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Mid-level generic software role at a strong brand in Bangalore increases candidate competition.
Requires production AI orchestration and distributed-systems expertise, moderately limiting cross-industry portability.
Explicit 3+ years, distributed-systems focus, and multiple mandatory tech stacks create strict screening filters.
Build and scale the core orchestration engine enabling AI agentic orchestration for enterprise automation, impacting UiPath's strategic Act 2 product initiative.
Develop and maintain full stack features using AI coding assistants, focusing on prototype-to-production lifecycle with measurable customer impact.
Design and ensure reliability of scalable distributed systems used in AI automation workflows with customer-centric evaluation metrics.
Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience.
3+ years of software engineering experience focused on distributed systems and backend architecture.
Proficiency in full stack development including frontend (React, TypeScript) and backend (Python, C#, or similar system languages).
Experience with cloud platforms (Azure, AWS, GCP), containerization (Docker, Kubernetes), and AI coding tools integrated into engineering workflows.
Experienced in building production AI systems involving LLMs, multi-agent orchestration, and evaluation of model behavior in real-world enterprise workflows.
Comfortable in ambiguous, fast-paced environments requiring rapid prototyping, iterative development, and customer feedback integration.
Strong strategic fit for internal startup-like teams focusing on rapid iteration, product-market fit, and cross-functional collaboration on cutting-edge AI and automation products.