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Why join us TRACTIAN is transforming the industrial world by empowering frontline maintenance workers to achieve more. We’ve fused cutting-edge hardware with innovative software into one powerful platform, disrupting legacy systems and delivering smarter, faster solutions for our clients. Data Science at TRACTIAN The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data. Using advanced statistical methods, algorithms, and data visualization techniques, this team transforms raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies. The team constantly works on optimizing prediction models, identifying trends, and providing data-driven solutions that directly enhance the company’s operational efficiency and the quality of its products. What you'll do We're seeking an experienced LLM Applications Engineer to design, develop, and deploy production-ready applications that harness the capabilities of large language models. In this role, you'll create robust APIs, implement intelligent information retrieval systems, and build resilient infrastructure that connects AI capabilities with real-world industrial applications. Responsibilities Design and develop user-facing applications powered by large language models. Create and maintain high-performance APIs that integrate LLMs with our platformImplement retrieval-augmented generation (RAG) systems for enhanced information access. Build intelligent document processing workflows using OCR and LLM technologies. Develop conversational interfaces that solve practical problems for our users. Ensure system reliability with fallback mechanisms for provider outages. Collaborate with product teams to define requirements and technical specifications. Requirements 2-5+ years of experience in software engineering with a focus on backend development. Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent technical field. Demonstrated experience building applications that utilize large language models. Strong proficiency in Python and experience with web frameworks like FastAPI, Flask, or Django. Experience designing, building, and maintaining production REST APIs. Working knowledge of relational databases and SQL. Familiarity with LLM orchestration tools such as LangChain or LangGraph. Experience with vector embeddings and information retrieval systems. History of shipping code to production environments. Preferred Qualifications Experience with LLM fine-tuning and model optimization techniques. Knowledge of containerization and microservices architecture. Experience with OCR and document processing technologies. Understanding of performance optimization for AI applications. Technical Skills Programming: Python and/or Golang. Frameworks: FastAPI, Flask, Django. LLM Tools: LangChain, LangGraph. API Development: REST, OpenAPI. Databases: PostgreSQL, Redis, vector databases. LLM Integration: OpenAI, Anthropic, and other providers. Information Retrieval: Vector embeddings, semantic search. Document Processing: OCR, PDF parsing. Compensation & Benefits Competitive salary and stock options 30 days of paid annual leave Education and courses stipend Earn a trip anywhere in the world every 4 years R$1.035/month for meals allowance Health plan with national coverage and without coparticipation Dental Insurance: we help you with dental treatment for a better quality of life. Wellhub and Sports Incentive: R$300/mo extra if you practice activities
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.