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Recognized enterprise brand, mid-level generalist backend+AI role in Bangalore with broad required skills, high applicant competition.
Core skills (Python backend, REST APIs, LLM integration) are reasonably transferable, though enterprise domain knowledge helps.
Explicit 5-8+ years plus mandatory Python, FastAPI, LLM integration, and AWS Bedrock production experience increases screening strictness.
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Own end-to-end development and delivery of high-complexity or strategic AI product features including REST APIs, frontend wiring, feature logic, and AI integration on AWS Bedrock.
Make implementation and design decisions daily, collaborating with AI engineers and escalating cross-cutting issues to management.
Maintain high code quality standards, mentor junior engineers, and provide feedback to platform teams on CI/CD, vector DB, auth, QA, and UI/UX foundational layers.
5-8+ years of software engineering experience with significant backend or full-stack production development.
Expert-level proficiency in Python and related frameworks (async, FastAPI, Pydantic, pytest); strong REST API design and database modeling (SQL and NoSQL).
Working knowledge of LLM APIs, AI integration in production including prompt invocation, streaming, retries, fallbacks, and AWS services like Lambda, ECS, API Gateway, RDS, and Bedrock.
Work Experience Required: 5-8+ years; other strict location, degree, or notice period requirements: Not explicitly mentioned in the JD.
Experienced in building and operating AI-native production features, particularly using LLMs and RAG architectures in regulated or complex enterprise environments.
Strong engineering rigor with proven track record in shipping backend-heavy features end-to-end while using AI coding assistants to accelerate development.
Skilled collaborator who can partner across roles (AI engineers, architects) and provide technical mentorship while engaging with platform teams to refine shared standards and infrastructure.