Principal Developer - Agentic AI
First seen by Alion on Aug 14, 2026.
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.
Skills
Python, React.js, Javascript, PostgreSQL, API Integration, AI Integration, Agentic AI, AWS, Data Structure, Algorithm