





Mid-level AI role in Bangalore at a well-known consultancy with broad skill requirements increases applicant competition.
AI engineering skills are transferable across industries but LLM/agent specialization raises domain specificity.
Explicit 2-4 years requirement plus many mandatory tech and ML skills increases screening rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and implement AI solutions including autonomous AI agents capable of parsing, analyzing, and reasoning over large codebases.
Work with AI-augmented development practices such as prompt engineering, AI-assisted coding, testing, and review to deliver high-quality applications.
Contribute to AI use cases in software development lifecycle adhering to development and security standards, utilizing approved tools and modern AI workflows.
2-4 years of experience in software development or engineering roles.
Expert-level proficiency in Python and strong understanding of Java/Spring Boot and Angular (Typescript).
Experience with AI technologies, including LLM-powered agents, prompt engineering, and AI integration in SDLC (code assistants, test generation, code review).
Knowledge of PL/SQL and relational databases (Oracle, PostgreSQL), version control (Git), CI/CD pipelines, containerization (Docker), and familiarity with cloud environments.
Experience developing AI-powered software products with practical skills in prompt engineering and autonomous agent workflows.
Capable of handling complex code analysis, AI-driven testing strategies, and optimizing trade-offs between cost, latency, and quality in AI solutions.
Comfortable working in Agile methodologies (Scrum, Kanban) and DevOps environment applying modern software development best practices.