Senior Python with AI Engineer

algoleap; Dadri; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

AlgoLeap Technologies Pvt Ltd. seeks a Senior FDE to build and ship AI features on GCP, collaborating closely with client users and guiding two Junior FDEs daily.

The role focuses on end-to-end AI feature delivery, GenAI and LLM work, and developing voice and document processing pipelines. Strong Python and GCP expertise are essential.

Qualifications

• 3-5 years of experience as a Software/AI Engineer.
• Experience building production-grade Python services for AI features.
• Hands-on with GCP AI services and data pipelines.

Responsibilities

• Build and deploy AI solutions on GCP from design through production
• Develop GenAI and LLM features: prompt pipelines, RAG, tool calling and agent workflows
• Build voice workflows (speech-to-text, text-to-speech, voice bots) and document pipelines (extraction, classification, search)
• Write clean, tested Python services and integrate with client systems and APIs
• Lead debugging of production issues and drive fixes to closure
• Review Junior FDEs' code, pair with them and break work into clear tasks
• Join client calls to gather requirements, demo progress and explain technical choices
• Document solutions, runbooks and handover notes

Skills

GCP

Python

GenAI/LLM delivery

Voice workflows

Documentation & handover

Debugging

Client-facing communication

Mentoring juniors

Design patterns

Algorithms & DS

Education

Bachelor's degree in CS/Engineering

Tools

Vertex AI

Cloud Run

Cloud Functions

BigQuery

Cloud Storage

Pub/Sub

REST APIs

Docker

CI/CD (Cloud Build, GitHub Actions)

Dialogflow CX

Job description

Role Summary

The Senior FDE builds and ships AI features on GCP end to end, working closely with client users. They are the pod's hands-on technical anchor and guide the two Junior FDEs day to day.

Experience:

3-5 years

Role Summary

The Senior FDE builds and ships AI features on GCP end to end, working closely with client users. They are the pod's hands-on technical anchor and guide the two Junior FDEs day to day.

Key Responsibilities

• Build and deploy AI solutions on GCP from design through production
• Develop GenAI and LLM features: prompt pipelines, RAG, tool calling and agent workflows
• Build voice workflows (speech-to-text, text-to-speech, voice bots) and document pipelines (extraction, classification, search)
• Write clean, tested Python services and integrate with client systems and APIs
• Lead debugging of production issues and drive fixes to closure
• Review Junior FDEs' code, pair with them and break work into clear tasks
• Join client calls to gather requirements, demo progress and explain technical choices
• Document solutions, runbooks and handover notes

Required Skills

• GCP stack: hands-on with Vertex AI, Cloud Run or Cloud Functions, BigQuery, Cloud Storage and Pub/Sub
• Python: strong; REST APIs, data processing, unit and integration testing
• AI: practical GenAI and LLM delivery (Gemini or similar), embeddings, vector search, prompt engineering
• Voice and document management: working experience with Speech-to-Text or Text-to-Speech and Document AI or OCR tools
• Debugging: independent troubleshooting across code, cloud logs and integrations
• Communication and presentability: clear with client users; can run a demo and write crisp status updates

Python & Data Structures / Algorithms (DSA)

Required Skills

• 3+Strong proficiency in Python programming with hands-on experience in building production-grade applications and APIs.
• Deep understanding of Object-Oriented Design, Design Patterns, Exception Handling, Testing Frameworks, and Dependency Management.
• Strong command over Data Structures including Arrays, Linked Lists, Trees, Graphs, Hash Tables, Heaps, Stacks, and Queues.
• Strong algorithmic problem-solving skills involving Searching, Sorting, Dynamic Programming, Recursion, Backtracking, and Graph Algorithms.
• Experience optimizing code for performance, scalability, and maintainability.
• Ability to analyze and improve solutions using time and space complexity considerations.
• Experience mentoring junior engineers on coding standards and best practices.

Good to have

• Google Cloud Associate or Professional certification
• Dialogflow CX or another conversational AI platform
• Docker, CI/CD (Cloud Build or GitHub Actions)
• Client-facing or onsite delivery experience

Qualifications

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