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, 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)

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.