Experience: 1–3 years · Positions: 2· Reports to: POD Lead (day-to-dayguidance from the Senior FDE)

Role summary

The Junior FDE builds, tests and supportsAI 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 clientexposure.

Key responsibilities

•Develop and test Pythonmodules, APIs and data pipelines for assigned features

•Deploy and maintain services onGCP (Cloud Run, Cloud Functions, Cloud Storage)

•Build and tune prompts and LLMcalls; prepare data for RAG and evaluation

•Support voice and documentworkflows: configure speech and OCR services, test outputs, fix edge cases

•Debug issues using logs andtraces, and raise blockers early

•Write documentation, test casesand clear task updates

•Join client calls and demos;present own work when asked

Required skills

•GCP stack: working knowledge of coreservices (Cloud Run or Cloud Functions, Cloud Storage, BigQuery 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 extractiontools

•Debugging: methodical troubleshooting ofown code and cloud deployments





•Communication and presentability: clearspoken and written English; comfortable explaining work to the team and client

Python& Data Structures / Algorithms (DSA)

Required Skills

- 1+ Years in Solid 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 CloudEngineer or Generative AI certification

•Personal or academic GenAIprojects (chatbots, voice bots, document Q&A;)

•SQL, Docker basics

Qualifications

Bachelor's degree in Computer Science,Engineering or a related field.

📌 Junior Python with AI Engineer (Maharashtra)
🏢 Algoleap Technologies
📍 Maharashtra