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Job Description Responsibilities : Business Immerse in operations until you think like an insider. Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders. Delivery : Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions. Generative AI Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments. People Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication. AI-Augmented Development Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour. Scale Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality. Documentation Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom. Reliability Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, and mentor engineers on SRE practices. Ideal Candidate Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership). Mandatory (Experience 1) - Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend. Mandatory (Experience 2) - Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack. Mandatory (Experience 3) - Must have 2+ years of experience in generative AI applications developement LLM integrations, vector databases, RAG systems, and evaluation pipelines. Mandatory (Experience 4) - Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development. Mandatory (Experience 5) - Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform). Mandatory (Experience 6) - Must have working knowledge of multiple database paradigms relational (PostgreSQL), document, and key-value (Redis) with ability to select the right storage per problem. Mandatory (Experience 7) - Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies. Mandatory (Experience 8) - Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them. Mandatory (Career Stability) - Must demonstrate a stable career history with no pattern of frequent job changes. Preferred (Experience) - Advanced RAG techniques hybrid search, reranking, query expansion and establishing RAG standards across teams. (ref:hirist.tech) .
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.