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Role Overview The focus is an agentic AI application for fraud investigation, with the broader goal of creating a reusable library of applications that can be configured and deployed for customers and prospects. We are looking for self-starters who can take a customer problem from concept to a complete, production-ready application with limited direction. Responsibilities - Design and build complete agentic AI and graph-based applications. - Develop agents, tool-calling workflows, GraphRAG, vector search, MCP tools, APIs, and human-in-the-loop processes. - Build customer-facing interfaces, visualizations, investigation workflows, authentication, and permissions. - Implement agent memory, orchestration, observability, auditing, evaluation, and monitoring. - Design secure, scalable, reliable, and reusable architectures that can be deployed across customers. - Deploy applications in public cloud, private cloud, hybrid, and on-premises environments. - Productize customer-specific solutions by separating reusable capabilities from customer configuration and integrations. - Build automated test coverage, CI/CD, deployment automation, and production-readiness practices. - Work directly with customers and internal teams to translate requirements into working software and rapidly incorporate feedback. Technical Profile Solid experience in several of the following areas: - Agentic AI, LLM orchestration, tool use, and multi-step workflows - Graph databases, graph algorithms, knowledge graphs, RAG, and GraphRAG - Full-stack application development and interactive visualization - APIs, MCP tools, integrations, and event-driven services - Authentication, authorization, RBAC, and enterprise security - Agent memory, state management, observability, evaluation, and auditing - AWS, GCP, or Azure; Kubernetes and containerization - On-premises and hybrid deployment - Automated testing, CI/CD, infrastructure as code, and production operations Requirements Candidate Characteristics - Strong system design, problem-solving, and full-stack engineering skills - Self-starter with ownership, urgency, and the ability to work with limited direction - Comfortable operating in a small team and working through ambiguity - Able to balance rapid delivery with scalability, security, reliability, and maintainability - Product-oriented, with the ability to turn custom requirements into reusable solutions - Committed to automated testing, code quality, and production readiness - Collaborative, customer-focused, and open to feedback - Able to communicate technical decisions, risks, and tradeoffs clearly What Success Looks Like A successful engineer will: - Turn customer use cases into working applications quickly. - Own major capabilities from design through production deployment. - Build secure, scalable, observable, and well-tested enterprise applications. - Convert customer implementations into configurable, reusable products. - Deliver measurable customer value and help move opportunities from demonstration to deployment. - Balance immediate delivery with the long-term development of a productized application library. .
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.