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AI Engineer_Full Stack Generative AI

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Onsite

AI Engineer_Full Stack Generative AI

Burns & Mcdonnell

AI Engineer_Full Stack Generative AI

Skills

Google Cloud PlatformSQL QueriesDockerReactTypescriptPythonSveltePostgreSQLAIFastAPIJavascriptTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

27 August 2026

What they need


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.
Key Responsibilities

Develop responsive frontend applications using React / Angular / Svelte.
Build scalable backend services and REST APIs using Python and FastAPI.
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.
Integrate Gemini / Vertex AI and enterprise APIs into applications.
Build document ingestion and knowledge-processing pipelines.
Deploy scalable applications on GCP, including Cloud Run, Pub/Sub, GCS, Cloud SQL, and Secret Manager.
Implement secure authentication using OAuth 2.0, JWT, OIDC, and IAM.
Build asynchronous/event-driven services and optimize applications for performance, scalability, reliability, and cost.
Implement testing, monitoring, logging, CI/CD, and production support.
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

Good to Have
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.

B.Tech/B.E in any specialization, BCA in any specialization, BSC in any specialization.

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