Full Stack AI Engineer

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.