Experience: 1–3 years · Positions: 2
· Reports to: POD Lead (day-to-day
guidance from the Senior FDE)
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.
• 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
• 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
Required Skills
- 1+ 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.
• Google Cloud Associate Cloud
Engineer or Generative AI certification
• Personal or academic GenAI
projects (chatbots, voice bots, document Q&A)
• SQL, Docker basics
Bachelor's degree in Computer Science,
Engineering or a related field.
Skills Required
- 1-3 years of relevant experience
- Bachelor's degree in Computer Science, Engineering, or a related field
- Working knowledge of GCP services including Cloud Run or Cloud Functions, Cloud Storage, BigQuery basics, and IAM
- Strong Python fundamentals, including APIs, JSON, data handling, functions, classes, OOP, exception handling, file processing, and collection frameworks
- Understanding of Python 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 sorting, searching, recursion, and traversal algorithms
- 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
- Hands-on exposure to LLM APIs such as Gemini, OpenAI, or similar
- Familiarity with speech-to-text, text-to-speech, OCR, or document extraction tools
- Methodical debugging of code and cloud deployments
- Clear spoken and written English and comfort explaining work to teams and clients
- Google Cloud Associate Cloud Engineer or Generative AI certification
- Personal or academic generative AI projects such as chatbots, voice bots, or document Q&A
- SQL and Docker basics
What We Do
AlgoLeap specializes in AI-powered software solutions, digital product engineering, and IT consulting services, focusing on digital transformation and AI-driven innovation.
