GenAI Engineer

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field (B.Tech / B.E. or equivalent). - Master’s degree (M.Tech or equivalent) is a plus, but not required. - Equivalent practical experience will also be considered for exceptional candidates. - 2–4 years of experience spanning Data Science, Machine Learning, AI Engineering, or GenAI development. - Hands-on experience building and deploying GenAI or AgenticAI applications in production environments. - Strong experience with GenAI frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar ecosystems. - Experience implementing LLM-based workflows including prompting, embeddings, RAG, tool calling, orchestration, and evaluation systems. - Familiarity with evaluation methodologies such as HITL, LLM-as-a-judge, deterministic evaluation, and fine-tuning workflows. - Experience with observability and experimentation tooling such as LangSmith or equivalent platforms. Engineering & Systems Experience

Strong proficiency in Python for model development, backend services, deployment, and monitoring. - Experience building scalable APIs and microservices using REST and/or gRPC. - Understanding of modern software engineering principles, CI/CD workflows, distributed systems, and production system design. - Experience optimizing inference performance, latency, and API usage costs across AI systems. - Familiarity with cloud-native development patterns and scalable AI infrastructure is a plus. Collaboration & Ways of Working

Ability to work in fast-paced Agile environments with a strong bias toward iteration, experimentation, and continuous improvement. - Strong communication and collaboration skills with the ability to work cross-functionally across technical and non-technical teams. - Product mindset with a focus on customer impact, usability, and business outcomes. Nice to Have

Background in industrial systems, IoT platforms, digital twins, or manufacturing technologies. - Familiarity with time-series modeling, anomaly detection, predictive maintenance, or sensor analytics systems. - Experience with streaming infrastructure such as Kafka, NSQ, or similar event-driven architectures. - Familiarity with data platforms such as Databricks, BigQuery, Snowflake, or lakehouse architectures. - Experience working with knowledge graphs, context graphs, or data-intensive AI applications. - Exposure to multimodal AI systems combining structured, unstructured, and sensor-driven data. Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.