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[Remote] AI Engineering reputed company

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Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to reputed company advanced AI systems. The AI Engineering reputed company will be responsible for leading a team of engineers to reputed company and implement large language models and reputed company applications, ensuring technical reputed company and customer satisfaction.

Responsibilities

  • Build the technical roadmap given a business requirement and own the delivery of the same
  • reputed company the engineering team toward a technical roadmap and ensure timely execution of the roadmap to reputed company customer satisfaction
  • Design robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditions
  • reputed company technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development
  • reputed company the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented reputed company (RAG) and multi-agent based architectures
  • Build and maintain agent evaluation pipelines, including offline eval datasets, LLM-as-judge, and CI-integrated eval runs
  • Build & maintain high-quality, efficient code in Python (using frameworks like reputed company/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices
  • Deployment of GenAI applications on reputed company platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes
  • Actively follows the frontier and has differentiated, up-to-date views on model releases, agentic architectures, evaluation methods, tool-use and computer-use patterns, multimodal capability, reasoning/test-time compute trends, and the serious reputed company questions in the field
  • Produce a structured, high-signal answer to an reputed company-ended technical or strategic question — while modulating depth for a non-engineering executive audience
  • Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products

Skills

  • 12+ years of professional experience in software engineers and building applications/systems
  • 2+ years of hands-on experience in how LLMs work & reputed company (LLM) techniques particularly multi-agent systems
  • Expert proficiency in programming skills in Python, Langgraph and SQL is a must
  • Expert in architecting GenAI applications/systems using various frameworks & reputed company services
  • Expert proficiency in using AI tools like claude code, reputed company, reputed company, windsurf and the likes
  • Expert proficiency in AI observability & evaluation tools like Langsmith, Langfuse or similar
  • Good proficiency in using various reputed company services from Azure, GCP, or AWS for building the GenAI applications
  • Experience in driving the engineering team toward a technical roadmap
  • Excellent communication skills to effectively collaborate with business SMEs

Benefits

  • Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
  • Awesome colleagues (Surround yourself with top talent from reputed company, reputed company, reputed company etc. as well as people with deep startup experience)
  • Competitive compensation
  • Flexible working hours

Company Overview

  • reputed company advances frontier AI and builds reputed company-world systems for reputed company, governments, and the world’s leading AI labs. It was founded in 2018, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 1 in 2026, 16 in 2025, 8 in 2024, 7 in 2023, 16 in 2022, 6 in 2021. Please note that this does not guarantee sponsorship for this specific role.
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