Lead I - ML Engineering :: AI Engineer

Role Description Job Title: Senior AI Engineer Experience Range • 7+ Years of professional software development experience • Hands-on experience building AI/ML or LLM-based enterprise solutions Hiring Location: Hyderabad Must-Have Skills AI / Generative AI • Hands-on experience building AI systems using Large Language Models (LLMs) • Experience designing and developing: • Retrieval-Augmented Generation (RAG) pipelines • Agentic AI workflows • Multi-model orchestration • Experience integrating LLMs with enterprise data and tools • Experience with agent frameworks and tool-use/connector patterns (e.g., MCP) • Prompt engineering fundamentals • AI-assisted development tools (GitHub Copilot, Cursor, etc.) Backend Development • Strong backend development experience • REST API development • Enterprise integration services • Modern programming languages/frameworks (Python, Java, Node.js, etc.) Cloud & Platform • Cloud-native application development • AWS / Azure / GCP • Secure application development • Authentication & Authorization • Secrets management DevOps / CI-CD • GitLab CI/CD (or equivalent) • Automated build, test, and deployment pipelines AI Observability • Structured logging • Monitoring AI system performance • Cost monitoring • Output quality monitoring • Tracing & instrumentation Software Engineering • Enterprise application architecture • Scalable and maintainable software development • Technical design • Component-level architecture decisions • Strong ownership mindset • Ability to work in agile environments with evolving

Good-to-Have Skills • High-throughput distributed systems • Low-latency architecture • LLM evaluation frameworks • AI observability platforms • Hallucination detection • Agent tracing • React / Frontend development • AI for log analysis • AI-driven anomaly detection • Operational intelligence solutions • Forward Deployed Engineering (FDE) experience • Consulting/customer-facing engineering experience • Multi-domain enterprise solution delivery Preferred Technical Stack AI Technologies • LLMs • RAG • Agentic AI • Multi-Agent Systems • MCP (Model Context Protocol) • Prompt Engineering Cloud • AWS • Azure • Google Cloud Platform (GCP) Backend • REST APIs • Enterprise Integrations • Microservices DevOps • GitLab CI/CD • Automation Pipelines Observability • Logging • Monitoring • Tracing • AI Performance Evaluation