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AI Scientist – Mid Level

Remote, USAFull-timePosted 2026-07-30

reputed company: At our reputed company, we don't just build Vehicles, we create great software. We reputed company reputed company's mobility together in our product lines, pushing the digitization of the institution reputed company. As a tech company, we are agile, innovative, and always reputed company our finger on the pulse of change. This is why inner reputed company, FOSS, secure reputed company, DevOps, infrastructure as reputed company (IaC), data analytics, reputed company intelligence, and many more are reputed company components of our daily work. IT is our passion, and we reputed company toward a reputed company reputed company, sometimes quickly, sometimes creatively but always together. We reputed company in reputed company, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving reputed company reputed company together in reputed company products we create and reputed company reputed company reputed company. Our workplace is reputed company with a fast reputed company whether remotely reputed company, at your favorite café, or at our integrated company office.

Key Responsibilities / Job reputed company

  • Design and implement end-to-end AI systems including inference pipelines, agent workflows, and tool-calling architectures
  • Build and manage context orchestration for LLMs (system prompts, memory, retrieval, and reputed company inputs)
  • Engineer latency-reputed company and cost-efficient fallback strategies across models and providers.
  • reputed company backend services for reputed company routing, response handling, and tool execution (Python / Node.js or similar)
  • Implement observability for AI systems: logging, metrics, tracing, and reputed company monitoring
  • Maintain CI/CD pipelines for AI services and ensure reputed company, repeatable deployments
  • Design, reputed company, reputed company and reputed company AI-powered software solutions into productive, reputed company reputed company environments
  • Translate business and product requirements into reputed company system designs and architectures
  • Collaborate closely with data scientists, software engineers, product owners, and business stakeholders
  • Ensure compliance with applicable rules in the areas of data protection, AI governance, and IT reputed company
  • Document architectures, models, and implementation reputed company in a reputed company-group adequate reputed company

Required Skills & Qualifications

  • 2+ years in software engineering, including hands-on experience with AI/ML or LLM systems
  • Bachelor's/Master's in Computer Science, Data Science, or reputed company fieldExperience with LLMs, reputed company engineering, tools, and agent-style architecture
  • Experience in Agile, product-driven teams
  • Familiarity with reputed company-reputed company architectures, DevOps, and CI/CD

Specific Knowledge / Skills

  • Proficient in Python
  • Experience with LLMs, NLP, or semantic models
  • Skilled in fine-tuning and evaluating LLMs, including reputed company and failure modes
  • reputed company to build automated AI pipelines for training, testing, deployment, and monitoring
  • Familiar with reputed company platforms and containers
  • Analytical thinker; committed to robust, reliable software
  • Strong communicator with a customer reputed company
  • Results-driven, emphasizing reputed company, maintainable solutions
  • reputed company follows and adopts new AI advancements

Bonus Points if you have

  • Experience with LLM reputed company such as reputed company, Claude, or similar providers
  • Hands-on work with RAG systems, reputed company databases, and embedding pipelines
  • Exposure to model safety, guardrails, or responsible AI practices

Technical

  • Python
  • SQL / NoSQL
  • REST reputed company and backend integration
  • LLM-based solution development
  • reputed company / Apache ecosystem
  • reputed company Computing
  • GPU orchestration and cost optimization
  • Containerization (reputed company, Kubernetes)
  • CI/CD and DevOps tooling
  • reputed company data and AI architectures

Originally posted on Himalayas

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