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AI engineer (remote)

Freelancer CareerRemoteL6 LeadJuly 18th, 2026
AI Engineer (Remote)Bangalore, Karnataka, IndiaAbout the JobJob Title: AI EngineerRole OverviewWe are seeking an AI Engineer to design and deploy agentic AI systems powered by LLMs, with a strong focus on multi-agent orchestration, reasoning workflows, and production-grade AI platforms. This role emphasizes building autonomous, tool-using AI systems rather than traditional model development.Key Responsibilities:Agentic AI & Multi-Agent SystemsDesign and implement multi-agent architectures using LangGraphBuild stateful, tool-augmented agents capable of reasoning, planning, and executionDevelop agent orchestration patterns (planner-executor, supervisor, hierarchical agents)Implement memory systems (short-term, long-term, contextual memory)Enable cross-agent communication and coordinationLLM Applications & OrchestrationBuild production-grade LLM applications (RAG, agents, copilots)Integrate tools, APIs, and enterprise systems into agent workflowsDesign robust prompting, routing, and guardrailsOptimize workflows for latency, cost, and qualityPlatform & API DevelopmentDevelop reusable AI services, agent frameworks, and APIsContribute to AI platform capabilities (model routing, observability, guardrails)Cloud Deployment & Production SystemsDeploy agent-based systems on AWSUse Docker and Kubernetes for scalable deploymentsImplement monitoring and observability (LangSmith)Ensure systems are resilient and production-readyPerformance Optimization & EvaluationEvaluate agent performance across reasoning quality and task completionImprove workflows using feedback loops and tracingDiagnose and fix failure modes in multi-step pipelinesCollaboration & EnablementWork with product and engineering teams to build agentic workflowsGuide teams on best practices for agent designContribute to reusable patterns and frameworksQualifications & SkillsCore ExpertiseExperience building LLM-based systems (RAG, agents, copilots)Hands-on with LangGraph / LangChainExperience with multi-agent systemsStrong Python and backend development skillsAgentic & Systems ThinkingUnderstanding of agent design patterns, planning, memory, and tool useExperience integrating APIs and enterprise systemsAbility to debug multi-step reasoning pipelinesCloud & Production EngineeringExperience with AWS, Azure, or GCPFamiliarity with Docker and KubernetesUnderstanding of observability and performance optimizationNice to HaveExperience with AI gateways and model routingExposure to cost optimization and guardrailsFamiliarity with real-time or event-driven systemsWhat We're Looking ForEngineers focused on systems and workflows, not just modelsStrong bias toward production-ready AI applicationsPassion for agentic AI and next-gen architectures