Senior Agentic AI Engineer

Job not on LinkedIn

🔥 14 hours ago

🇮🇳 India – Remote

💵 ₹2.5M - ₹4.5M / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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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

• Architect and build scalable Generative AI and agentic AI applications end to end • Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems • Build intelligent AI agents using LangChain and LangGraph for NL-to-SQL, autonomous task agents, and RAG pipelines • Select, customize, fine-tune, and optimize state-of-the-art LLMs • Design and own full ML/GenAI pipelines, including training, deployment, monitoring, and lifecycle management • Build APIs, microservices, and integration frameworks to bring AI into enterprise products • Champion responsible AI practices by mitigating hallucinations, bias, and reliability risks • Partner directly with customers, product, and engineering to turn business needs into robust AI architecture • Mentor engineers and help shape the long-term AI platform strategy

🎯 Requirements

• 6+ years in traditional ML, including 2+ years hands-on with Generative AI • Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems • Real-world experience with LangChain/LangGraph or similar agentic frameworks • Strong Python skills — API wrappers, third-party integrations, internal tooling • Solid foundation in Transformers, CNNs, RNNs — hands-on with TensorFlow, PyTorch, Scikit-learn • Experience with NLP, embedding models, and vector databases • Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source models • Experience designing distributed, cloud-native architectures (microservices, REST APIs) • Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes • MLOps/LLMOps experience — training, deployment, monitoring, lifecycle management • Excellent communication skills — translate technical depth for non-technical stakeholders • Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field • Comfort with startup pace and strong ownership mentality • Preferred: LLM fine-tuning experience (LoRA, RLHF, PEFT) • Preferred: Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation) • Preferred: AI observability/monitoring tool experience • Preferred: Familiarity with AI governance and compliance (GDPR, SOC 2) • Preferred: Prior consulting or solution-architecture experience shipping enterprise AI products • Preferred: Background in financial services, healthcare, or insurance