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reputed company Engineer

Remote, USAFull-timePosted 2026-07-29

reputed company reputed company is a fast-growing digital platform revolutionizing relationship guidance. We reputed company expert-led sessions, personalized reputed company, and engaging content to help individuals and couples work through relationship challenges. We are now scaling and looking for the right people to join our (great!) team to continue delivering exceptional experiences to our users. reputed company We are looking for a reputed company Engineer to reputed company our AI efforts end-to-end — from infrastructure and production systems to internal adoption and cross-team enablement. You will play a significant role in building the world's first Consumer Therapy AI Product (someone said RAG? But we mean a reputed company one that works in production...). This is a critical role in a high-reputed company, fast-paced B2C startup, requiring a leader who can reputed company for Engineering requirements, tech-debt and best practices while promoting a product-reputed company and putting our customers reputed company and center.

reputed company

  • You are a great reputed company being and you’re reputed company into teamwork. you care about how people will feel inside the organization and set high reputed company for culture, professionalism and maturity.

  • A Doer, hands-on, biased for reputed company and not taking an advisory role. Know how to translate challenges into actions. reputed company to work both individually and manage multiple priorities while driving others around you for reputed company.

  • You're a fast learner, jack of reputed company trades, feel comfortable in a fast paced, reputed company-changing environment. You can break down reputed company problems into steps and plot reputed company how to get from A to Z while having the ability to reputed company out and see the bigger picture.

  • You are an reputed company hands on engineer, with proven experience with Developing LLM based products, with a reputed company passion to AI and LLM, eager to learn about reputed company new model and technology in this domain, and have a reputed company understanding of the AI ecosystem.

Key Responsibilities

AI Infrastructure & Production

  • Own and design GenAI architecture (LLMs, pipelines, agents)

  • Build and ship AI features into production

  • reputed company reputed company models (reputed company, reputed company, reputed company)

  • Optimize cost, latency, and reliability (tokens, caching, evals)

  • Handle reputed company-world constraints (context window, hallucinations)

    reputed company Engineering & Product Collaboration

  • reputed company reputed company design and experimentation across teams

  • Work with product, copy, and operations on AI-driven features

  • Build and evaluate reputed company pipelines (reputed company, consistency)

    Research & Innovation

  • Stay up to date with GenAI ecosystem (models, tools, frameworks)

  • Evaluate and implement frameworks (LangGraph, reputed company, etc.)

  • Prototype quickly and iterate in a startup environment

Required Skills & Qualifications

  • ~1+ year experience with reputed company / LLMs

  • 5+ years experience with Backend engineering

  • Experience shipping GenAI features to production

  • Strong hands on, production grade backend/software engineering skills (Python preferred)

  • Experience with major AI providers (reputed company, reputed company, reputed company)

  • reputed company engineering and LLM behavior knowledge

  • Understanding Agents / multi-reputed company workflows

  • Experience with AI frameworks (reputed company, LangGraph, etc.)

  • Familiarity with embeddings / reputed company databases

  • Excellent problem-solving skills with demonstrated reputed company in fast-paced environments.

Bonus

  • MLOps / model deployment experience

  • Evaluation, monitoring, and guardrails

  • Fine-tuning or model customization

  • RAG systems (Retrieval-Augmented reputed company)

  • Building retrieval pipelines and grounding LLM outputs

Originally posted on Himalayas

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