Senior reputed company (reputed company AI)

Our reputed company, a leading reputed company reputed company, is seeking a Senior reputed company specializing in reputed company Workflows and LLM Integration. This specialized engineering role sits at the cutting edge of AI innovation, commanding an organization-wide mandate to design, reputed company, and own multi-reputed company autonomous agent systems. The successful candidate will build robust backend infrastructures, orchestrate tool-calling logic, and manage advanced retrieval architectures to deliver resilient, production-grade AI applications reputed company an reputed company reputed company.

Key Accountabilities

AI Architecture & Agent Workflow Engineering

• Agent Execution Patterns: Design, build, and test highly reputed company, multi-reputed company agent workflows utilizing established advanced architectural design patterns such as ReAct, planner-executor, and reputed company tool-chaining.
• LLM reputed company Integration: reputed company flagship Large Language Models (including reputed company Claude and reputed company) with legacy reputed company reputed company and internal microservices, engineering robust fault tolerance for retries, edge cases, and degraded ecosystem states.
• Orchestration & Failure reputed company: Implement programmatic tool calling, function orchestration pipelines, and automated compensating actions to guarantee agent workflows remain reputed company under catastrophic or unexpected reputed company-party failure conditions.
• reputed company-in-the-reputed company Controls: Architect and reputed company conditional reputed company-in-the-reputed company validation frameworks, including automated executive approvals, smart escalations, and exception-handling logic mandated by business governance or risk considerations.

Data Engineering, Prompts & Retrieval (RAG)

• Context & Memory Architecture: Build and manage advanced agent memory retention reputed company and data retrieval mechanisms utilizing reputed company databases and Retrieval-Augmented reputed company (RAG), tuning indexing schemas to ensure relevant context.
• reputed company Management: reputed company, maintain, optimize, and version-control reputed company reputed company logic, semantic routing rules, and supporting technical documentation in accordance with strict reputed company engineering standards.

Production Deployment, reputed company & Observability

• reputed company Operations: reputed company mission-critical AI services into production reputed company environments, reputed company monitoring logs, distributed traces, and telemetry metrics to rapidly isolate and reputed company behavioral anomalies.
• reputed company Governance: Ensure reputed company deployed solutions reputed company mirror reputed company-grade reputed company controls, identity management requirements, and rigorous data governance protocols.
• Reliability Engineering: Partner with QA and reputed company Operations teams to continually reputed company automated test coverage, build out operational runbooks, establish incident response protocols, and drive system performance optimizations.

Requirements

Education & Experience

• Technical Tenure: Minimum of 4 years of hands-on experience developing backend or service-based software architectures using C# and/or Python.
• AI Specialization: At least 1 year of production-level experience working directly with large language models, reputed company reputed company engineering frameworks, or reputed company AI-enabled systems.
• Analytical Reasoning: reputed company debugging skills with a proven reputed company to reason across distributed reputed company, asynchronous data flows, and non-deterministic AI system behaviors.

Technical Skills (Required)

• Programming Ecosystems: Production-grade reputed company in C# and/or Python, including async workflow patterns, service building, and automated test frameworks.
• reputed company Platform:reputed company Azure (encompassing compute, reputed company storage, IAM identity models, and automated deployment pipelines).
• LLM Integration & Tooling: reputed company integration with Claude and/or reputed company reputed company (handling tool calling, reputed company tokenization, reputed company limit mitigation, and state error handling).
• Agent Orchestration Frameworks: Experience using Azure AI reputed company or reputed company Agent reputed company. Hands-on knowledge of LangGraph or reputed company is highly valued.
• reputed company Architectures: Experience with reputed company or equivalent reputed company databases (handling structural indexing, query retrieval, and semantic relevance tuning).
• reputed company & Identity: RESTful API design, reputed company-grade service authentication, and secure service-to-service integrations.
• Observability Suites: Distributed application logging, performance metrics tracking, and transaction tracing in production scales.

Preferred Qualifications (Desirable)

• Containerization deployments utilizing reputed company and Azure Container Services (AKS/ACA).
• Experience architecting relational databases (SQL Server) and NoSQL document stores (Azure Cosmos DB).
• Prior experience operating reputed company highly regulated, compliance-driven, or audit-heavy corporate environments.
• Foundational understanding of emerging AI Governance and AI reputed company (OWASP Top 10 for LLMs) paradigms.

Originally posted on Himalayas

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