Senior Agentic AI Developer
We are seeking a Senior Agentic AI Developer to design, build, and deploy advanced autonomous AI systems capable of multi-step reasoning, tool usage, and dynamic decision-making. You will architect and implement scalable agent frameworks that integrate LLMs, APIs, external tools, and enterprise systems to automate complex workflows for datacenter operations.
This role requires deep expertise in modern AI systems, strong software engineering skills, and hands-on experience building production-grade AI agents.
Key Responsibilities
Design and implement agentic AI systems with planning, memory, and tool orchestration
Build and maintain multi-agent architectures for collaborative problem solving
Integrate LLMs with APIs, databases, vector stores, and enterprise platforms
Develop agent reasoning pipelines (ReAct, tree-of-thought, reflection loops, etc.)
Optimize prompt engineering, system instructions, and tool schemas
Ensure reliability, observability, and evaluation of AI agent outputs
Establish guardrails, safety constraints, and monitoring mechanisms
Collaborate with infrastructure teams to define AI strategy
Required Experience/Skills/Certs/Education:
Core AI & Agentic Systems
Strong experience with large language models (OpenAI, Anthropic, open-weight models)
Experience building agent frameworks using tools such as:
o LangGraph / LangChain, AutoGen, CrewAI
Custom agent orchestration systems
Deep understanding of Prompt engineering, Tool calling / function calling, Multi-agent coordination patterns
Experience with RAG pipelines and vector databases (e.g., Pinecone, Weaviate, FAISS)
Senior-level proficiency in Python and/or Powershell
Strong software architecture and system design skills
API integration
Monitoring & logging
Required Experience:
5+ years of professional software engineering experience
2+ years working with LLM-based systems or AI applications
Demonstrated experience building production AI agents (not just prototypes)
Experience collaborating with and mentoring peers
MUST BE A US CITIZEN
MUST BE ABLE TO OBTAIN AND MAINTAIN THE REQUIRED AGENCY CLEARANCE (PUBLIC TRUST)
Preferred Experience/Skills/Certifications/Education:
Strong architectural thinking and systems mindset
Ability to translate business problems into agent workflows
Clear communication of complex AI concepts to non-technical stakeholders
Ownership mentality and bias for action
Looking for an enthusiastic AI advocate to work with a tech-savvy operational team to introduce AI Ops capabilities.
Additional Provisions:
Pass both a client mandated clearance process to include drug screening, criminal history check and credit check.
All candidates must be a US Citizen
Candidate must have lived in the US for the past 5 years.
Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
This role requires deep expertise in modern AI systems, strong software engineering skills, and hands-on experience building production-grade AI agents.
Key Responsibilities
Design and implement agentic AI systems with planning, memory, and tool orchestration
Build and maintain multi-agent architectures for collaborative problem solving
Integrate LLMs with APIs, databases, vector stores, and enterprise platforms
Develop agent reasoning pipelines (ReAct, tree-of-thought, reflection loops, etc.)
Optimize prompt engineering, system instructions, and tool schemas
Ensure reliability, observability, and evaluation of AI agent outputs
Establish guardrails, safety constraints, and monitoring mechanisms
Collaborate with infrastructure teams to define AI strategy
Required Experience/Skills/Certs/Education:
Core AI & Agentic Systems
Strong experience with large language models (OpenAI, Anthropic, open-weight models)
Experience building agent frameworks using tools such as:
o LangGraph / LangChain, AutoGen, CrewAI
Custom agent orchestration systems
Deep understanding of Prompt engineering, Tool calling / function calling, Multi-agent coordination patterns
Experience with RAG pipelines and vector databases (e.g., Pinecone, Weaviate, FAISS)
Senior-level proficiency in Python and/or Powershell
Strong software architecture and system design skills
API integration
Monitoring & logging
Required Experience:
5+ years of professional software engineering experience
2+ years working with LLM-based systems or AI applications
Demonstrated experience building production AI agents (not just prototypes)
Experience collaborating with and mentoring peers
MUST BE A US CITIZEN
MUST BE ABLE TO OBTAIN AND MAINTAIN THE REQUIRED AGENCY CLEARANCE (PUBLIC TRUST)
Preferred Experience/Skills/Certifications/Education:
Strong architectural thinking and systems mindset
Ability to translate business problems into agent workflows
Clear communication of complex AI concepts to non-technical stakeholders
Ownership mentality and bias for action
Looking for an enthusiastic AI advocate to work with a tech-savvy operational team to introduce AI Ops capabilities.
Additional Provisions:
Pass both a client mandated clearance process to include drug screening, criminal history check and credit check.
All candidates must be a US Citizen
Candidate must have lived in the US for the past 5 years.
Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
