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AI Engineer TSG
Burns & McDonnell
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
PythonFastAPIDjangoGoogle Cloud PlatformVertex AICloud Run
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PythonFastAPIDjango
Key Skills for This Role
PythonFastAPIDjangoGoogle Cloud PlatformVertex AICloud Run
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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.
- 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.
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