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Build and deploy AI agents to automate internal workflows, boosting productivity and reducing operational costs across teams like Sales, Marketing, and Engineering using LLMs and agent frameworks.
Forward-deployed data scientist at Air, whose AI-native platform serves government/defense readiness: you embed with government clients, translate vague defense-acquisition problems into AI requirements, and rapidly prototype and deploy production AI and agentic systems end to end. Requires U.S. citizenship; Arlington VA, Pittsburgh PA, or remote, with up to 50% travel.
Forward Deployed Senior Data Scientist building and deploying AI/ML systems (LLMs, agentic systems) for defense and government clients, working end-to-end from research prototypes to production-grade platforms.
Lead a team building AI agents that automate complex workflows for U.S. government agencies using LLMs, agent frameworks, and cloud tools.
Owns the AI/ML roadmap for Air’s Enterprise Readiness platform, defining features that automate decisions and integrate models into workflows for government and industrial users.
Lead a team building AI-driven simulation and optimization systems for defense clients, applying advanced techniques like Monte Carlo and stochastic optimization to turn data into mission-critical insights.
Build and productionize NLP models and LLMs to transform unstructured text into features for classification and improve search in a government-focused AI platform.
Senior AI Engineer focusing on AI security, researching red‑team attacks, building automated evaluation frameworks, and hardening production AI infrastructure using Python, Kubernetes and cloud services (AWS/GCP/Azure).
Build secure, governed AI agent systems that autonomously author and verify code changes with full audit trails, working in a hybrid role at Jamf.
Senior Software Engineer in Dublin (hybrid) at Fulcrum Digital, supporting a client engagement with a global payments technology company. Day to day you lead team-level system design and hands-on development of scalable, cloud-native analytics services and data pipelines using Java/Spring Boot, TypeScript/React, Databricks/Spark, and AWS/Azure.
Senior full-stack engineer at Fulcrum Digital in Mexico City who architects, builds, and ships agentic, AI-powered services and cloud-native platform capabilities end to end. Core stack: Java and Python backends, React/Next.js frontends, Kubernetes on AWS/Azure, with LLM orchestration and AI-enabled SDLC practices.
Hands-on senior Java/Python engineer at Fulcrum Digital in Mexico City building AI-agentic applications and developer-productivity platforms: agent orchestration, LLM/RAG patterns, CI/CD automation, and cloud-native services on Kubernetes with AWS/Azure.
Senior AI Engineer in Dublin (hybrid) building production-grade LLM, RAG, and agentic AI systems for a global payments-technology client engagement. Day to day: leading AI service design and hands-on coding with Java/Spring Boot, Databricks/Spark, and frameworks like LangChain and LlamaIndex.
Senior SDET owning end-to-end quality for Fulcrum Digital's agentic, LLM-powered products: designing automation frameworks for UI, API, and integration testing (Playwright, Java/Python), building CI/CD quality gates, and validating AI workflows, reliability, and performance onsite in Mexico City.
Site Reliability Engineer based in Mexico City (hybrid) who owns production environment health end to end: building monitoring and alerting with Splunk and Dynatrace, responding to incidents with root cause analysis and rotational on-call, supporting CI/CD pipelines, and driving automation to cut MTTR. Works with a global team across multiple time zones.
QA Engineer (8–10 years experience) ensuring quality of an underwriting and AI platform in Pune: defining test strategy, running manual and automated functional, regression and API tests, building automation suites with Selenium/Cypress/Playwright, validating AI outputs, and tracking defects in JIRA.
Mid-to-senior QA engineer (8-10 years) who ensures quality of Fulcrum Digital's underwriting and AI platform through structured manual testing: defining test strategy and cases, running functional, integration, regression and API tests, validating AI/agent outputs, and tracking defects in JIRA. Core skills: manual and API testing (Postman/REST), automation frameworks (Selenium/Cypress/Playwright),
Digifloat is hiring a Computer Vision Engineer in Islamabad to design, build, and deploy deep learning models for image and video tasks such as object detection, segmentation, OCR, and facial recognition. Core stack includes Python, PyTorch/TensorFlow/Keras, and OpenCV, with production deployment and model optimization.
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.
Senior Data Scientist builds and deploys machine learning models for fraud detection, risk scoring, and credit decisioning, handling the full model lifecycle from data exploration to production monitoring, using Python, SQL and ML frameworks like scikit‑learn, XGBoost, PyTorch or TensorFlow.
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