Role: Expert AI developer
Work Location: NYC.
Preference is given to local candidates who can appear for in person interview.
Job Summary:
We are seeking an innovative and experienced AI Engineer to lead the development of advanced AI systems focusing on agentic AI and Retrieval-Augmented Generation (RAG). The ideal candidate will possess strong expertise in AI model architecture natural language processing machine learning and AI agent design to create autonomous intelligent systems.
Key Responsibilities:
- Design develop and optimize agentic AI systems capable of autonomous decision-making and goal-oriented behaviors.
- Implement retrieval-augmented generation techniques to enhance AI responses with external knowledge bases.
- Develop scalable AI models and pipelines for complex tasks involving NLP reasoning and knowledge integration.
- Explore and incorporate latest advances in AI reinforcement learning and agentic architectures.
- Collaborate with cross-functional teams including data scientists engineers and product managers to deploy AI solutions.
- Conduct research to stay at the forefront of agentic AI RAG and related AI methodologies.
- Evaluate and improve model performance through experimentation and rigorous testing.
- Ensure AI systems adhere to ethical guidelines safety standards and data privacy regulations.
Required Skills and Qualifications:
- Proven experience in AI/ML model development particularly in NLP RAG and agent-based systems.
- Strong knowledge of transformer architectures knowledge retrieval techniques and reinforcement learning.
- Hands-on experience with frameworks such as PyTorch TensorFlow or similar.
- Familiarity with knowledge graph construction semantic search and information retrieval.
- Strong programming skills in Python and familiarity with cloud AI deployment.
- Excellent problem-solving analytical and communication skills.
Preferred Qualifications:
- Advanced degree (Masters or PhD) in Computer Science AI or related fields.
- Published research or contributions in AI NLP or agentic AI areas.
- Experience with large language models and generative AI.
- Knowledge of safety alignment and ethics in AI development.
Role: Expert AI developer Work Location: NYC. Preference is given to local candidates who can appear for in person interview. Job Summary: We are seeking an innovative and experienced AI Engineer to lead the development of advanced AI systems focusing on agentic AI and Retrieval-Augmented Genera...
Role: Expert AI developer
Work Location: NYC.
Preference is given to local candidates who can appear for in person interview.
Job Summary:
We are seeking an innovative and experienced AI Engineer to lead the development of advanced AI systems focusing on agentic AI and Retrieval-Augmented Generation (RAG). The ideal candidate will possess strong expertise in AI model architecture natural language processing machine learning and AI agent design to create autonomous intelligent systems.
Key Responsibilities:
- Design develop and optimize agentic AI systems capable of autonomous decision-making and goal-oriented behaviors.
- Implement retrieval-augmented generation techniques to enhance AI responses with external knowledge bases.
- Develop scalable AI models and pipelines for complex tasks involving NLP reasoning and knowledge integration.
- Explore and incorporate latest advances in AI reinforcement learning and agentic architectures.
- Collaborate with cross-functional teams including data scientists engineers and product managers to deploy AI solutions.
- Conduct research to stay at the forefront of agentic AI RAG and related AI methodologies.
- Evaluate and improve model performance through experimentation and rigorous testing.
- Ensure AI systems adhere to ethical guidelines safety standards and data privacy regulations.
Required Skills and Qualifications:
- Proven experience in AI/ML model development particularly in NLP RAG and agent-based systems.
- Strong knowledge of transformer architectures knowledge retrieval techniques and reinforcement learning.
- Hands-on experience with frameworks such as PyTorch TensorFlow or similar.
- Familiarity with knowledge graph construction semantic search and information retrieval.
- Strong programming skills in Python and familiarity with cloud AI deployment.
- Excellent problem-solving analytical and communication skills.
Preferred Qualifications:
- Advanced degree (Masters or PhD) in Computer Science AI or related fields.
- Published research or contributions in AI NLP or agentic AI areas.
- Experience with large language models and generative AI.
- Knowledge of safety alignment and ethics in AI development.
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