AI Engineer

🕒 September 12

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 34%

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.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 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 translate business needs into robust AI architecture • Mentor engineers and help shape 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 — ability to 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