🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
About us: Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives. Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success. The Role: We are looking for a Senior AI Engineer to lead the development and scaling of our LLM-powered solutions. While your foundation is in Python, this role is specifically designed for an expert who understands the nuances of the generative AI lifecycle—from prompt engineering and RAG architecture to fine-tuning and production-grade deployment. You will be responsible for transforming raw model capabilities into robust, reliable, and scalable backend services. What we are looking for: Expert-level Python skills with a deep understanding of asynchronous programming and backend architecture. Proven experience building and deploying production-level applications using Large Language Models (LLMs). Strong experience with SQL and NoSQL databases, specifically optimized for high-dimensional vector search. Familiarity with deploying AI models in cloud environments (AWS, GCP, or Azure) and managing CI/CD for AI services. A "first-principles" approach to solving the unique challenges of non-deterministic AI outputs Experience with fine-tuning open-source models using techniques like LoRA or QLoRA. Knowledge of agentic frameworks and autonomous AI agents. A background in traditional NLP (Spacy, NLTK) or classic Machine Learning. Responsibilities: Architect and implement complex AI workflows using frameworks like LangChain , LlamaIndex , or Haystack . Design and optimize Retrieval-Augmented Generation (RAG) pipelines, including vector database management ( Pinecone, Weaviate, or Milvus ) and advanced indexing strategies. Evaluate and implement strategies for model selection (OpenAI, Anthropic, or Open Source like Llama 3) based on latency, cost, and performance requirements. Develop high-performance Python backends (FastAPI or Flask) to serve AI features to our global user base. Build robust evaluation frameworks to measure LLM accuracy, reduce hallucinations, and monitor production performance using tools like LangSmith or Arize Phoenix . Work closely with product and engineering teams to identify high-impact AI opportunities and navigate the technical trade-offs of generative AI. What we offer: Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options. Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients. Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies. Hand-picked opportunities just for you Skip the typical recruitment roadblocks and biases with personally matched positions. One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments. Compensation Enjoy the same pay, every month with positions landed through Proxify.
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.