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Global brand, Bangalore metro, and mid-level (3–5 year) role increase candidate competition despite niche AI skills.
AI engineering skills like LangChain, RAG, and vector databases are highly transferable across industries.
Explicit 3–5 years plus specialized AI stack and production support requirements enforce stringent shortlisting.
Implement, deploy, and optimize machine learning models and AI solutions in production environments.
Provide Level 3 technical support for AI applications, including troubleshooting, monitoring, and incident management.
Collaborate with cross-functional teams to enhance AI platforms, maintain documentation, and continuously improve AI capabilities.
Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
3-5 years of hands-on experience in AI/ML engineering or related technical roles.
Proven experience in production support or technical troubleshooting, including use of ticketing systems and incident management.
Location requirement: On-site in Bengaluru, Karnataka, India.
Experienced in AI agent architectures, tool integration (e.g., Model Context Protocol, LangChain, LlamaIndex), NLP, conversational AI, and RAG implementations.
Skilled in diagnosing and resolving AI system issues such as model degradation, latency, integration failures with strong analytical and debugging skills.
Familiar with AI system security, governance, responsible AI practices, version control (Git), and collaborative development workflows in fast-paced environments.