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About us At R Systems, we are shaping the future of technology by designing cutting-edge software products, platforms, and digital experiences that drive business growth for our clients. Our product mindset and advanced engineering capabilities in Cloud, Data, AI, and Customer Experience empower us to deliver innovative solutions to key players across the high-tech industry. This includes ISVs, SaaS, and Internet companies, as well as leading organizations in telecom, media, healthcare, finance, and manufacturing. We are Great Place to Work Certified in 10 countries where we have a full-time workforce - India, the USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia, and Thailand. This means we are a dynamic, global team that values continuous learning, collaboration, and innovation. Join us and experience a workplace where your contributions are celebrated, and your growth, development, and well-being are at the heart of everything we do!! Company Link: R Systems | Digital Product Engineering Job Description : Experience and Education - 6+ years of relevant technology experience overall and 2+ years hands-on with LLM-based systems in production. Demonstrated experience leading technical teams and mentoring engineers. BE / B.Tech / MCA / M.Tech, or equivalent demonstrated capability. Programming and foundations - Strong Python. Practical working use of at least one of TypeScript / Java / Go. Solid SQL and data modelling; comfortable with both relational and vector stores. Sound software engineering fundamentals testing, version control, CI/CD, code review discipline. GenAI core (must be hands-on, not conceptual) LLM application development prompt design and prompt engineering as an engineering discipline, structured output, context management, token/cost optimisation. RAG chunking and indexing strategy, hybrid and semantic search, re-ranking, query rewriting, grounding and citation, retrieval evaluation. Awareness of when RAG is the wrong answer. Agentic systems tool use, planning and decomposition, multi-agent orchestration, state and memory management, error recovery and retries, MCP or equivalent tool-integration standards. Evaluation and LLMOps building eval harnesses, LLM-as-judge with its caveats, tracing and observability (Langfuse, LangSmith, Arize or equivalent), regression testing on prompt and model changes, monitoring in production. Model landscape practical judgement across frontier and open models; multi-model routing; understanding of the cost/quality/latency trade-off rather than brand loyalty. LLM safety prompt injection and jailbreak mitigation, data exfiltration risk in tool-using agents, hallucination mitigation patterns, guardrails and validation layers. Frameworks and tooling LLM orchestration: LangGraph / LangChain / LlamaIndex / Semantic Kernel or equivalent and the judgement to know when a framework is unnecessary overhead. Vector / search: pgvector, FAISS, Pinecone, Weaviate, Azure AI Search, OpenSearch or similar. Cloud AI platforms: at least one of AWS Bedrock / Azure AI Foundry / Google Vertex AI at production depth. Containerisation and deployment: Docker, Kubernetes basics, serverless patterns. Data and pipelines: Pandas, Airflow / Databricks / equivalent workflow orchestration. AI-assisted development tooling (Claude Code, Cursor, Copilot) used seriously as a productivity multiplier, not as a novelty. .
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.