AI Engineer TSG

Role overview

AI Engineer TSG at Burns & McDonnell

Employment details

• *Primary Location** India-Karnataka-Bengaluru
• Location: Bengaluru [IND]

Additional role details

• *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
• *Schedule:** Full-time
• *Travel:** No
• *Req ID:** 261881
• *Job Hire Type** Experienced Not Applicable #BMI N/A