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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 Python AI Engineer to join our fast-growing Network, who will design and develop backend systems and APIs for AI-powered applications. You will play a key role in designing and building scalable backend systems and APIs, collaborating closely with cross-functional teams to shape the future of data-driven products across various platforms. What we are looking for: Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django). Deep learning frameworks (PyTorch, TensorFlow) for custom modeling beyond LLM APIs. Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar. Experience with prototyping tools: Streamlit, Gradio Solid experience designing RESTful APIs and microservice architectures. Strong backend development expertise, including databases (SQL/NoSQL). Experience with version control (Git) and CI/CD workflows. Hands-on experience with containerization (Docker, ideally Kubernetes). Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. Understanding of security best practices for handling sensitive data. Strong problem-solving skills to address complex challenges and performance bottlenecks. Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders. Ability to work independently while aligning with broader team goals. Intermediate-advanced English level. AI/ML & LLM Ecosystem: LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex. Retrieval-Augmented Generation (RAG) pipeline design. Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS). Hands-on with LLMs & APIs: OpenAI (GPT-5/5-mini), Anthropic Claude, Google Gemini, Meta Llama, Mistral. Familiarity with AWS Bedrock for accessing and deploying foundation models. Prompt engineering and structured output design (JSON mode, function calling). Model fine-tuning (LoRA, QLoRA) and evaluation frameworks (DeepEval, Ragas). Responsibilities: Design and develop backend systems and APIs for AI-powered applications. Build and optimize LLM-based workflows, including chatbots, copilots, and automation tools. Implement RAG architectures using vector databases and document pipelines. Integrate and orchestrate cloud-hosted foundation models (AWS Bedrock, OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral). Collaborate cross-functionally with data scientists, product managers, and frontend developers to deliver end-to-end AI products. Ensure performance, scalability, and cost optimization of AI solutions in production environments. Monitor, evaluate, and continuously improve deployed AI systems. 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.