Junior Python with AI Engineer

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, 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 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)
• 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.

Skills

GCP, Gemini, Gen AI, Google Cloud, LLM, OpenAI, Python, RAG