AI Engineer, AI Assistant
- Posted 16 hours ago
- Be among the first 10 applicants
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
model training
multimodal agents
Data Evaluation
Agent tooling
Agent architectures
Memory Tools
E-commerce platform
About Company
Skills:
Tensorflow, Git, Pytorch, Gcp, MLops, Azure, Python, AWS, data preprocessing, model evaluation metrics, MLflow, SageMaker, Kubeflow, feature engineering
Skills:
Workflows, custom API functionalities, technical support, AI agents, integration processes, crm software
Skills:
Shopify, Json, Git, Python Programming, Rest Apis, Testing, Deploying AI applications to production, Prompt engineering, AI agents and multi-agent workflows, Structured output design, Vector databases and embeddings, Klaviyo, Claude Code or similar tools, Search Console, Security, Debugging and maintaining AI workflows, Context management, Webhooks, Production best practices, GA4, Memory and human-in-the-loop workflows, Make n8n or similar workflow automation platforms, Monitoring
Skills:
Typescript, Javascript, Python, Sql, Cursor Claude Code, AWS Bedrock, n8n, LLM APIs, AI agents, multimodal document data processing