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Dallas, TX · On-site
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Dallas, TX · On-site
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Jamaica, NY · On-site
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Sunnyside, NY · On-site
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Sunnyside, NY · On-site
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Glen Ridge, NJ · On-site
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Glen Ridge, NJ · On-site
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Wood Ridge, NJ · On-site
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Wood Ridge, NJ · On-site
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Staten Island, NY · On-site
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Staten Island, NY · On-site
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Verona, NJ · On-site
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Verona, NJ · On-site
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Wallington, NJ · On-site
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AI/LLM Engineer
Wallington, NJ · On-site
We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate ...
We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate ...
We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate ...
AI/LLM Engineer
Demarest, NJ · On-site
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AI/LLM Engineer
Demarest, NJ · On-site
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AI/LLM Engineer
Secaucus, NJ · On-site
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AI/LLM Engineer
Secaucus, NJ · On-site
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Staten Island, NY · On-site
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Staten Island, NY · On-site
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AI/LLM Engineer
Yonkers, NY • On-site
2T Consulting •
IT Services • 51 - 200 employees51 - 200 employees
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
We are seeking a highly skilled AI/LLM Engineer to design, develop, and deploy intelligent agent-based systems capable of reasoning, planning, and executing tasks autonomously. The ideal candidate will have strong Python engineering skills, hands-on experience with modern AI agent frameworks, and experience integrating LLM solutions with enterprise data platforms.
Roles and ResponsibilitiesAgent & AI System Development
- Design and develop AI agent systems using LangChain, LangGraph, or similar frameworks.
- Build intelligent components capable of reasoning, planning, and autonomous task execution.
- Implement agentic patterns such as ReAct (Reasoning + Acting).
- Develop multi-step LLM workflows and agent orchestration.
LLM Capabilities & Enhancements
- Implement memory, tool usage, context management, and MCP capabilities.
- Develop solutions using tool calling, chaining, and workflow orchestration.
- Work with prompt engineering teams to improve LLM response quality and performance.
- Optimize LLM applications for scalability, reliability, and cost.
Software Engineering
- Develop high-quality, scalable, and maintainable Python applications, including asynchronous programming.
- Build and maintain APIs and microservices for AI and agent-based applications.
- Integrate AI services with enterprise applications and backend systems.
- Develop production-ready solutions with appropriate testing, monitoring, and error handling.
Guardrails & Responsible AI
- Design and implement guardrails and safety mechanisms for LLM-powered applications.
- Handle edge cases, failures, hallucinations, and unintended model outputs.
- Implement appropriate validation, security, and access controls for AI systems.
Data & Platform Integration
- Integrate AI solutions with modern data platforms, including Snowflake and Databricks.
- Work with Lakehouse architectures and enterprise data pipelines.
- Enable LLM applications to securely access and leverage enterprise data.
- Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.
- 5+ years of experience in software engineering, AI/ML engineering, or a related field.
- Strong hands-on experience with Python and asynchronous programming.
- Experience building LLM and generative AI applications.
- Strong experience with LangChain, LangGraph, or similar agent frameworks.
- Understanding of AI agents, ReAct, tool calling, memory, context management, and MCP.
- Experience developing REST APIs and microservices.
- Experience integrating AI applications with Snowflake, Databricks, or Lakehouse platforms.
- Strong understanding of scalable, production-ready software architectures.
- Knowledge of LLM guardrails, responsible AI, security, and failure handling.
- Strong problem-solving, communication, and collaboration skills.
- Experience with multi-agent systems and agent orchestration.
- Knowledge of vector databases and RAG architectures.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with LLM observability, evaluation, and performance optimization.
- Experience deploying AI applications in enterprise production environments.
About 2T Consulting
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Edison, NJ, US