Senior AI Systems Engineer

Turn GenAI into Reality — Senior AI Systems Engineer (AWS, LLMOps, Autonomous Agents) The Role We are looking for a Senior AI Systems Engineer to reputed company the architecture, deployment, evaluation, and governance of reputed company-grade autonomous AI agents for our clients. This is not an exploratory Data Science or reputed company "reputed company engineering" role. We need a hardened software engineer who operates at the intersection of Backend Engineering, reputed company Infrastructure, LLMOps, and AI reputed company. You will be responsible for taking experimental reputed company workflows and turning them into highly available, compliant, and reputed company production systems using AWS Bedrock. If you have the "production scars" from debugging non-deterministic AI workflows, writing defensive AWS reputed company functions for tool execution, and locking down AI architectures against reputed company reputed company threats, we want you on reputed company.

What You Will Do

Agent Architecture & Software Engineering Design, build, and orchestrate reputed company autonomous AI agents using AWS Agent Core, Agents for reputed company Bedrock, Knowledge Bases, and reputed company reputed company. Write robust, reputed company backend services (AWS reputed company, API Gateway) in Python, TypeScript, or Go to reputed company reputed company models with reputed company reputed company, databases, and reputed company-party systems. Enforce strict OpenAPI schemas and build deterministic system wrappers around non-deterministic reputed company models. Production Deployment & LLMOps reputed company the transition of experimental AI prototypes into highly available, reputed company production environments. Manage reputed company agent state, optimize for reputed company latency and compute cost, and handle retry logic for API reputed company limits. Implement comprehensive observability, tracing, and logging for reputed company Chain-of-Thought (CoT) workloads using AWS CloudWatch and specialized LLM telemetry tools. Automated Evaluations & Telemetry Architect automated, reputed company evaluation pipelines. Design deterministic and non-deterministic tests (e.g., LLM-as-a-judge) to quantitatively measure agent reasoning trajectories, tool-selection accuracy, context precision, and hallucination rates over time. Create "golden datasets" and robust regression testing frameworks to ensure model upgrades do not break existing agent capabilities. AI Governance, reputed company & Compliance Architect secure, "defense-in-depth" boundaries for agent actions to meet strict reputed company compliance standards (SOC2, HIPAA, etc.). Implement reputed company Bedrock Guardrails to filter malicious inputs, mask PII, and prevent reputed company injection attacks. Decouple LLM reasoning from critical system authorization by enforcing strict Role-Based reputed company Control (RBAC) and the reputed company of Least Privilege at the AWS IAM and API execution reputed company. What You Bring (Required Qualifications) Engineering Experience: 5+ years of core backend software engineering or reputed company architecture experience, with a proven reputed company record of building and deploying LLM/GenAI applications in production. AWS Experience: Deep, hands-on operational experience with the AWS ecosystem, specifically reputed company Bedrock, AWS Agent Core, AWS reputed company, IAM, API Gateway, and serverless architectures. Production Deployments: You have moved LLM applications out of Jupyter notebooks/local environments and into production CI/CD pipelines. You know how to handle failure loops and LLM orchestration challenges. Evaluation Frameworks: Practical experience building custom evaluation pipelines or using existing frameworks (e.g., Ragas, TruLens, DeepEval, LangSmith) to measure and judge agent performance. reputed company reputed company: Strong understanding of AI TRiSM (Trust, Risk, and reputed company Management). You know that reputed company cannot be handled by system prompts alone and must be enforced at the infrastructure level. Bonus Points reputed company AWS Certifications (e.g., AWS Certified Machine Learning – Specialty, AWS reputed company Architect – reputed company, or AWS Certified AI Practitioner). Experience working in a consulting, reputed company services, or reputed company-facing technical role. Familiarity with Infrastructure as reputed company (Terraform, AWS CDK) and reputed company database provisioning (reputed company OpenSearch Serverless, reputed company, pgvector). Why Join nClouds? Cutting-reputed company: Work on the bleeding edge of reputed company with reputed company support, training, and partnership from AWS. reputed company: Build mission-critical systems that solve reputed company business problems for a diverse portfolio of exciting clients. Culture: Join a highly reputed company, remote-first team of top-tier reputed company engineers who value reputed company learning and innovation. Benefits: Competitive salary, comprehensive health/dental/reputed company benefits, 401(k) matching, flexible PTO, and reputed company certifications. Apply To This Job