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Build and optimize AI/ML models using Python, TensorFlow, and PyTorch, focusing on RAG, LangChain, and locally run AI with Ollama for production deployment.
Senior AI Engineer designs and deploys production-ready ML/LLM models, builds data pipelines, and mentors junior engineers for Devsinc’s client projects.
Build and fine-tune AI models using Python, TensorFlow/PyTorch, and cloud services like AWS Bedrock and Azure OpenAI to deliver industry-specific solutions.
Designs the architecture for self-learning AI agents and GenAI systems, focusing on orchestration, reasoning layers, and scalable production pipelines.
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to improve search, recommendations, and automation.
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to automate workflows and improve user experience.
Build and ship production-grade AI-powered applications end-to-end, blending full-stack engineering with applied AI (LLMs, RAG, agentic workflows) using Python, React, FastAPI, and cloud infrastructure.
Build and deploy production-grade agentic AI systems using Python/Java and React, orchestrating multi-agent workflows and retrieval pipelines while ensuring reliability and observability.
Build and ship production-ready AI-powered applications using Python, React, LLMs, and cloud infrastructure, turning prototypes into scalable tools that teams rely on daily.
Build and fine-tune production-grade LLM systems for banking users using Python, vLLM, and model evaluation in Jakarta.
DESKRIPSI PEKERJAAN We're Hiring: Software Development Manager! We're looking for a Software Development Manager who can lead our engineering team to build and scale the system — and drive the integration of AI…
Lead the design and development of custom AI applications and LLMs for government clients using Scale’s GenAI Platform, collaborating with engineers and stakeholders to deliver transformative solutions.
Lead the design and delivery of custom AI applications and LLMs for government clients using Scale's GenAI Platform, collaborating with engineers and stakeholders to build transformative solutions.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Lead backend engineering for an AI-native HR platform, building agentic systems that automate hiring, onboarding, and employee operations using Python, LLMs, and conversational AI.
Build and scale the core platform powering Flyboard’s AI voice agents, integrating top LLM and speech providers while ensuring reliability and performance under high load.
Build and deploy production-grade AI systems end-to-end, from data pipelines and ML models to scalable deployment and monitoring using Python, PyTorch, and MLOps tools.
Evaluate and improve frontier AI coding models by testing their outputs on real-world DevOps tasks like cloud deployments, Kubernetes, and CI/CD pipelines.
Build production-ready GenAI and agentic AI systems for global enterprises using Python, LLM APIs, and cloud platforms like AWS/Azure/GCP.
Build enterprise-grade GenAI applications and autonomous multi-agent systems using Python, LLM APIs, and vector databases, then deploy them to cloud platforms for Fortune 500 clients.
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