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

Required Skills & Experience

810 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 - or Text - or you can share the updated resume at com

Additional Information :

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

Remote Work :

Yes

Employment Type :

Contract