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
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provides systems safety engineering for aircraft turbine engines and auxiliary power systems. Conducts hazard and safety analyses, develops safety requirements and documentation, supports FAA and EASA compliance, performs reliability analysis, and reviews designs. Collaborates across engineering teams on risk mitigation, corrective actions, and aftermarket safety metrics. The role also supports process standardization, automation, AI application, technical coaching, innovation, and strategies to reduce certification cycle time and cost.
Top Skills:
Artificial IntelligenceDoorsDoors NgModel-Based Systems Engineering
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads embedded software and firmware development for processor simulators and emulators, including requirements, architecture, design, coding, qualification, and technical support. Develops QEMU and KVM-based tools, ports Linux or RTOS to SoCs, and works with ARM architectures and low-level hardware interfaces. Owns simulator strategy, roadmaps, issue resolution, design decisions, stakeholder collaboration, process improvement, and team mentoring while driving innovation and competitive product development.
Top Skills:
ArmAssemblyBitbucketCC++Do-178B/CDo-330DoorsEclipseEthernetGdbGpioKvmLauterbachLinuxMpsocPciQemuRtosSocSvnTrace32Visual Studio
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
