Remote- AI Native Software Engineer- only w2

Title: AI Native Software Engineer

Duration: 12 Months

Job description:

Responsibilities:

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

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)

Preferred Experience

Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)Experience designing multi-agent or distributed AI systems

Familiarity with enterprise-scale system integration

Experience optimizing AI workloads for cost and performance

Scope & Expectations

100% hands-on engineering role (no people management)Deliver production-quality code and deployments

Work within existing architecture and engineering standards

Collaborate with client and internal engineering teams as needed

Participate in technical design discussions (implementation-focused)