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
Agent tooling
multimodal agents
Agent architectures
Data Evaluation
model training
Memory Tools training
annotation workflows
About Company
Skills:
vendor coordination , Api Integration, Agentic Workflow Design, reinforcement learning, Agent architectures, Agent tooling, RAG workflow design and optimization, Model training, Hallucination control, Multi-turn instruction following, Multimodal agents, Annotation guideline development, Memory Tools training optimization, Tool-calling accuracy
Skills:
Jax, Pytorch, Machine Learning, Python, OpenAI-style APIs, Inference systems, Vector DB, LLMs, LLaMA, Training loops, Neural network architectures, Qwen, Model orchestration, Data pipelines
Skills:
Pytorch, Python Programming, LSTMs, reinforcement learning, RNNs, graph theory, Heterogeneous GNNs, Hugging Face, PyTorch Geometric, Nvidia Triton, GNNs, Nvidia NIMs, HGNNs, VLLM, Agentic AI, Transformers, AI reasoning
Skills:
Api Integration, Database Management, System Testing, Debugging, Application Deployment, Software Development Methodologies, Python, Data Processing, AI technologies, ERP systems, Microsoft Dynamics 365 Business Central, machine learning concepts
Skills:
search engine ranking , Cloud Applications, Elasticsearch, Docker, Data Privacy, LangChain, software repository, Implementation of Security Applications, Computer Science, Project Integration, Workflow Orchestration, Design, Tools Development, Evaluation Methodology, capability development, Technology Evaluation