Develop production-grade agentic and generative AI applications using LLMs, RAG, vector databases, AI agent frameworks, prompt engineering, REST APIs, and cloud AI platforms. Build AI copilots, conversational AI, multi-agent systems, and knowledge management solutions for enterprise applications.
? Hiring Alert | Agentic AI / Generative AI Engineer ?
? Location: Hyderabad / Mumbai / Chennai
? Role: Agentic AI / Generative AI Engineer
? Experience: 7+ Years
? CTC: Up to ₹28 LPA (Fixed)
? Work Mode: Work From Office
⏳ Notice Period: Serving Notice Candidates (July/August Joiners Only)
We are looking for an experienced Agentic AI / Generative AI Engineer with strong expertise in LLMs, AI Agents, RAG, and enterprise-grade Generative AI application development.
Requirements
• Strong Python development experience
• Hands-on experience with LLMs (GPT, Claude, Gemini, Llama, Mistral)
• Expertise in Agentic AI frameworks (LangGraph, CrewAI, AutoGen, LangChain, Semantic Kernel)
• Experience building RAG (Retrieval-Augmented Generation) solutions
• Hands-on experience with Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS, Milvus, etc.)
• Prompt Engineering and LLM optimization
• REST API integration with enterprise applications
• Experience with Azure OpenAI, AWS Bedrock, or similar cloud AI platforms
• Production deployment of GenAI applications
• AI Copilots, Conversational AI, Multi-Agent Systems, and Knowledge Management solutions
Similar Jobs
Information Technology • Consulting
Design, develop, and deploy production-grade generative AI and agentic systems, including RAG pipelines, autonomous agents, prompt architectures, and enterprise integrations. Build solutions using LangChain, LangGraph, vector databases, cloud services, APIs, and DevOps tooling. Advise stakeholders, document and monitor AI applications, mitigate technical and security risks, modernize RPA assets, and mentor junior developers.
Top Skills:
Amazon DynamodbAutomation AnywhereAws LambdaAzureBlue PrismC#ChromadbCi/CdClaudeGitGitGithub ActionsJavaScriptJenkinsLangchainLanggraphOpenai ApiPythonRagRest ApisRpaSemantic SearchSplunkSQLUipathVector DatabasesWebhooks
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop scalable platforms and services for Mastercard’s Priceless Platform. Responsibilities include writing and reviewing code, collaborating with product and design teams, implementing automated testing and CI/CD, building cloud-native systems, communicating with stakeholders, and improving quality, reliability, security, and technical debt. The role requires expertise in software engineering, distributed systems, APIs, microservices, cloud platforms, and agile product development.
Top Skills:
AgileAPIsAWSAzureC#Ci/CdDevOpsDistributed SystemsEvent-Driven ArchitectureGoGCPJavaMicroservicesPHPPythonReactive SystemsTypescript
Artificial Intelligence • Edtech • Mobile • Natural Language Processing • Productivity • Software
Own and scale Quillbot’s global affiliate program, including partner recruitment, onboarding, contracts, commissions, tracking, support, quality control, and performance optimization. Analyze partner, cohort, geographic, CAC, ROAS, LTV, fraud, and ROI data; manage budgets; run incentive and conversion experiments; and collaborate with Creative, Product, Data, Engineering, Finance, and Legal to improve attribution, compliance, and revenue growth.
Top Skills:
Affiliate Management PlatformsAttribution TrackingDashboardsFraud Detection SystemsImpactPartnerstack
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.



.png)