Engineer III
GenAI Engineer
Location: Gurugram
About the Role
We're 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 Anaplan's 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