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AI Engineer TSG

Burns & McDonnell Bangalore, Indien
Gepostet vor 1 Monat Festanstellung Competitive

AI Engineer TSG

Burns & McDonnell Bangalore, Indien
AI Engineer TSG

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



+




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

Job ID  97A9ED1B4E08412EADB5369727B3D3C6
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