AI NATIVE SOFTWARE ENGINEER

Role: AI NATIVE SOFTWARE ENGINEER

Location: NYC, New York (Hybrid)

Duration : 12-month contract with extension

Client : ACCENTURE

Overview

Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions.

MUST HAVES:

• AI
• RAG,LLM, MCP, ETC
• Any Programming Languauge
• Deployment into Production, Not Just POC

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 or 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 (Contractor-Specific)

• 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)

Thanks & Regards__________________________________
SandyEmail: [email protected]
Desk: 510-400-7029 Talent Acquisition Specialist
BRIDGENEXUS TECHNOLOGIES INC
41829 Albrae Street, Suite 112
Fremont, California 94538

Job Type: Contract

Pay: $52.68 - $80.00 per hour

Benefits:

• 401(k)
• Dental insurance

Application Question(s):

• Do you have 8–10+ years of professional software engineering experience?
• Have you built and deployed AI/LLM-based systems into production (not just PoCs)?
• Do you have hands-on experience with AI agents, RAG, or orchestration frameworks?
• Do you have experience designing and developing cloud-native applications?

Work Location: Hybrid remote in New York, NY 10040