Company DescriptionWe provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologiesJob DescriptionRequired Skills & Experience8–10+ years of software engineering experienceStrong 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 languagesExperience with: CI/CD pipelines; Infrastructure as code; Monitoring and observability toolsHands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)AI Agent EngineeringDesign and implement AI agents, including: Retrieval (RAG); Orchestration workflows; Tool/function invocation; Policy-based routingBuild evaluation frameworks for accuracy, latency, and reliabilityImplement observability and monitoring for agent lifecycle.AI Platform IntegrationIntegrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)Build abstraction layers to support multi-model and multi-provider architecturesOptimize model usage for performance, cost, and latencyCloud-Native DevelopmentDevelop scalable services using: Microservices architecture; Containers (Docker, Kubernetes); Serverless and event-driven patternsImplement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)Ensure production readiness, logging, monitoring, and fault toleranceApplication DevelopmentBuild and deploy AI-powered applications aligned to business workflowsIntegrate AI systems into existing enterprise platforms and APIsDevelop backend services and APIs supporting agent workflowsTesting & PerformanceDefine and execute test strategies for AI systemsMeasure system performance (latency, throughput, accuracy, cost)Debug and optimize production systems.Additional InformationAll your information will be kept confidential according to EEO guidelines.