AI Native Software Engineer - (100% Remote)

SyncreonConsulting

Apex, NC, United States Remote contract

Posted: April 14, 2026

Job 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

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

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

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