AI Engineer, AI Assistant
Job Description
Job Description:
- Agentic Workflow: Design and implement core Agent architectures and Agent tooling
- API integration & Deployment: Build and optimize API's for Agent lifecycle and deployment for runtime access.
- Memory & Tools: training optimization in Agent and Tool-use directions, improving metrics such as tool-calling accuracy, multi-turn instruction following, and hallucination control.
- Data & Evaluation: Manage the collection, cleaning, synthesis, and annotation workflows for post-training data participate in annotation guideline development and vendor coordination.
Requirements:
- Master's in Computer science, Engineering, Information systems, or a related field
- Minimum 1 Year of full time working experience in AI workflow design, RAG, workflow design and optimization for a user facing AI product.
- Minimum 1 Year of full time experience with multimodal agents and Reinforcement learning or model training.
- Experience with E-commerce platform and agents will be highly preferred.
Kindly note that you can only be considered for one role at a time with any of the companies within our Group. If you have applied for other jobs with the Group, you will be considered for roles in the order of your application
More Info
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Key Skills
Agentic Workflow Design
RAG workflow design
Data Evaluation
Agent architectures
Agent tooling
Model training
E-commerce platform
Multimodal agents
Annotation guideline development
Memory Tools training optimization
About Company
Skills:
Machine Learning, Api Integration, Python, LangChain, Generative AI, n8n, prompt engineering
Skills:
Machine Learning, Api Integration, Python, LangChain, Generative AI, Prompt engineering, n8n
Skills:
Software Engineering, RAG systems, Reliability, evaluation harnesses, ML models, security teams, regression checks, agent runtime orchestration, AI-assisted development tools, cost management, retrieval quality, measurable AI performance frameworks, AI workflow patterns, RAG grounding, monitoring production AI behavior, quality gates, LLMs, model routing, evaluation approaches, agentic workflows, context management, latency optimization, golden sets, prompt design
Skills:
containerization , Api Integration, Javascript, Python, Ml, Docker, N8N, prompt engineering, workflow orchestration, Ai
Skills:
API development and integration, Python, Software engineering fundamentals, Prompt Engineering, AI Agent concepts and frameworks