What are the responsibilities and job description for the Remote- AI Native Software Engineer- only w2 position at INFT Solutions inc?
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)