AI Native Software Engineer - (Remote) - 50 to 70% Travel is Mandatory

Apex, North Carolina, United StatesRemoteTemporaryPosted 1 month agoVisa sponsorship available

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Role summary

We are seeking an AI Native Software Engineer to join our team. This role involves designing, building, and deploying AI/LLM-based systems in production, including AI agents, RAG, and orchestration workflows. You will integrate with AI providers, develop scalable cloud-native services using microservices, containers, and serverless patterns, and implement CI/CD pipelines and infrastructure as code. The position requires strong proficiency in Python or Java, experience with cloud-native systems, and hands-on experience with AI platforms like OpenAI, Claude, or Vertex AI. This is a remote role with mandatory travel of 50-70%.

Company Description

We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies

Job Description

Required Skills & Experience

8–10+ years of software engineering experience
Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
Proficiency in Python, Java, or similar backend languages
Experience with:
CI/CD pipelines
Infrastructure as code
Monitoring and observability tools
Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)

AI Agent Engineering

Design and implement AI agents, including:
Retrieval (RAG)
Orchestration workflows
Tool/function invocation
Policy-based routing
Build evaluation frameworks for accuracy, latency, and reliability
Implement observability and monitoring for agent lifecycle.

AI Platform Integration

Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)
Build abstraction layers to support multi-model and multi-provider architectures
Optimize model usage for performance, cost, and latency

Cloud-Native Development

Develop scalable services using:
Microservices architecture
Containers (Docker, Kubernetes)
Serverless and event-driven patterns
Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)
Ensure production readiness, logging, monitoring, and fault tolerance

Application Development

Build and deploy AI-powered applications aligned to business workflows
Integrate AI systems into existing enterprise platforms and APIs
Develop backend services and APIs supporting agent workflows

Testing & Performance

Define and execute test strategies for AI systems
Measure system performance (latency, throughput, accuracy, cost)
Debug and optimize production systems.

Regards,

Mohammed ilyas,

PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis, com

Additional Information

All your information will be kept confidential according to EEO guidelines.

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