[Remote] Agentic AI Platform Engineer
Note: The job is a remote job and is open to candidates in USA. Kani Solutions Inc is seeking a skilled Agentic AI Platform Engineer to help build and scale a centralized agentic AI ecosystem. The role involves developing secure, scalable AI orchestration services and enabling reusable AI capabilities for engineering teams.ResponsibilitiesDevelop and maintain orchestration services using AWS Lambda, SQS, and event-driven architectures to manage AI agent workflowsBuild integrations with GitLab CI/CD pipelines, enabling AI-powered automation within build and deployment stagesCreate reusable serverless tools and shared service components that can be leveraged by multiple engineering teamsDesign and implement AI knowledge repositories using AWS Bedrock Knowledge Bases, OpenSearch, and S3 to improve contextual reasoning for AI agentsImplement governance and security controls including guardrails, sensitive-data filtering, access restrictions, and prompt validation mechanismsOptimize AI usage through model routing, semantic caching, token management, and cost-aware processing strategiesEstablish observability and monitoring standards using CloudWatch, centralized logging, tracing, and audit reporting for AI interactions and platform usageCollaborate with platform and engineering teams to improve extensibility, scalability, and developer experienceSkills3–7 years of professional software engineering experienceStrong proficiency in Python and AWS SDKs for building production-grade serverless applicationsHands-on experience with AWS services such as Lambda, API Gateway, SQS, EventBridge, IAM, Secrets Manager, and CloudWatchExperience working with Amazon Bedrock, including Agents, Action Groups, Knowledge Bases, and GuardrailsPractical experience integrating Large Language Model APIs such as Bedrock, OpenAI, Anthropic, or similar platformsGood understanding of CI/CD concepts and hands-on exposure to GitLab CI pipelinesStrong awareness of application security, including IAM best practices, secrets handling, prompt injection prevention, and secure AI workflow designExperience implementing logging, tracing, monitoring, and debugging solutions in distributed systemsExperience with vector databases, retrieval-augmented generation (RAG), embeddings, or OpenSearchFamiliarity with AI cost optimization strategies including semantic caching, inference routing, and token utilization trackingExperience building internal developer platforms, automation tooling, or reusable engineering frameworksExposure to agentic AI frameworks and orchestration patternsCompany OverviewKani Solutions is an Information Technology company specializing in web & mobile applications development and IT consulting & ITES. It was founded in 2009, and is headquartered in Cranbury, New Jersey, USA, with a workforce of 201-500 employees. Its website is https://kanisolutions.com.