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.
- 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.
More Info
Key Skills
Agentic Workflow Design
RAG workflow design
Agent architectures
Agent tooling
Model training
Hallucination control
Multi-turn instruction following
Multimodal agents
Annotation guideline development
Memory Tools training optimization
Tool-calling accuracy
About Company
Skills:
Jax, Pytorch, Python, Transformer and language model internals, Training and inference workloads
Skills:
Computer Vision, Python, Ocr, industrial engineering software, CAD geometry processing, LLM agents, VLMs, retrieval, multimodal AI
Skills:
Api Integration, Agent tooling, multimodal agents, Agent architectures, reinforcement learning, Data Evaluation, model training, Memory Tools training, annotation workflows
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:
Java, Machine Learning, C++, Version Control, Testing, Deep Learning, Tensorflow, Computer Vision, Pytorch, Opencv, Keras, Code Review, Python, reinforcement learning, Deployment