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Core Responsibilities Build and modify conversational flows across dialog, orchestration and knowledge layers. Design and optimize stateful, multi-step workflows, including session and context management. Perform RAG and knowledge-retrieval tuning to improve response quality and relevance. Design and maintain escalation logic, including transfer conditions, routing destinations, context payloads and reason-code registration. Work with LLM-driven conversational systems, including prompt behavior, guardrails and model-generated content. Integrate backend systems through established handler/API layers. Develop secure REST API integrations using appropriate authentication and certificate-management mechanisms. Author and maintain automated unit tests, mocks and platform-level conversational test cases. Maintain comprehensive regression test suites. Build and own CI/CD pipelines covering validation, automated testing and gated promotion across environments. Follow Git-based branching, release and environment-promotion strategies. Own application deployment and rollback procedures. Act as a first responder for production incidents. Diagnose production issues independently using logs, traces and metrics. Identify root cause and implement permanent fixes with corresponding regression tests. Manage configuration and feature-flag governance. Maintain design, state, test and implementation documentation aligned with actual system behavior. Analyze and reconcile platform changes originating outside version control and determine whether the impact is behavioral or cosmetic. Collaborate with engineering, product, QA, security and infrastructure teams. Required Technical Expertise Programming Python REST APIs JSON API integrations Object-oriented programming Asynchronous/event-driven programming Conversational AI / GenAI Conversational workflow development LLM-based applications Prompt engineering Guardrails RAG / knowledge retrieval Context and session management Multi-step/stateful orchestration Escalation and routing logic API & Security REST APIs OAuth 2.0 JWT / JWT Client Assertions mTLS SSL/TLS certificates Certificate lifecycle management Secrets management Secure API authentication Testing PyTest or equivalent Unit testing Mocking Integration testing API testing Regression testing Conversation/platform-level testing DevOps Git GitHub Actions / GitLab CI / Azure DevOps CI/CD pipeline development Branching strategies Environment promotion Automated validation and deployment Rollback Production & Observability Log analysis Metrics Distributed tracing Production incident management Root-cause analysis Performance troubleshooting Monitoring and observability Preferred Candidate Profile 10+ years overall IT/software engineering experience 5+ years of professional Python development Strong hands-on experience building stateful, multi-step applications Proven experience with LLM/conversational AI or workflow orchestration Strong API security and integration background Strong automated testing discipline Hands-on CI/CD ownership Experience owning production deployments and incident resolution Ability to understand and extend an existing SDK/framework without modifying its core Strong communication and documentation skills Skills: restapi,llm,python .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.