Generative AI Engineer

We are a Great Place To Work Certified in 10 countries where we have a full-time workforce - India, the USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia, and Thailand.\n\nJob Title: AI Agent Developer / Generative AI Engineer\nLocation: Noida (or as applicable)\nExperience: 7–9 Years\n\nJob Summary\nWe are seeking a highly skilled AI Agent Developer to design, develop, and deploy intelligent agentic systems powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience in building multi-agent architectures , working with cutting-edge frameworks, and developing scalable AI solutions using modern tools like LangChain and OpenAI SDKs.\n\nKey Responsibilities\nDesign and implement AI agents and multi-agent systems for complex, real-world use cases\nDevelop solutions using LLM-based architectures and integrate them into enterprise workflows\nBuild and optimize workflows using agentic AI frameworks (e.g., LangChain, OpenAI Agent SDK)\nImplement prompt engineering strategies , including prompt tuning and chaining techniques\nDesign and manage agent memory, context handling, and reasoning capabilities\nEvaluate LLM performance using evaluation methodologies and benchmarking techniques\nIntegrate AI models with cloud platforms such as Azure AI Foundry\nCollaborate with cross-functional teams to translate business problems into AI-driven solutions\nEnsure scalability, reliability, and governance of AI systems\n\nMandatory Skills\nStrong experience in AI Agent Development\nProficiency in building and managing Multi-Agent Systems\nIn-depth understanding of Large Language Models (LLMs)\nHands-on experience with OpenAI Agent SDK\nStrong expertise in LangChain or similar frameworks\nAdvanced Prompt Engineering skills\nKnowledge of LLM evaluation methods and performance tuning\nStrong Python programming skills\nExperience with Agentic AI frameworks\nExpertise in Prompt design and memory management\n\nGood to Have\nExperience with vector databases and embeddings\nKnowledge of retrieval-augmented generation (RAG) architectures\nFamiliarity with MLOps and model deployment pipelines\nExposure to cloud platforms (Azure preferred)\n\nEducational Qualifications\nBachelor’s/Master’s degree in Computer Science, Artificial Intelligence, or related field\n\nWhy Join Us\nWork on cutting-edge Generative AI and Agentic AI innovations\nOpportunity to build next-gen intelligent systems from the ground up\nCollaborative and forward-thinking work environment.\n\n(Get a glimpse of) The R Systems Experience\nPurpose-Driven Projects: Contribute to meaningful projects, making an impact in the lives of millions worldwide.\nContinuous Learning: Opportunities for personal development and skill enhancement by leveraging our Individual Development Programs, Certifications, and collaborations with Learning Platforms.\nDiversity & Inclusion: A culture that values different perspectives and fosters belonging.\nWell-being & balance: Flexible work policies designed to maintain a healthy work-life balance.\nFrequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.\nCollaborative Culture & Teamwork: Fostering a sense of belonging and camaraderie through Team events and cultural collaboration. Also, drive innovation, enhance communication, and strengthen our organization's ability to adapt and thrive in a dynamic work environment.\nVaried Industry Experience: Gain valuable experience working with top global brands across sectors such as Healthcare, Banking, e-commerce, and Retail.\nCentre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.\nOpen Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.\n\nPay range and compensation package : If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!\n\nEqual Opportunity Statement : R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law.

We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.