AI Engineer TSG

Burns & McDonnell
Center Township, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Center Township, United States of America

Tech stack

API
Agile Methodologies
Artificial Intelligence
Airflow
JIRA
Google BigQuery
Cloud Storage
Code Review
Continuous Integration
Django
Data Flow Control
Github
Python
PostgreSQL
Machine Learning
Language Modeling
Performance Tuning
TensorFlow
Software Engineering
Systems Integration
Unstructured Data
Data Logging
Google Cloud Platform
Cloud Platform System
Data Ingestion
PyTorch
Large Language Models
Prompt Engineering
Generative AI
Backend
FastAPI
Build Management
Scikit Learn
Kubernetes
Information Technology
Google Cloud Functions
Production Code
Machine Learning Operations
Cloud Optimization
REST
Programming Languages
Microservices

Requirements

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

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