AI Engineer TSG

Burns & McDonnell; Bengaluru; On-site; INR 2,400,000 - 4,800,000; Full time

Job summary

Burns & McDonnell in Bengaluru, India, seeks an experienced backend engineer to design scalable services with Python, FastAPI, and Django. You will build RESTful APIs, leverage GenAI, and architect end-to-end GCP solutions, including Vertex AI and Cloud Run.

The role emphasizes CI/CD, monitoring, and cost-optimized performance. You will mentor junior engineers, collaborate across teams via Jira, and maintain production-grade code with GitHub.

Qualifications

• 5–8 years of experience in software engineering with strong expertise in Python.
• Hands-on experience with backend frameworks such as FastAPI 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.

Responsibilities

• Design and develop scalable backend services and APIs using Python.
• 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.

Skills

Python

FastAPI

Django

REST APIs

CI/CD

GCP

Jira

GitHub

Mentoring

Education

BE (IT)

MTech

Tools

Vertex AI

Cloud Run

BigQuery

Dataflow

PostgreSQL

Pinecone

FAISS

LangChain

Job description

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

Job

Information Technology

Primary Location

India-Karnataka-Bengaluru

Schedule

Full-time

Travel

No

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.