Principal Developer, Agentic AI @ Jaggaer, Hyderabad

Experience: 10+ Years

Notice Period: Immediate to 30 Days

Work Mode: Hybrid(3 Days Office & 2 Days WFH)

Location: Hyderabad

Skills Required:

• 10+ years of experience in software development with deep expertise in Python, including significant experience in technical leadership or architect roles.
• Proven track record architecting and delivering enterprise applications
• Strong experience building and guiding frontend applications using React.js and modern JavaScript frameworks.
• Deep understanding of software engineering principles, object-oriented design, data structures, algorithms, and enterprise architecture patterns.
• Extensive experience with Oracle and PostgreSQL databases, including advanced SQL, schema design, and performance optimization at scale.
• Demonstrated expertise in API integrations, enterprise system connectivity, and distributed application architectures.
• Hands-on experience with Generative AI concepts and a track record of integrating LLM-powered capabilities into production applications.
• Strong working knowledge of Agentic AI concepts, AI orchestration, prompt engineering, tool calling, and structured outputs.
• Demonstrated ability to mentor engineers, lead technical initiatives, and influence architectural decisions across teams.
• Excellent problem-solving, analytical, and debugging skills, with sound judgment on technical trade-offs.
• Ability to communicate clearly and persuasively in English, both verbally and in writing, including to technical and non-technical stakeholders.
• Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks.
• Experience building AI-powered applications using Large Language Models (LLMs).
• Experience implementing Retrieval-Augmented Generation (RAG) systems.
• Familiarity with vector databases such as Pinecone, ChromaDB, Weaviate, or similar technologies.
• Knowledge of multi-agent systems, workflow automation, and AI evaluation techniques.
• Experience with MCP (Model Context Protocol) integrations.
• Experience building AI copilots, autonomous agents, deep research assistants, chatbots, workflow automation systems, or AI-powered SaaS products.
• Familiarity with AI observability, monitoring, and evaluation platforms.
• Knowledge of AWS cloud services, DevOps practices, CI/CD pipelines, Docker, and Kubernetes.
• Experience working with Snowflake and modern data platforms.
• Knowledge of SonarQube and application quality management practices.
• Familiarity with Data Source Manager (DSM) concepts, configuration, and integration within analytics and reporting ecosystems.
• Exposure to procurement, analytics, reporting, business intelligence, or enterprise SaaS platforms.
• Experience leading architecture reviews, technical design documents (RFCs), or engineering guilds.
• Contributions to open-source projects, technical publications, or conference presentations in AI/ML or software engineering.