Role Description We're looking for a Lead AI Developer to define and build the AI capabilities that will shape the future of IXOPAY. This is a greenfield leadership role with broad technical ownership. You'll lead the design and delivery of AI-powered products while embedding AI across our engineering organization—from intelligent developer tooling to customer-facing agents and autonomous payment workflows. Working closely with Product and Engineering, you'll establish our AI architecture, guide technical direction, and help build the team that delivers the next generation of AI-driven payment technology. What You'll Do - Design, build, and deploy production-ready AI agents and multi-agent systems. - Define the architecture for AI-powered products, including retrieval, memory, orchestration, and human-in-the-loop workflows. - Develop evaluation frameworks to measure quality, reliability, safety, latency, and overall model performance. - Implement AI guardrails, observability, and monitoring to ensure secure and responsible AI deployments. - Build intelligent workflows that automate onboarding, payment optimization, fraud detection, and operational decision-making. - Partner with Product and Engineering teams to identify high-impact AI opportunities across the platform. - Lead AI delivery from concept through production, balancing innovation, quality, scalability, and cost. - Mentor engineers, establish engineering standards, and help grow IXOPAY's AI capability. Qualifications - Extensive software engineering experience, with significant hands-on experience building production AI, machine learning, or agentic AI systems. - Proven experience deploying LLM-powered applications used by real customers at production scale. - Strong Python development skills with a focus on clean, maintainable, and well-tested code. - Experience designing evaluation frameworks for AI systems, including quality measurement, regression testing, and model validation. - Experience building AI agents using modern frameworks such as LangGraph, LangChain, or similar technologies. - Strong understanding of retrieval-augmented generation (RAG), vector search, prompt engineering, and agent orchestration. - Experience implementing AI safety practices, including guardrails, prompt injection protection, and human oversight. - Familiarity with cloud AI platforms such as AWS Bedrock, Azure AI Foundry, or Google Vertex AI. - Excellent communication skills and the ability to lead technical direction across cross-functional teams. Preferred - Experience in payments, FinTech, or other regulated industries. - Experience scaling AI platforms or engineering teams in a fast-growing environment. - Familiarity with LLM observability tools such as LangSmith, LangFuse, or Arize. - Experience with fine-tuning strategies and understanding when they provide value over retrieval-based approaches. - Contributions to open-source AI or machine learning projects. Our AI Stack - Foundation models including Claude via cloud AI platforms - LangGraph, LangChain, and the Model Context Protocol (MCP) - AWS Bedrock and Azure AI Foundry - Python and TypeScript - Vector databases and modern RAG architectures - LangSmith, LangFuse, Arize, and Datadog for evaluation and observability Benefits - Competitive salary and benefits - Professional growth and leadership opportunities - A collaborative, international engineering culture - The opportunity to build an AI function from the ground up US Benefits Include - Medical, Dental, and Vision Insurance - Flexible Spending Account (FSA) and Health Savings Account (HSA) - Employer-paid Life, AD&D, Short-Term Disability, and Long-Term Disability Insurance - Unlimited Paid Time Off and Paid Holidays - 401(k) Plan with Employer Match Our Commitment to Inclusion We know great candidates don't always meet every qualification. If you're excited about this opportunity, we encourage you to apply—we'd love to hear what you can bring to IXOPAY. Equal Opportunity Employer: IXOPAY is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable law. IXOPAY participates in E-Verify.

Role Description We invite a skilled AI Engineer to join our team in building GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments. In this role, you’ll help design and optimize pipelines that detect and track actionable safety events in high-volume video streams. You’ll work on real-world systems that make an impact, collaborating with engineering and product teams to deliver reliable, high-performance solutions. Qualifications - 7+ years of software engineering experience with strong backend skills - 3+ years of experience shipping computer vision solutions to production - Strong Python proficiency - Experience with OpenCV, PyTorch, async I/O frameworks, and API integrations - Hands-on experience with YOLO/Ultralytics or similar object detection frameworks - Experience detecting, labeling, and tracking objects in video - Solid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation - Experience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning) - Ability to communicate and collaborate effectively with engineering and product teams - Upper-Intermediate+ English level Requirements - Experience with Azure Event Hub, Blob Storage, Application Insights, or similar (desirable) - Familiarity with Docker, cloud deployments, and production monitoring systems (desirable) - Experience in temporal/sequence analysis for event detection (desirable) - Experience with video analytics in safety, compliance, or industrial/transportation environments (desirable) Key Responsibilities - Develop and maintain robust backend solutions that process video data and deliver actionable insights using pre-trained computer vision models. - Develop and optimize GPU-accelerated video inference pipelines for real-time processing. - Implement, evaluate, and improve object detection models (YOLO or similar). - Build temporal smoothing and tracking logic for safety event detection. - Optimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools. - Build and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services. - Add metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs. - Collaborate on dataset curation, labeling, model training, validation, and experiment tracking. - Support containerized deployments (Docker) and assist with monitoring and scaling production workload. Next Steps - Submit a CV in English - Intro call with a Recruiter - Internal interview - Client interview - Offer

Role Description Ciklum is looking for an Expert Agentic AI Engineer to join our team full-time in the UK. As an Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: - Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models. - Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots. - Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines. - Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines. - [Expert Level Focus] Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members. Qualifications - 5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments. - Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels. - Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio). - Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution. - Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face). - Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML). - Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. - A formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred. Benefits - Strong community: Work alongside top professionals in a friendly, open-door environment. - Growth focus: Take on large-scale projects with a global impact and expand your expertise. - Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications. - Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies. - Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans. Company Description At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast—inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.

Title: Senior AI Engineer Location: Rockville, MD Alexandria, VA Full time job requisition id R-00186145 Job Description: Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Join Leidos' all-star team supporting the Defense Intelligence Agency's Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level. As a Senior AI Engineer, you will: - Support the development and operationalization of AI and agentic AI systems in production mission environments. - Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms. - Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. - Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment. - Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA). What You Bring: - Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree. - 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master's). - Active Top Secret clearance and eligibility for TS/SCI with Polygraph. - Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms. - Track record of creative problem solving, active learning, and mission-focused outcomes. - Experience with the following: - AI/ML production engineering - LLMOps / MLOps - RAG architectures - AI orchestration frameworks - Kubernetes-based AI deployments - OpenAI-compatible APIs - Python development - GPU inference optimization Preferred Qualifications: - Experience supporting military or intelligence community customers. - Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing). - Familiarity with the following technologies - LangGraph - Semantic Kernel - vLLM - Ollama - Ray - NVIDIA GPU ecosystems - Vector databases If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.