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Position Overview Uniqus’ Finance Operations practice works as a trusted advisor to CFOs, COOs, CIOs, and key executives. F&P helps shape the evolving CFO agenda to leverage deep expertise and innovative…
Job Description At MegazoneCloud, we help the world’s most innovative companies adopt AI that actually delivers — not pilots that stall, but production systems that get used. As an AI Forward Deployed Engineer (FDE) ,…
A QA engineer with 3-7 years of experience who validates AI-powered applications day to day: designing manual and automated test plans, checking LLM outputs for accuracy, hallucinations and bias, and running API and performance testing. Core stack includes Selenium, Java/Python, TestNG/JUnit, Postman/Rest Assured, Git and JIRA in an Agile team.
QA engineer covering end-to-end testing of IVR/voice-bot systems: designing manual test cases while building and prompting AI agents to autonomously generate and execute tests. Requires Java/Node.js automation skills, IVR/telephony testing experience, and conversational spoken French, with defect tracking in JIRA/Azure DevOps.
Infoya is hiring a QA Automation Engineer (3-7 years) in Navalur, India to test AI-powered applications: designing test plans, running manual, automated, API and performance tests, and validating LLM outputs for accuracy, hallucinations and bias. Core stack: Selenium, Java/Python, TestNG/JUnit, Postman/Rest Assured, SQL, Git and JIRA.
Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the…
Lead AI/ML team to design, develop, and deliver enterprise‑scale AI solutions, overseeing strategy, project management, MLOps, and generative AI implementations while mentoring engineers and collaborating with stakeholders.
Design, build, and operationalize enterprise AI solutions using Microsoft Copilot, OpenAI, Anthropic and other Generative AI tools, integrating them with Microsoft 365 and other enterprise systems while collaborating with business stakeholders and ensuring responsible AI governance.
Senior AI Engineer building enterprise‑scale agentic and generative AI solutions for banking, including conversational AI, document intelligence, multimodal pipelines, and RAG platforms on Microsoft Azure using Python, FastAPI, Docker, and Azure services.
A junior-to-intermediate engineer on the Voice AI team who starts by owning feature testing and QA for Voice AI products built on platforms like ElevenLabs, Twilio, and Amazon Connect, with a growth path into a Forward Deployed Engineer role configuring and deploying AI solutions directly with customers.
Key Responsibilities Develop persona-driven, high-impact content across various formats, including: Technical blogs, white papers, solution briefs, and articles Use-case explainers, tutorials, case studies, and how-to…
Senior Forward Deployed AI Engineer who works with enterprise clients to design, deploy, and scale AI‑powered workflows using Anthropic's Claude, ServiceNow, and cloud platforms, handling full‑stack development, integrations, prompt engineering, RAG, and responsible AI controls.
Data Engineer at AllCloud joining the development team for a core data warehouse project and AI initiatives: ingesting large volumes of data, building and optimizing large-scale data pipelines in cloud and on-prem environments, and analyzing data alongside Data Scientists. Core stack includes Python, Spark, dbt, Airflow/Kubeflow, Docker/Kubernetes and AWS data services.
The Company CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the…
Builds AI-driven agentic systems that process structured/unstructured data, enabling autonomous reasoning, search, and workflow execution using LLMs, RAG pipelines, and semantic search.
Senior engineer builds AI-powered threat-detection features on Censys’s internet-scale platform, using LLMs, RAG, and vector search to surface malicious infrastructure for SOC teams.
Lead the architectural design and implementation of an enterprise data warehouse on AWS, creating robust data pipelines and infrastructure using services like Redshift, Glue, Athena, EMR, and supporting BI and AI solutions while mentoring the data engineering team.
Build and maintain secure Java microservices and cloud-native tools using Go, Kubernetes, and CI/CD pipelines while adhering to OWASP principles and secure coding practices.
Senior backend Java developer joining an AI integrations team that enables AI solutions for a major consumer-sector client on Google Cloud (agents, LLM APIs, RAG, cloud architectures). Hybrid role based in Alcobendas (Madrid) with 2 office days per week; stack centers on Java 17+, Spring, microservices, Docker, and Kafka.
Contract-to-hire Senior Machine Learning Engineer II building production-scale Agentic AI and multi-agent systems with LLMs, RAG architectures, vector search, and Python, including evaluation, observability, and guardrails. Fully remote role placed by TEKsystems, based out of Raleigh, NC.
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