AI Algorithm Engineer
Location
United States + 259 moreAll locations: United States, Afghanistan, Åland Islands, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antarctica, Antigua And Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bermuda, Bhutan, Bolivia, Plurinational State Of, Bosnia And Herzegovina, Botswana, Bouvet Island, Brazil, British Indian Ocean Territory, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, Canada, Cape Verde, Cayman Islands, Central African Republic, Chad, Chile, China, Christmas Island, Cocos (keeling) Islands, Colombia, Comoros, Congo, Congo, The Democratic Republic Of The, Cook Islands, Costa Rica, Côte D'ivoire, Croatia, Cuba, Cyprus, Czech Republic, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Ethiopia, Falkland Islands (malvinas), Faroe Islands, Fiji, Finland, France, French Guiana, French Polynesia, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Grenada, Guadeloupe, Guam, Guatemala, Guernsey, Guinea, Guinea-bissau, Guyana, Haiti, Heard Island And Mcdonald Islands, Holy See (vatican City State), Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Islamic Republic Of, Iraq, Ireland, Isle Of Man, Israel, Italy, Jamaica, Japan, Jersey, Jordan, Kazakhstan, Kenya, Kiribati, Korea, Democratic People's Republic Of, Korea, Republic Of, Kuwait, Kyrgyzstan, Lao People's Democratic Republic, Latvia, Lebanon, Lesotho, Liberia, Libyan Arab Jamahiriya, Liechtenstein, Lithuania, Luxembourg, Macao, Macedonia, The Former Yugoslav Republic Of, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Martinique, Mauritania, Mauritius, Mayotte, Mexico, Micronesia, Federated States Of, Moldova, Republic Of, Monaco, Mongolia, Montenegro, Montserrat, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Caledonia, New Zealand, Nicaragua, Niger, Nigeria, Niue, Norfolk Island, Northern Mariana Islands, Norway, Oman, Pakistan, Palau, Palestinian Territory, Occupied, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Pitcairn, Poland, Portugal, Puerto Rico, Qatar, Réunion, Romania, Russian Federation, Rwanda, Saint Barthélemy, Saint Helena, Ascension And Tristan Da Cunha, Saint Kitts And Nevis, Saint Lucia, Saint Martin (french Part), Saint Pierre And Miquelon, Saint Vincent And The Grenadines, Samoa, San Marino, Sao Tome And Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Georgia And The South Sandwich Islands, Spain, Sri Lanka, Sudan, Suriname, Svalbard And Jan Mayen, Swaziland, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Province Of China, Tajikistan, Tanzania, United Republic Of, Thailand, Timor-leste, Togo, Tokelau, Tonga, Trinidad And Tobago, Tunisia, Turkey, Turkmenistan, Turks And Caicos Islands, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States Minor Outlying Islands, Uruguay, Uzbekistan, Vanuatu, Venezuela, Bolivarian Republic Of, Viet Nam, Virgin Islands, British, Virgin Islands, U.s., Wallis And Futuna, Western Sahara, Yemen, Zambia, Zimbabwe
Posted
59 days ago
Salary
Not specified
Job Description
Role Description
We are building the most advanced AI Agent for the Web3 industry, leveraging the largest proprietary dataset in the field. We seek a core algorithm engineer to architect AI Agent systems, optimize end-to-end RAG pipelines, implement LLM training/alignment, and deploy scalable.
Core Responsibilities
- Develop AI Agent Systems: Build intelligent search and task execution agents using ReAct, planning, and multi-agent frameworks (e.g., LangGraph, Dify, CrewAI)
- Optimize End-to-End RAG Pipelines: Build and refine efficient RAG systems from ingestion, chunking, and embedding to hybrid vector search (OpenSearch), implementing precise grounding and citation
- LLM Training & Alignment: Conduct advanced post-training (SFT, RLHF, continual pretraining) and align models for reliable JSON-schema function calling and external tool usage
- Automated Evaluation & Iteration: Build offline/online evaluation pipelines using synthetic QA, retrieval metrics, and hallucination detection to continuously improve system performance and stability
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field
- 3+ years of experience developing AI systems, with a focus on RAG, Agent architectures, or LLM training/optimization
- Proficiency in Python and key ML frameworks (PyTorch/TensorFlow), with experience in distributed training and high-performance inference
-
Hands-on, in-depth experience in at least two of the following domains:
- End-to-end RAG pipeline development and optimization with OpenSearch/vector databases
- AI Agent framework development (LangGraph, CrewAI, ReAct)
- Advanced LLM training (SFT, RLHF, LoRA) and alignment techniques
- Excellent problem-solving and systems thinking skills. Passion for Web3 and AI is a plus
Key Outcomes
- Deliver a high-accuracy, low-latency AI Agent system to power intelligent Web3 applications
- Achieve continuous improvement in RAG retrieval accuracy and establish an automated evaluation and iteration loop
- Drive LLM performance optimization
Job Requirements
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field
- 3+ years of experience developing AI systems, with a focus on RAG, Agent architectures, or LLM training/optimization
- Proficiency in Python and key ML frameworks (PyTorch/TensorFlow), with experience in distributed training and high-performance inference
- Hands-on, in-depth experience in at least two of the following domains: End-to-end RAG pipeline development and optimization with OpenSearch/vector databases
- AI Agent framework development (LangGraph, CrewAI, ReAct)
- Advanced LLM training (SFT, RLHF, LoRA) and alignment techniques
- Excellent problem-solving and systems thinking skills. Passion for Web3 and AI is a plus
- Key Outcomes
- Deliver a high-accuracy, low-latency AI Agent system to power intelligent Web3 applications
- Achieve continuous improvement in RAG retrieval accuracy and establish an automated evaluation and iteration loop
- Drive LLM performance optimization
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