01Requirements
3 to 5 years of software engineering experience with strong, demonstrable Python fundamentals Hands-on experience with at least one agentic AI framework - LangChain, LangGraph, AutoGen, CrewAI, or equivalent Experience prompting and integrating at least one major LLM - OpenAI, Anthropic Claude, Google Gemini, or similar Working knowledge of RAG concepts - chunking strategies, embeddings, vector stores, and retrieval evaluation Familiarity with MCP integrations and agentic workflow patterns Strong prompt engineering skills - structured, systematic, and iterative approach Well versed in use of SOLID principles, common design patterns, and clean code practices Test-driven development and unit testing experience Proficiency with numpy, pandas, and at least one visualization library (Matplotlib, Seaborn, or Plotly) Foundational understanding of ML concepts - how models are trained, data preparation, and the purpose of fine-tuning VS Code or comparable IDE; Git version control Agile/Scrum experience Strong written and verbal communication - able to explain technical decisions clearly to non-technical stakeholders Adaptable and quick to learn - comfortable switching across technology stacks and client domainsBenefits:
Competitive salary Professional development opportunities .
