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Tier-1 employer, popular software title, and Bengaluru metro increase candidate competition.
LLM, cloud, and distributed-systems focus favors ML backgrounds, so moderate cross-industry transferability.
Requires explicit 2+ years plus preferred LLM, cloud, and distributed-systems skills, so moderately strict.
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Participate in low to moderately complex software engineering projects including installation, upgrades, and deployment within the technology domain.
Design, code, test, debug, and document software projects, focusing on service quality and availability improvements.
Analyze and resolve low to medium risk technical challenges while ensuring compliance with security and operational standards.
Minimum 2+ years of software engineering experience or equivalent through work experience, training, military experience, or education.
Experience with Python or Java, APIs, Microservices, and LLM frameworks (e.g., LangChain, Semantic Kernel).
Familiarity with prompt engineering, model evaluation, and cloud platforms (Azure/GCP preferred).
Work Experience Required: 2+ years software engineering experience.
Experienced in distributed systems and scalable architecture design within a technology domain involving AI and cloud-based tools.
Capable of independently evaluating technical challenges and proposing solutions in alignment with service level agreements and risk compliance.
Comfortable working in environments requiring adherence to security, compliance, and operational risk guidelines related to financial services.