Senior Gen AI Engineer – Freelancer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

💵 ₹1M - ₹6.5M / year

⏳ Contract/Temporary

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Weekday

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2002

👗 Fashion

🛒 Retail

🛍️ eCommerce

Fashion • Retail • eCommerce

Weekday is your everyday paradox wrapped in denim—unapologetic, unpredictable, and always evolving. Discover our full range of men’s and women’s fashion, from statement Weekday jeans and perfectly imperfect suiting to comfort-first underwear and bold pop culture-inspired graphic prints. Build your wardrobe with Astro jeans and chunky scuba pieces, ideal for creating relaxed yet modern outfits. Explore essential mini and maxi skirts, oversized shirts, short sleeve tops, and lightweight jackets—all available in muted tones and bold seasonal hues. Whether you're styling half-tucked tees or layered looks, Weekday offers statement pieces and versatile basics to fit your mood, your moment, and your everyday, embracing the many true expressions of youth.

📋 Description

• Design, develop, and implement scalable AI and Generative AI solutions aligned with business and product requirements • Build and productionize LLM-powered applications, intelligent automation systems, and AI-driven workflows • Partner directly with customers, product teams, and internal stakeholders as a Forward Deployment Engineer • Translate ambiguous business problems into practical AI architectures, prototypes, and production implementations • Develop, test, deploy, and optimize AI models and applications across cloud and enterprise environments • Integrate foundation models and LLM APIs into scalable applications, considering performance, reliability, security, and cost • Evaluate emerging Gen AI technologies, frameworks, and models for business use cases • Troubleshoot model and application issues and improve system quality, latency, scalability, and accuracy • Collaborate with software engineers, data scientists, product managers, and other stakeholders to deliver end-to-end AI solutions • Develop reusable components, APIs, tools, and frameworks that accelerate AI application deployment • Establish evaluation, monitoring, and testing approaches for AI and LLM-based systems • Stay current with Generative AI, LLMs, AI agents, model orchestration, and enterprise AI deployment

🎯 Requirements

• 5–13 years of experience in software engineering, Artificial Intelligence, Machine Learning, or related technical domains • Strong hands-on experience in AI and Generative AI application development • Solid understanding of Large Language Models (LLMs), foundation models, prompt engineering, model APIs, and AI application architecture • Proven experience taking AI solutions from prototype to production • Strong Forward Deployment Engineering mindset with the ability to work directly with users or customers and rapidly build solutions around their requirements • Strong programming and software engineering fundamentals • Experience designing scalable, reliable, and maintainable AI-powered systems • Ability to independently investigate technical problems and deliver solutions in ambiguous and rapidly changing environments • Strong communication and collaboration skills, particularly when working across technical and non-technical teams • Experience with LangChain or similar LLM orchestration frameworks • Hands-on experience building Agentic AI systems, autonomous workflows, or AI agents • Experience implementing Retrieval-Augmented Generation (RAG) pipelines • Knowledge of vector databases, embeddings, semantic search, and document processing • Familiarity with AI evaluation frameworks, observability, guardrails, and LLM application monitoring • Experience with cloud platforms and modern deployment practices such as Docker, Kubernetes, and CI/CD • Exposure to multi-agent architectures, tool calling, function calling, and workflow orchestration