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.
Good to Have
- Understanding of machine learning concepts and frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with MLOps practices and model lifecycle management.
Tech Stack
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Languages & Frameworks: Python, FastAPI, Django
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Cloud Platform: Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, Dataflow, Cloud Composer)
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GenAI: LLMs, Prompt Engineering, RAG, AI Agents
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Vector Databases: Vertex AI Matching Engine, Pinecone, FAISS
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Tools & Platforms: GitHub, Jira
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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
