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Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, hands-on work with Gemini, Vertex AI and GCP, and strong Python and TypeScript skills. A Google Cloud certification such as the Professional Machine Learning Engineer is preferred and must be obtained within two months of starting.
Gemini Enterprise, Vertex AI, BigQuery, Google Agent Development Kit, React, Terraform
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, with recent hands-on work building LLM-based features. They need strong Python and TypeScript skills, React and backend experience, RAG and agent frameworks, and expertise in one major AI platform such as Google, Anthropic, or OpenAI, plus fluent professional English.
React, LangGraph, LangChain, Vertex AI, Claude Code, Gemini CLI
Nuclear Promise X
Candidates need hands-on experience shipping production AI and backend software, with strong Python skills and cloud experience. The posting asks for someone who can take an idea from design through to deployed systems.
Python, React, Next.js, Azure, Minio, Weaviate
Diligent Corporation
10+ YOECandidates need 10 to 15+ years of cloud engineering experience at Staff level, strong Python skills, AWS infrastructure-as-code experience, and hands-on work with LLMs, RAG and vector search. A Bachelor's, Master's or PhD in a related field is preferred.
AWS, OpenSearch, Elasticsearch, Python, Terraform, AWS CDK
Lovelytics: Lovelytics is a leading data, AI, and analytics consulting firm headquartered in Arlington, Virginia, with team members across the US, Canada,…
3+ YOECandidates need hands-on experience building LLM and retrieval-based AI solutions on Databricks, strong Python and software engineering skills, and a computer science degree or equivalent. Three to five years of experience with one to two years in GenAI projects is preferred.
Databricks, MLflow, Unity Catalog, Vector Search, Python, Git
MaintainX (An Autodesk Company): MaintainX is a technology company pioneering a next-generation approach to maintenance and asset management.
Candidates need hands-on experience building and operating production search systems with Elasticsearch, OpenSearch, Lucene, Solr or similar, including relevance tuning and cluster operations. They also need knowledge of embeddings, chunking and retrieval strategies, and expert-level spoken and written English.
Elasticsearch, OpenSearch, Lucene, Solr
Serotonin: Serotonin is a marketing firm and product studio for transformative technologies.
Candidates need strong Python skills, experience building REST and GraphQL integrations, and production full-stack work such as Next.js. They also need hands-on LLM API and agent orchestration experience, plus vector database and RAG knowledge.
Python, Next.js, Dune Analytics, LangGraph, CrewAI, GitHub
Guidepoint
6+ YOECandidates need 6+ years of backend software engineering experience with a Bachelor's degree, or 4+ years with a Master's, including production LLM and Generative AI work. Strong Python, cloud container deployment and experience with LLM evaluation and MLOps are required.
Databricks, Apache Spark, Azure Kubernetes Service, Docker, Kubernetes, Helm
Guidepoint
6+ YOECandidates need a bachelor's degree with 6+ years, or a master's degree with 4+ years, of backend and Generative AI engineering experience. They must have strong Python, cloud and container skills, and hands-on experience building LLM applications.
Databricks, Azure Kubernetes Service, Docker, Kubernetes, Helm, ArgoCD
Aduna Global: By combining network APIs from multiple operators globally under a unified platform based on the CAMARA open-source project, driven by the GSMA and…
5+ YOE5+ ans d'expérience en génie logiciel; Solides compétences en Python; Expérience d'une application LLM ou agentique en production
Python, Kubernetes, Terraform, Helm, ArgoCD, AWS
Censys: Delivering the most complete, accurate, and up-to-date global map of Internet infrastructure, Censys provides industry leading solutions for attack…
5+ YOECandidates need 5+ years of software engineering experience, including 2+ years building AI-powered user-facing features, and strong Python skills. They should know LLM evaluation methods, prompt engineering, responsible AI guardrails, and CI/CD for AI applications.
Python, RAGAS, LangSmith, CI/CD pipelines
Censys: Delivering the most complete, accurate, and up-to-date global map of Internet infrastructure, Censys provides industry leading solutions for attack…
5+ YOECandidates need 5+ years of software engineering experience, including 2+ years building AI-powered user-facing features, and strong Python skills. They should know LLM evaluation methods, prompt engineering, responsible AI guardrails, and CI/CD for AI applications.
Python, RAGAS, LangSmith, CI/CD pipelines
Tubi - Canada: As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest…
Tubi - Canada needs experience designing scalable distributed backend systems in a modern language, with Scala or JVM a plus. Candidates should have AWS experience, low-latency microservice experience, and skills with SQL and NoSQL databases, Kafka, Redis, Docker or Kubernetes, and leading major incident response.
Scala, AWS, Kafka, Redis, Docker, Kubernetes
Artefact North America: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, hands-on Google AI stack work (Gemini, Vertex AI) and strong Python and TypeScript skills. A Google Cloud certification such as Professional Machine Learning Engineer is strongly preferred, and must be obtained within 2 months if not held.
Gemini Enterprise, Vertex AI, BigQuery, Google ADK, LangGraph, LangChain
Artefact North America: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, with recent hands-on LLM development. They need strong Python and TypeScript skills, React, RAG and agentic framework experience, expertise on one major AI platform and cloud, and fluent English.
React, LangGraph, LangChain, Vertex AI, Claude Code, Cursor
BeyondTrust
4+ YOECandidates need 4+ years in a SOC, security operations or incident response role, plus experience with at least one SIEM and familiarity with EDR and cloud environments. Understanding of MITRE ATT&CK, network protocols and clear written communication are also required.
SIEM, EDR, CSPM, SOAR, Python, PowerShell
Klue
Candidates need several years of backend production experience, hands-on search or retrieval work, and experience with LLM-powered or agentic systems. Strong Python skills, cloud infrastructure experience and a customer-focused mindset are expected.
Python, PyTorch, Elasticsearch, Pinecone, PostgreSQL, Docker
TribalScale: Not a massive development shop, VC firm, or design agency.
Candidates need several years of production software experience, including AI or agentic systems. Strong JavaScript, Node.js, TypeScript and Python skills are required, along with cloud deployment, testing and clear communication with clients.
AWS, Microsoft Azure, Google Cloud, React, React Native, Node.js
Spellbook
5+ YOECandidates need 5+ years of production backend experience, strong distributed systems and MongoDB skills, and a pragmatic, self-directed approach to ambiguous problems. Strong written and verbal communication is required.
MongoDB, Docker, AWS, AWS CDK, Node.js, TypeScript
ClickHouse
7+ YOECandidates need 7+ years of software development experience, including hands-on work as a Data Scientist or ML Engineer. They must have built production Python connectors or integrations, applied AI/ML in production data engineering, and have strong SQL and OLAP database knowledge.
ClickHouse, Python, Pandas, NumPy, Pydantic, LangChain
18 companies