Title:Senior AI Native Software Engineer (Agentic AI)
Duration:1 Year Contract
Location:Remote withup to20% travel required (travel will be reimbursed)
Number of Openings:15-20
Rate:only candidates who are eligible for W-2.
Full Job Details
We are looking for multiple AI Native Software Engineers to support our clients growing AI practice!
What You Must Have
- 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)
What Wed Like You to Have
- 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
Responsibilities Will Include
- 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:
Agentic AIAIRAGLLM
Title:Senior AI Native Software Engineer (Agentic AI) Duration:1 Year Contract Location:Remote withup to20% travel required (travel will be reimbursed) Number of Openings:15-20 Rate:only candidates who are eligible for W-2. Full Job Details We are looking for multiple AI Native Software Engineers t...
Title:Senior AI Native Software Engineer (Agentic AI)
Duration:1 Year Contract
Location:Remote withup to20% travel required (travel will be reimbursed)
Number of Openings:15-20
Rate:only candidates who are eligible for W-2.
Full Job Details
We are looking for multiple AI Native Software Engineers to support our clients growing AI practice!
What You Must Have
- 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)
What Wed Like You to Have
- 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
Responsibilities Will Include
- 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:
Agentic AIAIRAGLLM
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