AI Engineer (Junior-Senior)

• 1. Work closely with business stakeholders to develop innovative AI application using various AI technology, e.g., RAG, workflow and AI agent. • Bring the AI application from prototyping to production with proper evaluation and testing throughout the software development life cycle (SDLC). • Develop services and integrate them with internal and external APIs / MCPs to power AI applications. • Work closely with Data Scientists, Platform Engineers and Product Owners to deliver AI application in a continuous delivery environment. • Keep pace with new technologies and use them whenever appropriate.

• University degree in computer science, software engineering, or related fields • At least 1 year experience in data science, software engineering or AI engineering • Experience in delivery of RAG application or other AI application is a preferable • Experience in public cloud platform (AWS, Azure, AliCloud) and having any relevant certification is a preferable • Experience in system design and software development lifecycle is a preferable. • Experience with MLOps/LLMOps in a large scale enterprise environment is a preferable • Experience in the following technology stack is preferable

As a AI Engineer, you will develop, maintain, test and evaluate various AI applications for various business use cases across different departments. You will also be involved in the design of other solutions, matching capabilities to priority business challenges. Key Responsibilities: • 1. Work closely with business stakeholders to develop innovative AI application using various AI technology, e.g., RAG, workflow and AI agent. • Bring the AI application from prototyping to production with proper evaluation and testing throughout the software development life cycle (SDLC). • Develop services and integrate them with internal and external APIs / MCPs to power AI applications. • Work closely with Data Scientists, Platform Engineers and Product Owners to deliver AI application in a continuous delivery environment. • Keep pace with new technologies and use them whenever appropriate. Qualifications: • University degree in computer science, software engineering, or related fields • At least 1 year experience in data science, software engineering or AI engineering • Experience in delivery of RAG application or other AI application is a preferable • Experience in public cloud platform (AWS, Azure, AliCloud) and having any relevant certification is a preferable • Experience in system design and software development lifecycle is a preferable. • Experience with MLOps/LLMOps in a large scale enterprise environment is a preferable • Experience in the following technology stack is preferable Programming: Python, SQL AI Orchestration: Langchain, LlamaIndex, Dify, n8n, etc. Vector DB: Milvus, ElasticSearch, Qdrant, etc. LLM: OpenAI, Deepseek, etc. Data Engineering: Airflow, Spark Infrastructure: Docker, Terraform, Kubernetes CICD Suite: Jenkins, JIRA, Sonar, Git, Ansible Test Framework: jMeter, jUnit, PyTest • Experience in working in an international team, with solid grounding in • financial service is a plus • Excellent communication skills and data driven thinking capabilities • Team management and problem-solving skills; self-motivated, creative, and • with a proven track record in developing and driving firm-wide initiatives Originally posted on Himalayas AI-Engineer, Machine-Learning-Engineer, Software-Engineer, AI-ML-Developer, Junior-AI-Engineer, Junior-AI-ML-Engineer, Senior-AI-Engineer, Senior-AI-Engineering, Senior-AI-Software-Engineer, Senior-AI-ML-Engineer, Junior-ML-Engineer