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Were committed to bringing passion and customer focus to the business. Key Responsibilities: Architect and implement RAG pipelines, agentic AI systems, and LLM-driven applications for enterprise use cases. Design and integrate prompt engineering, context management, and knowledge-grounding frameworks to optimize LLM performance. Collaborate with data, ML, and software engineering teams to build production-grade GenAI microservices and APIs. Evaluate and integrate open-source and proprietary LLMs (e.g., OpenAI, Anthropic, Mistral, Llama, Gemini). Design data pipelines for unstructured/structured content ingestion, indexing, and vector retrieval using Milvus, PostgreSQL (pgvector), or similar technologies. Define and enforce architecture standards, governance, and best practices for scalable GenAI platforms. Conduct PoCs, benchmark model performance, and lead solution transitions from prototype to production. Contribute to AI strategy, model lifecycle management, and cost optimization initiatives. Required Skills and Qualifications: Bachelor s/Master s degree in Computer Science, AI, Data Engineering, or related field. 5 8 years of total experience, with at least 3+ years in AI/ML or NLP systems design. Proven experience implementing LLM-based solutions, RAG architectures, and prompt orchestration frameworks. Solid Python programming skills and familiarity with frameworks like LangChain, LangGraph, LlamaIndex, or Transformers. Hands-on knowledge of vector databases (Milvus, Pinecone, Weaviate, Chroma) and knowledge graph systems (Neo4j, RDF). Experience deploying and managing AI workloads on cloud platforms (GCP, Azure, AWS). Understanding of MLOps/GenAIOps, model evaluation, and observability practices. Strong problem-solving, communication, and stakeholder management capabilities. Preferred Skills Experience with multimodal LLMs, agentic reasoning, and tool-using AI agents. Exposure to pharma/life sciences or regulated enterprise domains. Contribution to open-source AI frameworks or internal AI accelerators. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.