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YesterdaySaved
In-Office
Hanoi, VNM
Mid level
Mid level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Design and build production-grade generative AI systems, including LLM architectures, fine-tuning pipelines, evaluations, RAG, and multi-agent integrations. Optimize models for latency, throughput, token efficiency, cost, and reliability. Deploy secure AWS-native solutions, implement monitoring and guardrails, translate client requirements into model strategies, and contribute production code, design reviews, reusable patterns, and technical knowledge sharing.
Top Skills: Amazon BedrockAmazon EcsAmazon EksAmazon OpensearchAPIsAWSAws LambdaContinual Pre-Training (Cpt)DockerFaissGenerative AiKubernetesLlmsLoraMilvusMulti-Agent SystemsPineconePythonQloraRetrieval-Augmented Generation (Rag)Supervised Fine-Tuning (Sft)TransformersVector DatabasesWeaviate
YesterdaySaved
In-Office
Bangkok, Phra Nakhon, Bangkok, THA
Mid level
Mid level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Design and build production-grade generative AI systems, including fine-tuned LLMs, RAG pipelines, and multi-agent architectures. Develop evaluation, monitoring, safety, and observability pipelines; optimize model latency, throughput, token usage, and cost; and deploy secure enterprise solutions on AWS. Translate client requirements into model strategies, contribute to architecture and integration patterns, review code and designs, and deliver reusable engineering assets for regulated-industry engagements.
Top Skills: Ai Safety And GuardrailsAmazon BedrockAmazon EcsAmazon EksAmazon OpensearchAPIsAWSAws LambdaCptDockerFaissGenerative AiKubernetesLlm Evaluation PipelinesLlmsLoraMilvusModel MonitoringPineconePrompt VersioningPythonQloraRetrieval-Augmented Generation (Rag)SftTransformer ArchitecturesVector DatabasesWeaviate
YesterdaySaved
Remote
Paya Lebar, SGP
Mid level
Mid level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Designs and builds production-grade generative AI systems, including LLM architectures, fine-tuning pipelines, evaluations, RAG and multi-agent integrations. Optimizes models for latency, throughput, token efficiency, reliability, and cost. The role also develops enterprise integration, governance, monitoring, safety, and deployment patterns on AWS, while translating client requirements into model strategies and contributing hands-on production code, design reviews, and reusable engineering practices.
Top Skills: Ai GuardrailsAmazon BedrockAmazon EcsAmazon EksAmazon OpensearchAWSAws LambdaContinual Pre-Training (Cpt)DockerFaissGenerative AiKubernetesLlm ObservabilityLlmsLoraMilvusModel EvaluationMulti-Agent SystemsPineconePythonQloraRetrieval-Augmented Generation (Rag)Supervised Fine-Tuning (Sft)Transformer ArchitecturesVector DatabasesWeaviate
YesterdaySaved
In-Office
Sydney, New South Wales, AUS
Mid level
Mid level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Design and build production-grade generative AI systems, including LLM architectures, fine-tuning pipelines, model evaluations, RAG systems, and multi-agent integrations. Optimize models for latency, throughput, token efficiency, and cost while implementing monitoring, guardrails, rollback, and enterprise security patterns. Translate client requirements into model strategies, contribute production code and design reviews, and collaborate across engineering, data, product, and client teams.
Top Skills: Amazon BedrockAmazon EcsAmazon EksAWSAws LambdaCptDockerFaissKubernetesLlmsLoraMilvusMulti-Agent ArchitecturesOpensearchPineconePythonQloraRagSftTransformer ArchitecturesWeaviate
YesterdaySaved
In-Office
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
Mid level
Mid level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Design and build production-grade generative AI systems, including LLM architectures, fine-tuning workflows, evaluation pipelines, RAG systems, and multi-agent integrations. Optimize models for latency, throughput, token efficiency, reliability, and cost. Deploy secure AWS-native solutions, establish monitoring and governance patterns, translate client requirements into model strategies, and contribute production-quality code, design reviews, reusable engineering practices, and client-facing delivery.
