Back
Tier-1 brand, Bangalore metro, mid-level AI role, and broad GenAI skillset drive high candidate competition.
Specialized GenAI, LLM, and vector-database expertise increases domain specificity and reduces cross-industry transferability.
Mandatory 5+ years plus required GenAI, Python, cloud, and full-stack skills create high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy AI-powered applications, accelerators, and production solutions integrating LLMs, RAG architectures, and AI agents.
Build backend services, APIs, user interfaces, and integrate foundation models from major AI platforms ensuring scalability, performance, cost-efficiency, and quality.
Collaborate with architects, engineers, and business stakeholders to deliver reusable frameworks and AI solutions within enterprise systems.
5+ years of experience in AI and software engineering roles.
MBA degree required.
Strong proficiency in Python and experience with API frameworks like FastAPI or Flask.
Hands-on experience with Generative AI frameworks (e.g., LangChain, LangGraph) and major AI platforms (e.g., Azure OpenAI, OpenAI, Anthropic Claude).
Experienced AI engineer with deep hands-on skills in LLMs, prompt engineering, RAG, and vector databases relevant to enterprise AI applications.
Demonstrated ability to design scalable, production-ready AI systems with integration experience in cloud environments (Azure, AWS, or GCP) and containerization.
Capable of working cross-functionally with architects and business teams to deliver strategic AI solutions aligned to client business objectives.