Senior AI Engineer (GenAI & AWS) at TechX Corporation

Hanoi, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Engineering, GenAI, NLP, RAG Frameworks, Agentic Framework, Vector Databases, MCP, AI Platforms, Chatbot Development, Hugging Face, PyTorch, TensorFlow, RestAPI, gRPC, WebSocket, Prompt Engineering

Industry

IT Services and IT Consulting

Description

Company Overview: At TechX, we are pioneers in delivering cutting-edge solutions that empower businesses to thrive in today’s digital landscape. With a strong focus on Cloud Transformation (AWS), Data Modernization, and Generative AI, we bring unparalleled expertise to drive innovation, efficiency, and growth for our clients. We specialize in banking and financial services, retail, manufacturing, and transportation, delivering impactful solutions that address industry-specific challenges and significant market shifts. Together, we’ll build a future where innovation knows no limits. Key Responsibilities: Design and implement Retrieval-Augmented Generation (RAG) pipelines Build multi-agent orchestration logic for GenAI use cases (chatbot, assistant, IDP) Integrate with vector DBs and LLM APIs (e.g., AWS Bedrock, GCP VertexAI) Help building custom Agentic AI framework. Collaborate with backend and prompt teams to ensure seamless flow Key Requirements: 5+ years in AI/ML engineering, with 2+ in GenAI or NLP Strong hands-on experience with RAG frameworks, Agentic framework (LangChain, LlamaIndex), as well as strong understanding of RAG, Agentic, DeepSearch, ... Experience integrating with vector databases including Qdrant, ChromaDB, OpenSearch and Pinecone. Understanding the concept of MCP. Familiar with using AI platforms like AzureAI, VertexAI. Bonus point if familiar with AWS Bedrock/SageMaker and chatbot development. Familiar working with Hugging face transformers library, pytorch, tensorflow. Strong foundation of Computer Science!!! Understanding and experience in implementing RestAPI, gRPC, WebSocket, micro-services, web technology, etc. Know how to use vllm, llamacpp, and have experience working with GGUF type models. Understanding and proficiency in prompting engineering. What We Offer: Innovative Environment: A dynamic and collaborative work environment where innovation is encouraged. Professional Growth: Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies. Competitive Package: Competitive salary and benefits package Impactful Work: The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success. Apply now! Due to the high volume of applicants, only shortlisted candidates will be contacted. We apologize for this inconvenience!

Responsibilities

Design and implement Retrieval-Augmented Generation (RAG) pipelines and build multi-agent orchestration logic for GenAI use cases. Collaborate with backend and prompt teams to ensure seamless flow.