- Description Set by HubSpot to determine if the browser has been restarted during a session. This cookie helps to distinguish new sessions from existing ones.- Description The main tracking cookie by HubSpot. It contains the domain, user token, initial timestamp, last timestamp, and session count. Used for visitor analytics and tracking repeat visits.- Description Supporting cookie used by HubSpot to identify sessions and users. May be created during form submissions or when interacting with analytics scripts.- Description Description is currently not available.- Description This cookie, set by Cloudflare, is used to support Cloudflare Bot Management.- Description HubSpot sets this cookie to keep track of sessions and to determine if HubSpot should increment the session number and timestamps in the \_\_hstc cookie.- Description Calendly sets this cookie to track users across sessions to optimize user experience by maintaining session consistency and providing personalized services- Description CookieYes sets this cookie to remember users' consent preferences so that their preferences are respected on subsequent visits to this site. It does not collect or store any personal information about the site visitors.- Description LinkedIn sets this cookie from LinkedIn share buttons and ad tags to recognize browser IDs.- Description Google Tag Manager sets the cookie to experiment advertisement efficiency of websites using their services.- Description Google Analytics sets this cookie to store and count page views.- Description Google Analytics sets this cookie to calculate visitor, session and campaign data and track site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognise unique visitors.- Description HubSpot sets this cookie to keep track of the visitors to the website. This cookie is passed to HubSpot on form submission and used when deduplicating contacts.- Description- Description LinkedIn sets the lidc cookie to facilitate data center selection.# Senior AI/ML EngineerHybrid,RemoteUkraineWe are initiating an agentic development project for a FinTech client and seeking a Senior AI Engineer to take an active role in architecting, building, and scaling sophisticated automation systems.In this position, you will collaborate closely with our engineering team and client stakeholders to design, implement, and deploy agent-driven workflows powered by advanced language models, ensuring automation of critical business operations with a strong emphasis on reliability, security, and regulatory compliance.This role places a significant emphasis on performance optimization: identifying bottlenecks, minimizing latency, and enhancing throughput and cost-effectiveness across all components—from model and API interactions, retrieval processes, orchestration layers, and tool integrations to infrastructure. The ideal candidate excels in navigating uncertain technical challenges, recommending practical architectural solutions, and rapidly moving from proof-of-concept to robust production systems, all while maintaining rigorous monitoring and evaluation standards.## **Requirements:*** Strong proficiency in Python, experience with web frameworks like FastAPI or similar* Understanding of the AI application development lifecycle* Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks* Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Amazon Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)* Knowledge of advanced AI integration patterns (e.g., RAG, Agents)* Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability* Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods* Proven experience in AI engineering and delivering ML-based solutions* Strong problem-solving skills and attention to detail* Excellent communication, collaboration, and interpersonal skills* At least Upper Intermediate English level## **Responsibilities:*** Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows* Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions* Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models (Will be +)* Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (Will be +)* Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions* Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes## **What we offer:*** Annual paid vacation of 18 working days.* Extra vacation days for long-lasting cooperation.* Annual paid sick leave of 10 days.* Maternity/Paternity leave.* The opportunity for sabbatical leave.* Marriage and Parenthood Package.* Compensation for sports activities or health insurance covering (up to 250$ per year) — after the trial period.* Career development plan.* English and Spanish classes.* Paying taxes and managing PE (Private Entrepreneur).* Technical equipment.* Internal Referral program.* Opportunity to take part in company volunteering activities.* Sombra is a “Friendly to Veterans” award-holder.#J-18808-Ljbffr
Senior Ai/Ml Engineer
SOMBRA INC.
Remote, Remote
Publicado hace 10 días
Denunciar empleo