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Tier-1 brand plus Bangalore location balanced by specialized LLM/RAG skill requirements.
Role requires specialized Generative AI and LLM experience, limiting cross-industry transferability.
Explicit 8+ years plus mandatory LLM, RAG, vector DB, cloud, and orchestration experience increases filter strictness.
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Design, develop, and maintain scalable enterprise-grade Generative AI applications including AI assistants, copilots, and intelligent workflows using LLMs and RAG solutions.
Integrate foundation AI models from providers like OpenAI, Anthropic, Azure OpenAI, Google Gemini, and open-source models while optimizing performance, scalability, latency, and operational costs.
Lead technical design, architecture decisions, implement APIs and microservices, collaborate cross-functionally, and mentor junior engineers while enforcing best practices and DevOps automation.
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.
Minimum 8 years of software engineering experience including hands-on work with Generative AI technologies, LLMs, RAG, vector databases, and AI orchestration frameworks.
Strong proficiency in Python and SQL; experience with REST APIs, microservices, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Familiarity with software design principles, distributed systems, CI/CD pipelines, and modern software development practices.
Experienced senior engineer with deep expertise in Generative AI application development using LLMs, RAG, and AI orchestration frameworks.
Operates effectively in cross-functional teams translating business requirements into secure, scalable, and cost-optimized AI solutions in cloud-native environments.
Capable technical leader who participates in architecture decisions and mentors junior engineers, promoting engineering best practices and DevOps culture.