Meta Description
TalentSathi successfully places Dinesh Bhusal as Senior AI Engineer at TalentSathi Australian Client. Learn how his experience in RAG systems, LLM orchestration, LangChain, LangGraph, vector databases, AWS, and scalable backend engineering made him a strong fit for this remote AI engineering role.
Dinesh Bhusal Joins TalentSathi Australian Client as Senior AI Engineer
Short Introduction
TalentSathi is proud to announce the successful placement of Dinesh Bhusal as a Senior AI Engineer at TalentSathi Australian Client. With more than six years of experience in backend engineering, AI-powered systems, RAG pipelines, LLM infrastructure, and cloud-based application development, Dinesh brings the technical depth required to help build the client’s agentic AI platform.
Full Story
TalentSathi Australian Client was looking for a Senior AI Engineer who could build a production-grade AI agent platform for its marketing agency operations. The role required someone capable of working across agent orchestration, semantic memory, API integrations, cloud infrastructure, call intelligence, and human-in-the-loop workflows.
The position required strong experience in:
Agentic AI systems
LLM orchestration and tool-calling
LangChain and LangGraph
RAG pipelines and semantic search
Vector databases such as pgvector, Pinecone, FAISS, and Qdrant
Python and TypeScript-based backend systems
API integrations and workflow automation
Cloud infrastructure, Docker, Kubernetes, and CI/CD
Through TalentSathi’s recruitment and screening process, Dinesh Bhusal stood out as a strong match.
Dinesh brings extensive experience as a Senior Backend Engineer with AI/ML expertise, having worked on scalable backend platforms, AI-powered products, healthcare data systems, and large-scale cloud infrastructure.
His independent AI product, Raasie, is especially relevant to this role. Raasie is an AI chat platform for websites where Dinesh led end-to-end product development, including system design, backend implementation, AI integration, RAG pipelines, vector search, tool-calling capabilities, multi-LLM routing, and AWS deployment.
In his current role as Senior Backend Engineer (AI) at Education Advisory Board, Dinesh designs scalable backend architectures for AI-powered applications, optimizes RAG pipelines, improves metadata indexing, builds LLM orchestration workflows, and mentors engineers on backend design and AI integration patterns.
Previously, as a Senior Backend AI Engineer Contractor, he built enterprise-grade RAG chatbots using LangChain, LangGraph, and Pinecone, developed semantic search systems with OpenAI embeddings and Qdrant, and architected secure ETL pipelines migrating over 10TB of data to AWS.
His earlier experience at Blackbox Technologies and Cedargate Technologies further strengthened his backend, DevOps, microservices, data pipeline, and cloud infrastructure expertise.
With strong hands-on experience in Python, FastAPI, AWS, PostgreSQL, Redis, LangChain, LangGraph, vector databases, RAG pipelines, and production AI systems, Dinesh is well-positioned to support TalentSathi Australian Client’s AI platform build.
Candidate Highlight
Candidate Name
Dinesh Bhusal
Position
Senior AI Engineer
Company
TalentSathi Australian Client
Work Type
Remote
Key Strengths
RAG pipeline development
LLM orchestration
LangChain and LangGraph
Tool-calling AI agents
Vector databases and semantic search
Python backend engineering
FastAPI, Django, and Flask
AWS cloud infrastructure
Docker, Kubernetes, and CI/CD
Microservices architecture
PostgreSQL, Redis, MongoDB, and MySQL
Production AI application development
Professional Experience
Senior Backend Engineer (AI), Education Advisory Board
Designed backend architectures for AI-powered applications, optimized RAG pipelines, improved retrieval strategies, reduced AWS costs, and mentored engineers on AI integration patterns.
Senior Backend AI Engineer, Contractor
Built enterprise-grade RAG chatbots using LangChain, LangGraph, Pinecone, OpenAI embeddings, and Qdrant while managing large-scale ETL and semantic search systems.
Senior Software Engineer, Blackbox Technologies
Developed high-performance backend systems, microservices, and REST APIs supporting large user bases.
Senior Software Engineer / DevOps Engineer, Cedargate Technologies
Built healthcare data pipelines, AWS automation, CI/CD workflows, Docker-based deployments, and enterprise integration tools.
About TalentSathi Australian Client
TalentSathi Australian Client is a Brisbane-based marketing agency managing a large client base across Google Ads, SEO, and social media. The company is building an AI-powered agentic operating model to automate and improve client onboarding, campaign management, reporting, call intelligence, and internal operations.
The platform is designed to use autonomous AI agents that research, analyze, recommend, and execute across client accounts with human oversight at key decision points.
TalentSathi’s Role in the Placement
TalentSathi supported this successful hiring by:
Understanding TalentSathi Australian Client’s requirement for a senior AI engineer
Screening candidates with real production AI, backend, and cloud experience
Evaluating expertise in RAG pipelines, LangChain, LangGraph, and vector databases
Coordinating the recruitment process for a remote international role
Helping the client hire a senior engineer capable of building scalable AI systems
This placement reflects TalentSathi’s ability to connect international companies with senior AI, backend, and machine learning engineering talent.
Closing Call to Action
Looking to hire Senior AI Engineers, Backend AI Engineers, LLM Engineers, or RAG specialists?
Visit www.talentsathi.com and let TalentSathi help you find the right technical talent for your team.
TalentSathi connects skilled professionals with fast-growing companies across Nepal and beyond.
