for reproducibility.
• Frameworks and tooling: PyTorch, TensorFlow, Hugging Face ecosystem, and orchestration libraries.
• Model serving/inference optimization: batching, token streaming, quantization, caching, and concurrency controls.
• Quality & safety: automatic evaluation, red‑teaming, toxicity filters, PII handling, prompt injection defenses.
• MLOps for GenAI: feature pipelines, model registries, rollout strategies (A/B, shadow), monitoring for drift and hallucinations.

Good to Have

• Experience with enterprise identity and access management, secrets vaults, and compliance controls.
• Knowledge of data privacy and responsible AI practices; experience implementing audit and guardrail tooling.
• Familiarity with vector databases and search infrastructure.

Education

Bachelor’s or Master’s (preferred) in Computer Science Engineering.

This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required.