Senior AI Engineer
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Key skills for this role
About the Role
A privately held international investment group seeks a Senior AI Engineer to lead design and implementation of advanced AI-driven systems, focusing on LLMs, intelligent agent frameworks, and scalable AI infrastructure.
Key Skills for This Role
Responsibilities
- Design, develop, and optimize AI agent based systems for enterprise applications, including single agent and multi agent architectures
- Build intelligent agent frameworks leveraging LLMs for reasoning, planning, decision making, and task execution
- Implement advanced capabilities such as tool usage, memory systems, reflection mechanisms, and feedback loops
- Architect and maintain tool augmented AI systems capable of interacting with APIs, databases, search services, and external platforms
- Develop scalable pipelines and infrastructure supporting model orchestration, monitoring, evaluation, and operational performance
- Apply modern context management approaches to support reliable information flow, state persistence, and long horizon task execution
- Evaluate LLM behavior, latency, context limitations, and cost performance trade offs to inform architectural decisions
- Collaborate closely with engineering, product, and operational stakeholders to translate complex requirements into scalable AI solutions
- Stay informed on developments in AI agents, reasoning systems, LLM ecosystems, and AI infrastructure technologies
Requirements
- Hands on experience developing AI agent or LLM powered systems beyond basic conversational interfaces
- Expertise in designing agent architectures involving planning, orchestration, memory handling, tool integration, and multi agent coordination
- Strong understanding of LLM capabilities, limitations, inference behavior, and system level trade offs
- Experience working with modern AI orchestration frameworks or equivalent in house systems
- Strong analytical and problem solving skills within complex or ambiguous environments
- Comfortable building scalable, reliable, and production ready AI systems
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Statistics, or related discipline
- Experience with RAG, AI agents, and agentic reasoning systems
- Strong understanding of NLP concepts and methodologies
- Experience applying AI solutions within regulated or data intensive industries
Full Job Posting
Position Summary
- Seeking a highly skilled Senior AI Engineer to lead design and implementation of advanced AI driven systems and data workflows aligned with evolving business objectives.
Key Responsibilities
- Design, develop, and optimize AI agent based systems for enterprise applications, including both single agent and multi agent architectures
- Build intelligent agent frameworks leveraging LLMs for reasoning, planning, decision making, and task execution
- Implement advanced capabilities such as tool usage, memory systems, reflection mechanisms, and feedback loops
- Architect and maintain tool augmented AI systems capable of interacting with APIs, databases, search services, and external platforms
- Develop scalable pipelines and infrastructure supporting model orchestration, monitoring, evaluation, and operational performance
- Apply modern context management approaches to support reliable information flow, state persistence, and long horizon task execution
- Evaluate LLM behavior, latency, context limitations, and cost performance trade offs to inform architectural decisions
- Collaborate closely with engineering, product, and operational stakeholders to translate complex requirements into scalable AI solutions
- Stay informed on developments in AI agents, reasoning systems, LLM ecosystems, and AI infrastructure technologies
Candidate Profile
- Hands on experience developing AI agent or LLM powered systems beyond basic conversational interfaces
- Expertise in designing agent architectures involving planning, orchestration, memory handling, tool integration, and multi agent coordination
- Strong understanding of LLM capabilities, limitations, inference behavior, and system level trade offs
- Experience working with modern AI orchestration frameworks or equivalent in house systems
- Strong analytical and problem solving skills within complex or ambiguous environments
- Comfortable building scalable, reliable, and production ready AI systems
Preferred Qualifications
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related discipline
- Experience with technologies such as retrieval augmented generation (RAG), AI agents, and agentic reasoning systems
- Strong understanding of natural language processing (NLP) concepts and methodologies
- Experience applying AI solutions within regulated or data intensive industries would be advantageous
- Contributions to open source projects, technical publications, or research initiatives would be highly regarded
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