Jaggaer - Principal Developer - Agentic AI

Experience : 10+ Years

Notice Period : Immediate to 30 Days

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

Location : Hyderabad

Job Description :

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.