Top Skills: Amazon BedrockAmazon EcsAmazon EksAmazon OpensearchAWSAws LambdaContinual Pre-Training (Cpt)DockerFaissGenerative AiKubernetesLlmsLoraMilvusMulti-Agent ArchitecturesPineconePythonQloraRetrieval-Augmented Generation (Rag)Supervised Fine-Tuning (Sft)Transformer ArchitecturesWeaviate
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YesterdaySaved
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Mid level
Mid level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Design and build production-grade generative AI systems, including LLM architectures, fine-tuning pipelines, evaluations, RAG systems, and multi-agent integrations. Optimize models for latency, throughput, token efficiency, reliability, and cost. Deploy secure enterprise solutions on AWS, implement monitoring and guardrails, translate client requirements into model strategies, and contribute hands-on production code, design reviews, and reusable engineering practices.
Top Skills: Amazon BedrockAmazon EcsAmazon EksAmazon Opensearch ServiceAWSAws LambdaContinual Pre-Training (Cpt)DockerFaissGenerative AiKubernetesLlmsLoraMilvusMulti-Agent ArchitecturesPineconePythonQloraRetrieval-Augmented Generation (Rag)Supervised Fine-Tuning (Sft)Transformer ArchitecturesWeaviate
YesterdaySaved
In-Office
Makati, Fourth District NCR, National Capital Region, PHL
Mid level
Mid level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Design and build production-grade generative AI systems, including LLM architectures, fine-tuning pipelines, RAG systems, model evaluations, and multi-agent integrations. Optimize models for latency, throughput, token efficiency, reliability, and cost. Deploy secure enterprise solutions on AWS, implement monitoring and guardrails, translate client requirements into model strategies, and contribute production-quality code, design reviews, and reusable engineering practices.
Top Skills: Amazon BedrockAmazon EcsAmazon EksAmazon OpensearchAPIsAWSAws LambdaContinual Pre-Training (Cpt)DockerFaissKubernetesLlmsLoraMilvusMulti-Agent SystemsPineconePythonQloraRetrieval-Augmented Generation (Rag)Supervised Fine-Tuning (Sft)Transformer ArchitecturesVector DatabasesWeaviate
13 Days AgoSaved
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Senior level
Senior level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Own the design and production hardening of a low-latency, highly concurrent voice pipeline. Build WebRTC, WebSocket, gRPC, RTP, CTI, and telephony integrations; architect scalable AWS session infrastructure; optimize STT/TTS latency; and implement VAD, endpointing, jitter buffering, packet-loss handling, and barge-in. The role supports thousands of concurrent enterprise sessions and requires end-to-end ownership from architecture through production deployment.
Top Skills: Avaya AesAWSC++CiscoEksElasticacheG.711 Μ-Law/A-LawGenesysGoGrpcGstreamerIceJanusKubernetesLivekitLlm OrchestrationMediasoupOpusPythonRedisRtpRustSipSttStunTerraformTtsTurnWebrtcWebsockets
15 Days AgoSaved
In-Office
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
Entry level
Entry level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Lead data and AI strategy initiatives, develop client solutions, translate business needs into actionable roadmaps, and drive measurable business transformation outcomes.
Top Skills: Artificial IntelligenceData
Reposted One Month AgoSaved
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
Senior level
Senior level
Artificial Intelligence • Information Technology • Consulting • Big Data Analytics
Design, build, evaluate, and operate production agentic AI systems on AWS and the OBZ Neo platform for regulated enterprises. Implement multi-agent orchestration, RAG pipelines, tooling, MCP servers, human-in-the-loop workflows, and integrations. Define evaluation metrics, practice DevSecOps, ensure security/compliance, and deliver reusable IP and runbooks while collaborating with client teams.
Top Skills: AnthropicAWSCi/CdCrewaiGoIamInfrastructure As CodeJavaLangchainLanggraphMcp ServerNeo PlatformObservabilityPrompt EngineeringPythonRagSecrets ManagementTypescriptVector Databases
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