AI Engineer_Full Stack Generative AI

Role overview

AI Engineer_Full Stack Generative AI at Burns & McDonnell

We are looking for an AI Engineer with Full-Stack experience to build scalable, production-ready Generative AI and Agentic AI applications across frontend, backend, AI, and cloud.

Responsibilities

• Develop responsive frontend applications using React / Angular / Svelte.
• Design and develop AI agents and multi-agent workflows using Google ADK, LangChain, and LangGraph.
• Build RAG solutions using embeddings, vector search, metadata filtering, and reranking.
• Work with Vector Databases such as Vertex AI Vector Search, pgvector, Pinecone, Qdrant, or Weaviate.
• Build document ingestion and knowledge-processing pipelines.
• Implement secure authentication using OAuth 2.0, JWT, OIDC, and IAM.

Required qualifications

• 5 to 8 Years
• *Qualifications**
• B.Tech/B.E in any specialization, BCA in any specialization, BSC in any specialization.
• 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:** 263864
• *Job Hire Type** Experienced Not Applicable #BMI N/A

Required skills

• *Frontend**
• React / Angular / Svelte
• JavaScript / TypeScript
• REST API integration
• Responsive UI development
• *Backend**
• Python
• FastAPI
• REST APIs
• Async programming
• PostgreSQL / SQL
• AI / GenAI
• Gemini / Vertex AI
• Google ADK
• LangChain / LangGraph
• RAG & Vector Databases
• Embeddings & semantic search
• Prompt engineering
• Tool/function calling
• Multi-agent workflows
• GCP Spanner Database
• *Cloud & DevOps**
• GCP
• Cloud Run
• Pub/Sub
• GCS
• Cloud SQL
• Docker
• CI/CD
• IAM / Secret Manager
• Cloud Logging & Monitoring
• MCP (Model Context Protocol)
• Microsoft Graph API / Azure Entra ID
• AI evaluation and observability
• OpenTelemetry
• Terraform
• WebSockets / SSE
• Experience with enterprise AI applications
• Ideal Candidate
• A strong Full-Stack AI Engineer who can independently take a solution from UI → FastAPI backend → AI agents/RAG → GCP deployment → production monitoring, with strong software engineering, cloud, and Generative AI fundamentals.
• Years of

Preferred qualifications and skills

• *Good to Have**

Employment details

• Location: Bengaluru [IND]

Additional role details

• *Description**
• *Key Responsibilities**
• Build scalable backend services and REST APIs using Python and FastAPI.
• Integrate Gemini / Vertex AI and enterprise APIs into applications.
• Deploy scalable applications on GCP, including Cloud Run, Pub/Sub, GCS, Cloud SQL, and Secret Manager.
• Build asynchronous/event-driven services and optimize applications for performance, scalability, reliability, and cost.
• Implement testing, monitoring, logging, CI/CD, and production support.