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Showing 10 jobs
Skills:
Java, Machine Learning, C++, Version Control, Testing, Deep Learning, Tensorflow, Computer Vision, Pytorch, Opencv, Keras, Code Review, Python, reinforcement learning, Deployment
Skills:
S3, Node.js, Kafka, Datadog, Redshift, Code, React, Typescript, Sqs, Postgres, Spark, Kubernetes on AWS, Debezium, Codex, Claude, GitLab CI, Knative, MCP
Skills:
Databases, API design, Cloud Infrastructure, Containers, sandbox runtimes, tool-use orchestration, AI tooling, evaluation harnesses, internal libraries, eval pipelines, model gateways, LLM APIs, platform services, developer CLIs, prompt management, MCP integrations, agent architectures
Skills:
Data Science, Web Application Development, Containerization and orchestration, Agentic AI frameworks, AI techniques, Automated build, Agile delivery methodologies, test and deployment pipelines, Agentic AI engineering, Cloud computing platforms and services
Skills:
Power Bi, Tableau, Excel, AI tools, Webhook API, HiBob, MCP
Skills:
Web Application Development, Data Science, Database Design, Agentic AI frameworks, AI techniques, Agile delivery methodologies, containerisation and orchestration, cloud computing platforms, automated build test and deployment pipelines
Skills:
Java, Distributed Systems, Python, middleware, IDE extensions, AI Agents, Memory, Go, AI Coding tools, Llm, multimodal RAG, CLI-based assistants, common databases, AI Agent, Prompt Engineering
Skills:
Python, Java, Rust, Devops, Distributed Systems, AI Agents, Go, AI evaluation, AI observability, task scheduling, build systems, cloud-native technologies, artifact repositories, storage computing, Messaging, Caching, reliability engineering, RAG tool, observability, software supply chain security
Skills:
Sql, Rest Api, Backend Development, Nosql, Django, Gcp, Docker, Chatbot, Flask, FastAPI, Azure, Python, AWS, LangChain, Generative AI, CI CD, Llm, Embeddings, Vector Database, RAG, Prompt Engineering, LlamaIndex
Skills:
data preparation , model selection , probability , Retrieval-Augmented Generation (RAG) systems, Large Language Models (LLMs), Tensorflow, Deep Learning, Git, Pytorch, Machine Learning, Python, Agents, Reasoning patterns, Optimization, Feature engineering, Production performance considerations, linear algebra, Maintainable code, Orchestration frameworks, Testing strategies
