Senior Generative AI Engineer | To THE New | Immediate Joiners (Noida)

Job Summary: The ideal candidate will have a robust experience in driving end-to-end Generative AI application development, from ideation and hypothesis validation to deployment and monitoring. Proficiency in designing LLM-based architectures, RAG pipelines, and intelligent agents using tools like Langchain, OpenAI SDK, and AWS Bedrock. Responsibilities - Drive end-to-end AI application developmentfrom idea conception and hypothesis formulation through rigorous testing to production deployment and monitoring, ensuring solutions solve real-world problems. - Embrace a boundaryless approach to technology, collaborating across backend systems, frontend interfaces (where applicable), automation scripts, and data pipelines to deliver holistic solutions. - Design, implement, and meticulously fine-tune LLM prompts, embeddings, RAG pipelines, and sophisticated AI agents (using frameworks like Langchain, CrewAI, Bedrock Agents, OpenAI SDK, Autogen etc.) tailored to specific domain use cases and business objectives. - Architect and build Generative AI solutions that are inherently scalable, secure, cost-effective, and privacy-conscious, integrating these considerations from the initial design phase. - Implement robust testing methodologies and MLOps practices specifically for GenAI, focusing on preventing prompt drift, mitigating hallucinations, ensuring model regression testing, and maintaining high performance. - Maintain exceptionally high standards in code hygiene, implement robust CI/CD practices for AI models and applications, and produce clear, comprehensive documentation. - Actively contribute to a vibrant culture of learning and innovation by creating tech blogs, developing internal Proofs-of-Concept (POCs), delivering demos, and conducting workshops on GenAI topics. - Stay relentlessly current with the rapidly evolving Generative AI landscape, including new trends, models, tools (like AWS Bedrock, Azure OpenAI, Vertex AI), and research advancements, critically eval .