Role & responsibilities

Job Title: Senior AI Engineer (Python, GCP, GenAI)

Location: Mumbai / Bengaluru

Experience: 58 years

Role Overview

We are looking for a Senior AI Engineer to build and scale AI-powered applications using Python and Google Cloud Platform. This role focuses on developing backend systems, APIs, and GenAI solutions such as RAG pipelines and AI agents, with a strong emphasis on production readiness and real-world impact.

Key Responsibilities

- Design and develop scalable backend services and APIs using Python (Rapid API / Django).
- Build and deploy GenAI applications including RAG pipelines, AI agents, and LLM integrations.
- Architect end-to-end solutions on GCP, covering data ingestion, processing, model integration, and deployment.
- Deploy and manage services using Cloud Run, Vertex AI, and other GCP components.
- Implement engineering best practices including CI/CD, logging, monitoring, and performance optimization.
- Collaborate with cross-functional teams and manage work through Jira.
- Use GitHub for version control, code reviews, and maintain clean, production-grade code.
- Mentor junior engineers and contribute to technical design and standards.

Required Skills & Qualifications

- 5–8 years of experience in software engineering with strong expertise in Python.
- Hands-on experience with backend frameworks such as Fast API and Django.




- Experience building RESTful APIs and scalable microservices.
- Strong experience with Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, Dataflow, PostgreSQL).
- Experience with AI agents, Google ADK, and Model Context Protocol (MCP).
- Exposure GenAI orchestration frameworks (LangChain or similar).
- Experience working with unstructured data (PDFs, documents, engineering data).
- Knowledge of cloud cost optimization and system performance tuning.
- Experience working with LLMs and GenAI use cases (prompting, integrations, APIs).
- Hands-on experience with RAG pipelines and vector databases.
- Experience with GitHub (branching, pull requests, code reviews).
- Familiarity with Agile workflows and tools like Jira.

Good to Have

- Understanding of machine learning concepts and frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with MLOps practices and model lifecycle management.

Tech Stack

- Languages & Frameworks: Python, FastAPI, Django.
- Cloud Platform: Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, Dataflow, Cloud Composer).
- GenAI: LLMs, Prompt Engineering, RAG, AI Agents.
- Vector Databases: Vertex AI Matching Engine, Pinecone, FAISS.
- Tools & Platforms: GitHub, Jira.
- Frameworks: Google ADK, Lang Chain (or equivalent).

Preferred candidate profile

📌 GCP AI Engineer -Gen AI (Bengaluru)
🏢 LanceSoft
📍 Bengaluru