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Cloud Infrastructure (OCI) · AI Database

Software Developer (Agentic Ai development exp mandatory)

BangalorePosted 2 months ago
Software engineeringSeniorFull Time; Regular
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4+ years of experienceExperience building AI coding assistants, developer copilots, autonomous debugging agents, test generation systems, build failure analyzers, cloud troubleshooting agents, or AI-powered DevOps tools.Experience with agent frameworks or orchestration technologies such as LangChain, LangGraph, CrewAI, or custom agent runtimes.Experience with commercial or open-source LLM ecosystems such as OpenAI, Anthropic, Google Gemini, Cohere, Meta Llama, Mistral, or enterprise-hosted models.Experience designing systems that reason over large codebases, dependency graphs, APIs, SDKs, cloud service documentation, build artifacts, logs, metrics, traces, and runtime telemetry.Deep understanding of developer experience, developer productivity, software engineering workflows, and cloud application development.Experience with OCI, especially in areas such as developer tools, DevOps, cloud automation, identity, observability, infrastructure provisioning, networking, compute, storage, or managed AI services.Experience with Kubernetes, containers, Terraform, CI/CD systems, workflow engines, message queues, distributed job execution, or service deployment platforms.Knowledge of secure software supply chain practices, including artifact integrity, dependency scanning, secrets handling, policy enforcement, provenance, and deployment governance.Experience building RAG systems with semantic retrieval, hybrid search, reranking, chunking strategies, grounding validation, citation-aware responses, and access-controlled retrieval.Experience evaluating LLM and agentic systems using golden datasets, synthetic test generation, human review, automated scoring, red teaming, online experimentation, and regression testing.Experience optimizing AI-powered systems for latency, throughput, reliability, token efficiency, cost, model selection, and service availability.Track record of technical leadership through architecture ownership, patents, publications, open-source contributions, platform delivery, or high-impact developer tooling initiatives.Experience mentoring engineers and raising the engineering bar across a team, platform, or organization. 4+ years of experienceExperience building AI coding assistants, developer copilots, autonomous debugging agents, test generation systems, build failure analyzers, cloud troubleshooting agents, or AI-powered DevOps tools.Experience with agent frameworks or orchestration technologies such as LangChain, LangGraph, CrewAI, or custom agent runtimes.Experience with commercial or open-source LLM ecosystems such as OpenAI, Anthropic, Google Gemini, Cohere, Meta Llama, Mistral, or enterprise-hosted models.Experience designing systems that reason over large codebases, dependency graphs, APIs, SDKs, cloud service documentation, build artifacts, logs, metrics, traces, and runtime telemetry.Deep understanding of developer experience, developer productivity, software engineering workflows, and cloud application development.Experience with OCI, especially in areas such as developer tools, DevOps, cloud automation, identity, observability, infrastructure provisioning, networking, compute, storage, or managed AI services.Experience with Kubernetes, containers, Terraform, CI/CD systems, workflow engines, message queues, distributed job execution, or service deployment platforms.Knowledge of secure software supply chain practices, including artifact integrity, dependency scanning, secrets handling, policy enforcement, provenance, and deployment governance.Experience building RAG systems with semantic retrieval, hybrid search, reranking, chunking strategies, grounding validation, citation-aware responses, and access-controlled retrieval.Experience evaluating LLM and agentic systems using golden datasets, synthetic test generation, human review, automated scoring, red teaming, online experimentation, and regression testing.Experience optimizing AI-powered systems for latency, throughput, reliability, token efficiency, cost, model selection, and service availability.Track record of technical leadership through architecture ownership, patents, publications, open-source contributions, platform delivery, or high-impact developer tooling initiatives.Experience mentoring engineers and raising the engineering bar across a team, platform, or organization.

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