What are the responsibilities and job description for the Sr Agentic Software Engineer position at Jobs via Dice?
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Role - Sr Agentic Software Engineer
Location - Charlotte, NC (3–4 Days Onsite)
Visa - TN
JD:
We have an urgent requirement for a Sr Agentic Software Engineer for a contract-to-hire role. Looking for strong, seasoned engineers with solid coding fundamentals and hands-on AI experience.
5 years of software engineering experience (backend/systems preferred)
Strong coding skills in Python / Golang / TypeScript
Hands-on experience building LLM-powered applications beyond prototypes
Experience with Agentic AI systems (agents, workflows, multi-step execution)
Experience with frameworks like LangChain, LangGraph, Semantic Kernel, AutoGen
Strong knowledge of RAG (Retrieval Augmented Generation) and tool integrations
Experience building APIs, microservices, and distributed systems
Experience with Kubernetes, CI/CD, GitOps, and Infrastructure as Code (IaC)
Strong understanding of observability, logging, evaluation, and system reliability
Responsibilities:
Design and build production-grade AI agent systems
Develop agents with planning, memory, and tool usage
Integrate AI systems with backend services and enterprise platforms
Build evaluation pipelines and improve system performance
Ensure scalability, security, and reliability of AI solutions
Collaborate with cross-functional teams
Important Notes:
Must have genuine LinkedIn (no fake/recent profiles)
Visa copy required f/EAD
Full education details required
3 Video Interviews Glider Test
Email:
Role - Sr Agentic Software Engineer
Location - Charlotte, NC (3–4 Days Onsite)
Visa - TN
JD:
We have an urgent requirement for a Sr Agentic Software Engineer for a contract-to-hire role. Looking for strong, seasoned engineers with solid coding fundamentals and hands-on AI experience.
5 years of software engineering experience (backend/systems preferred)
Strong coding skills in Python / Golang / TypeScript
Hands-on experience building LLM-powered applications beyond prototypes
Experience with Agentic AI systems (agents, workflows, multi-step execution)
Experience with frameworks like LangChain, LangGraph, Semantic Kernel, AutoGen
Strong knowledge of RAG (Retrieval Augmented Generation) and tool integrations
Experience building APIs, microservices, and distributed systems
Experience with Kubernetes, CI/CD, GitOps, and Infrastructure as Code (IaC)
Strong understanding of observability, logging, evaluation, and system reliability
Responsibilities:
Design and build production-grade AI agent systems
Develop agents with planning, memory, and tool usage
Integrate AI systems with backend services and enterprise platforms
Build evaluation pipelines and improve system performance
Ensure scalability, security, and reliability of AI solutions
Collaborate with cross-functional teams
Important Notes:
Must have genuine LinkedIn (no fake/recent profiles)
Visa copy required f/EAD
Full education details required
3 Video Interviews Glider Test
Email: