Senior AI Engineer

Weekday (YC W21)

Senior AI Engineer leading the design and deployment of AI-powered applications leveraging advanced models and cloud technologies for Weekday's client.

Posted 6/13/2026full-timeGurugram • 🇮🇳 IndiaSenior💰 ₹1,200,000 - ₹2,500,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsJavaKubernetesMicroservicesPythonRedis

About the role

Key responsibilities & impact

Lead the design, development, and deployment of advanced AI-powered applications leveraging Large Language Models (LLMs), Agentic AI frameworks, and cloud-native technologies.
Play a key role in architecting and delivering next-generation AI solutions, including multi-agent systems, Retrieval-Augmented Generation (RAG) platforms, intelligent automation workflows, and enterprise-grade GenAI applications.
Work closely with product managers, data engineers, architects, and business stakeholders to transform business requirements into innovative AI-driven solutions.
Establish best practices for AI application architecture, development, testing, and deployment.
Monitor AI applications for latency, accuracy, scalability, and cost efficiency.
Collaborate closely with engineering, product, and business teams throughout project lifecycles.
Mentor team members and share best practices across AI engineering initiatives.

Requirements

What you’ll need

6–9 years of experience in Software Engineering, AI Engineering, Machine Learning, or related technical domains.
Strong proficiency in Python and working knowledge of Java.
Hands-on experience building AI and Generative AI applications using modern AI frameworks.
Strong expertise in Agentic AI frameworks and Agent-to-Agent (A2A) architectures.
Experience implementing MCP protocol integrations and multi-agent communication systems.
Deep understanding of Large Language Models (LLMs), prompt engineering, and context engineering.
Proven experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
Expertise in vector embeddings, semantic search, and knowledge retrieval systems.
Strong experience with Microsoft Azure Cloud and cloud-native application development.
Familiarity with Azure AI services, vector databases, Redis, Cosmos DB, and related technologies.
Experience building scalable distributed systems and microservices architectures.
Understanding of cloud-native design principles, scalability, and performance optimization.
Knowledge of containerization, Kubernetes, CI/CD, and MLOps practices is advantageous.
Familiarity with AI governance, security, observability, and responsible AI principles.
Strong analytical, problem-solving, and architectural thinking abilities.
Excellent communication and stakeholder management skills.
Ability to work independently while driving innovation in a fast-paced, technology-driven environment.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Weekday (YC W21) Website LinkedIn All Job Openings 11 - 50 employees Founded 2021 ☁️ SaaS 🎯 Recruiter Human Resources
SaaS
Recruitment 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. Senior AI Engineer 🔥 35 minutes ago 🏢🏡 Gurugram – Hybrid 💵 ₹1.2M - ₹2.5M / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer Azure Cloud Distributed Systems Java Kubernetes Microservices Python Redis Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Lead the design, development, and deployment of advanced AI-powered applications leveraging Large Language Models (LLMs), Agentic AI frameworks, and cloud-native technologies.
Play a key role in architecting and delivering next-generation AI solutions, including multi-agent systems, Retrieval-Augmented Generation (RAG) platforms, intelligent automation workflows, and enterprise-grade GenAI applications.
Work closely with product managers, data engineers, architects, and business stakeholders to transform business requirements into innovative AI-driven solutions.
Establish best practices for AI application architecture, development, testing, and deployment.
Monitor AI applications for latency, accuracy, scalability, and cost efficiency.
Collaborate closely with engineering, product, and business teams throughout project lifecycles.
Mentor team members and share best practices across AI engineering initiatives. 🎯 Requirements
6–9 years of experience in Software Engineering, AI Engineering, Machine Learning, or related technical domains.
Strong proficiency in Python and working knowledge of Java.
Hands-on experience building AI and Generative AI applications using modern AI frameworks.
Strong expertise in Agentic AI frameworks and Agent-to-Agent (A2A) architectures.
Experience implementing MCP protocol integrations and multi-agent communication systems.
Deep understanding of Large Language Models (LLMs), prompt engineering, and context engineering.
Proven experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
Expertise in vector embeddings, semantic search, and knowledge retrieval systems.
Strong experience with Microsoft Azure Cloud and cloud-native application development.
Familiarity with Azure AI services, vector databases, Redis, Cosmos DB, and related technologies.
Experience building scalable distributed systems and microservices architectures.
Understanding of cloud-native design principles, scalability, and performance optimization.
Knowledge of containerization, Kubernetes, CI/CD, and MLOps practices is advantageous.
Familiarity with AI governance, security, observability, and responsible AI principles.
Strong analytical, problem-solving, and architectural thinking abilities.
Excellent communication and stakeholder management skills.
Ability to work independently while driving innovation in a fast-paced, technology-driven environment. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI Engineer 🕒 Yesterday EXL 10,000+ employees Website LinkedIn All Job Openings AI Engineer designing and optimizing workflows for intelligent automation in insurance processes. Collaborating with teams to deliver AI solutions that enhance operational efficiency. 🏢🏡 Gurugram – Hybrid 💰 $2M Venture Round on 2015-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AI Engineer – Retail, CPG Domain 🕒 Yesterday EXL 10,000+ employees Website LinkedIn All Job Openings AI Engineer leading BI migration initiatives and developing data solutions for improved analytics. Collaborating with teams to implement AI tools and optimize reporting processes. 🏢🏡 Gurugram – Hybrid 💰 $2M Venture Round on 2015-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Cloud ETL Google Cloud Platform Python SQL Agentic AI Engineer 🕒 3 days ago EXL 10,000+ employees Website LinkedIn All Job Openings Agentic AI Engineer designing and implementing AI agent systems for complex workflows and applications. Focusing on memory, caching layers, and integration with enterprise APIs in production environments. 🏢🏡 Gurugram – Hybrid 💰 $2M Venture Round on 2015-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Docker Google Cloud Platform Kubernetes Python React SQL AI Engineer 🕒 May 20 EXL 10,000+ employees Website LinkedIn All Job Openings AI Engineer designing and deploying AI-powered enterprise platforms utilizing GenAI capabilities, front-end and back-end engineering for automation in insurance workflows. 🏢🏡 Gurugram – Hybrid 💰 $2M Venture Round on 2015-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer ASP.NET Microservices Python PyTorch React Tensorflow .NET Agentic/AI Engineer – Claude, Code, LLM Skills 🕒 May 6 EXL 10,000+ employees Website LinkedIn All Job Openings 🏢🏡 Gurugram – Hybrid 💰 $2M Venture Round on 2015-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Cloud ETL Flask Google Cloud Platform Python View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

PythonJavaAI applicationsGenerative AIAgentic AI frameworksRetrieval-Augmented Generation (RAG)vector embeddingssemantic searchMicrosoft Azure Cloudcloud-native application development

Soft Skills

analytical skillsproblem-solvingarchitectural thinkingcommunicationstakeholder managementmentoringcollaborationindependenceinnovationadaptability