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Tier-1 brand, mid-level AI role in Bangalore with broad GenAI/backend skillset increases competition.
Specialized LLM, GenAI, and ML engineering skills make cross-industry transferability limited.
Explicit 3–5 years requirement plus mandatory ML/LLM and backend skills makes shortlisting strict.
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Own the design, development, and delivery of scalable AI/ML and Generative AI solutions including LLM-powered applications, chatbots, multi-agent workflows, and backend services.
Collaborate cross-functionally with product, data, business, sales, finance, and engineering teams to implement AI solutions aligned with business goals and compliance requirements.
Drive adoption of emerging AI technologies like Agentic AI, LangChain, LangGraph, MCP, and ensure ongoing monitoring, optimization, and technical leadership within the team.
Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related engineering discipline.
3–5 years of software development experience with proficiency in Python, SQL, TensorFlow/PyTorch, and AI/ML frameworks.
Experience building LLM-powered applications with skills in prompt engineering, Retrieval-Augmented Generation, vector search, fine-tuning, and agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or n8n.
Strong backend development skills including REST APIs, microservices, containerization (Docker), CI/CD pipelines, and working knowledge of cloud platforms (Azure, GCP, or AWS).
Senior engineer comfortable independently owning complex AI/ML projects in an agile environment with a focus on enterprise-grade scalable solutions.
Experienced with integrating and building AI tooling platforms aligned with business and compliance needs, including model explainability and performance optimization.
Prefer candidates with understanding of enterprise software integration, cloud-native architectures, and working across multidisciplinary teams including product, data, and business stakeholders.