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Mid-level, generalist full-stack plus AI role with broad skillset increases candidate competition despite lower company brand.
Requires combined full-stack, data engineering, Power Platform and AI experience, moderately limiting cross-industry portability.
Explicit 4–8 years plus multiple mandatory stacks, Power BI, and cloud raise filter strictness.
Design, develop, and deploy enterprise-scale web applications and APIs using modern full-stack frameworks (MERN, MEAN, LAMP, Java/Spring Boot).
Build and maintain ETL pipelines, data models, and Power BI dashboards to support business intelligence and executive decision-making.
Implement end-to-end process automation workflows and integrate AI solutions including LLMs, agentic AI frameworks, and related tooling into enterprise applications.
4 to 8 years of hands-on experience in full-stack software development, data engineering, and process automation.
Proficiency in at least one full-stack technology suite: MERN/MEAN, Java/Spring Boot, or LAMP/web technologies.
Expertise in Power BI (DAX, Power Query, Data Modeling) and experience with SQL and NoSQL databases.
Practical experience with at least one major cloud platform (Azure, AWS, or GCP) and Microsoft Power Automate for workflow automation.
Experienced in architecting cloud-native, scalable digital solutions combining web development, data engineering, automation, and AI integration.
Familiar with generative and agentic AI technologies including LLM/SLM tuning, RAG architectures, and AI integration frameworks like LangChain or AutoGen.
Skilled in delivering cross-functional projects in Agile environments with strong capability to translate business needs into technical solutions and communicate effectively to stakeholders.