Engineer III , Backend Gen AI

GenAI Engineer Location : Gurugram About the Role Were seeking a versatile GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Key Responsibilities Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering, RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplans platform and third-party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge-sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Required Qualifications 5+ years of software engineering experience with 3+ years focused on ML/AI systems Strong programming skills in Python including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM-powered applications in production Proficiency in front-end development with React, TypeScript, and modern web technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals including NLP, time-series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem-solving skills and attention to detail Bachelor s degree in computer science, Machine Learning, or related field Preferred Qualifications Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Background in forecasting, planning, or analytics applications Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B, MLflow) What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting-edge conversational and agentic AI technologies Build user-facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software Grow your skills in both ML engineering and full-stack development Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.