Full Stack AI Engineer

Job Description

Title Full Stack AI Engineer

Department      GPS Technology

Location Gurgaon, India

Reports To       TBD

Level 4

We share a commitment to making things better for clients and each other. We continually explore new technology and different ways of working to put our clients first. So, bring your boldest ideas to our Customer Communications team and feel like you're making progress.

About your team

Customer Communications is a new platform team established within Fidelity's Global Platform Solutions (GPS) business. It's an exciting place to be and a great opportunity for you to help shape what good looks like as we define new structures and processes. The team is responsible for the underlying mechanisms, tools and technologies to produce correspondence, whilst working with the associated business channels and downstream operational functions to support features and initiatives that aim to optimise the customer experience.

About your role

We are looking for a Full Stack AI Engineer to join our Communications Platform team within the GPS technology group. In this role you will design and build intelligent, scalable solutions that power our next-generation customer communications. You will bring together enterprise-grade application development with AI/ML capabilities to enhance personalization, automation and decision-making across the platform.

This is a hands-on engineering role requiring deep technical expertise in backend services, cloud-native development and AI-integration. You will also collaborate with architects, product owners, and technology teams within Fidelity International to rapidly evolve strategic technology drivers and meet end customer experience demands.

• Build, scale and maintain cloud-native applications running on Kubernetes.
• Integrate AI/ML models and APIs into the communication platform for personalization, NLP, recommendations and decision engines.
• Enable data-driven features through seamless integration with Snowflake and other enterprise data platforms.
• Partner with architects, product managers and data engineers to design intelligent features that personalize communications at scale.
• Work with Snowflake and data platforms to unlock insights for decisioning and automation.
• Contribute to both backend engineering and AI development – from model integration to service deployment.
• Ensure that technical solutions meet the necessary functional, non-functional, and support requirements, and align with Global Technology Strategies
• Provide mentorship and guidance to the team on AI-related projects and initiatives

About you

The ideal candidate will have 5-8 years of experience as a full-stack engineer, including:

• Full stack or backend engineering with strong expertise in Spring Framework and REST API-based applications
• Proven expertise building cloud-native applications on AWS with Kubernetes.
• Experience in one or more SQL and NoSQL databases (Oracle, MySQL, PostgreSQL, DynamoDB)
• Experience in testing frameworks (JUnit, Cucumber, Gauge, Selenium)
• Expertise in leveraging AI in SDLC using tools like GitHub Copilot, and experience integrating AI agents in AI-based solutions.
• Awareness about different AI Frameworks like Langchain, Langgraph, Crew.AI, etc., and different LLMs.
• Knowledge of agentic workflows and their application in real-world scenarios.
• Understanding of best practices in AI development including ethical and security considerations.
• Programming Proficiency: Strong skills in Python, with experience using frameworks/libraries such as PyTorch, scikit-learn, Hugging Face, and spaCy
• RAG & Knowledge Systems: Practical experience with Retrieval-Augmented Generation (RAG) and vector databases like Pinecone, FAISS, or Weaviate

Good-to-Have Skills

• Knowledge of frontend frameworks(React/JavaScript/TypeScript) for building intelligent UIs.
• Understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning).
• Understanding of knowledge graphs, embeddings optimization, and enterprise search integration.
• Exposure to real-time decisioning and streaming data.
• Exposure to multimodal AI (text + vision, speech).
• Familiarity with MLOps/DevOps (CI/CD pipelines, monitoring, retraining).
• Strong collaboration and communication skills to work with cross-functional teams and explain AI concepts to stakeholders.

Key Differentiators

• GenAI Proficiency: Experience with AI coding assistants, copilots, tooling, generative code, and documentation. Utilize GenAI for prototyping, automated testing, documentation, and intelligent code reviews.
• Code as Craft: Write clean, modular, future-proof code with a focus on transforming old platforms into next-gen systems.
• Continuous Learning & Knowledge Sharing: Active contribution to internal tech talks and AI guilds. Share new insights, promote best practices and upskill team members in AI.
• Customer-Centric Engineering: Leverage feedback, usage analytics and behavorial data to refine AI driven capabilities.

Feel rewarded

For starters, we'll offer you a comprehensive benefits package. We'll value your wellbeing and support your development. And we'll be as flexible as we can about where and when you work – finding a balance that works for all of us. It's all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit

For more about our work, our approach to dynamic working and how you could build your future here, visit