Junior Python with AI Engineer

Experience: 1–3 years

• Positions: 2
• Reports to: POD Lead (day-to-day guidance from the Senior FDE) Role summary The Junior FDE builds, tests and supports AI solution modules on GCP under the guidance of the Senior FDE and POD Lead. The role suits an engineer who wants hands-on GenAI delivery and regular client exposure.

Key responsibilities

• Develop and test Python modules, APIs and data pipelines for assigned features
• Deploy and maintain services on GCP (Cloud Run, Cloud Functions, Cloud Storage)
• Build and tune prompts and LLM calls; prepare data for RAG and evaluation
• Support voice and document workflows: configure speech and OCR services, test outputs, fix edge cases
• Debug issues using logs and traces, and raise blockers early
• Write documentation, test cases and clear task updates
• Join client calls and demos; present own work when asked Required skills
• GCP stack: working knowledge of core services (Cloud Run or Cloud Functions, Cloud Storage, Big. Query basics, IAM)
• Python: solid fundamentals; APIs, JSON, data handling, Git
• AI: hands-on exposure to LLM APIs (Gemini, OpenAI or similar) through projects or work
• Voice and document management: familiarity with speech-to-text, text-to-speech or OCR / document extraction tools
• Debugging: methodical troubleshooting of own code and cloud deployments
• Communication and presentability: clear spoken and written English; comfortable explaining work to the team and client Python & Data Structures / Algorithms (DSA) Required Skills 2+ Years in Strong foundation in Python programming including functions, classes, object-oriented programming (OOP), exception handling, file processing, and collection frameworks. Understanding of core Python concepts including generators, decorators, list comprehensions, iterators, and package management. Knowledge of fundamental Data Structures including Arrays, Strings, Linked Lists, Stacks, Queues, Hash Maps, Sets, and Trees. Understanding of basic Algorithms including Sorting, Searching, Recursion, and Traversal techniques. Ability to write clean, modular, maintainable, and testable Python code. Basic understanding of time and space complexity analysis. Experience solving coding problems through academic, personal, or professional projects. Good to have
• Google Cloud Associate Cloud Engineer or Generative AI certification
• Personal or academic GenAI projects (chatbots, voice bots, document Q&A)
• SQL, Docker basics Qualifications Bachelor's degree in Computer Science, Engineering or a related field.