**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 Quick 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 **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 & McDonnell
📍 Bengaluru