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.