bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions.
Our goal is to 'Deliver in time-every time'.
For more details visit our website: www.bebotechnologies.com
Let's have a 360 tour of our bebo premises by clicking on below link:
https://www.youtube.com/watch?v=S1Bgm07dPmMKey
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Design, build, and maintain production-grade services and applications that use AI agents, large language models, retrieval pipelines and external tool integrations.
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Develop and enhance mobile application experiences that embed AI agentic capabilities, conversational workflows and secure integrations with backend services.
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Translate product and solution requirements into maintainable code, service interfaces, workflow orchestration and deployable components.
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Implement guardrails, prompt strategies, memory patterns, context handling and fallback paths to improve agent accuracy, traceability and safety.
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Integrate agentic workflows with enterprise systems, APIs, data stores, event pipelines and identity controls.
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Own engineering quality through unit testing, integration testing, evaluation harnesses, performance tuning and production defect resolution.
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Instrument services with logging, metrics, tracing, and alerting to support runtime visibility and rapid diagnosis of agent behavior.
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Contribute to reusable engineering patterns, component libraries and operational playbooks for AI-enabled software delivery.
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Collaborate with architects and cross-functional stakeholders to refine technical approaches, manage delivery risks and improve scalability.
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5+ years of software engineering experience delivering backend, platform or full-stack systems in production environments.
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Practical experience building or supporting mobile applications using modern frameworks and mobile delivery practices.
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Strong proficiency in at least one modern programming language such as Python, TypeScript/Javascript/JQuery.
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Experience building distributed services, APIs, integrations and data-driven applications with sound engineering practices.
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Demonstrated ability to debug complex systems, improve reliability and ship features with strong ownership.
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Experience working with LLM application frameworks, agent orchestration libraries, vector databases, or retrieval-augmented generation patterns.
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Experience delivering AI-enabled mobile features such as conversational UX, contextual assistance, or workflow automation in iOS, Android, or cross-platform apps.
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Exposure to CI/CD, cloud-native deployments, infrastructure automation and secure software delivery workflows.
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Familiarity with evaluation methods for AI systems, including offline test sets, quality scoring and failure analysis.
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Experience in regulated or enterprise environments where auditability, safety and operational discipline are important.
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Builds AI agents with explicit reasoning boundaries, measurable outputs and safe operational behavior.
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Balances model capability with deterministic software controls to achieve consistent business outcomes.
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Understands when to apply agent autonomy versus workflow constraints, human review or rule-based decisioning.
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Improves agent quality through prompt iteration, tool contract design, telemetry review and systematic failure analysis.