Description

- Design and develop scalable backend services and APIs using Python (Fast 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.

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.
- Solid 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

Qualification

- BE (IT), MTech

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.

Job Information Technology

Primary Location India-Karnataka-Bengaluru

Schedule: Full-time

Travel: No

Req ID: 261881

Job Hire Type Experienced Not Applicable #BMI N/A

📌 AI Engineer TSG (Bengaluru)
🏢 Burns u0026 McDonnell India
📍 Bengaluru