Senior Python AI Engineer İş Tanımı
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. Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. 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.
Senior Python AI Engineer İlanındaki ATS Anahtar Kelimeleri
Bu ilanın metninde ATS beceri sözlüğümüzle eşleşen 5 anahtar kelime var. En sık geçenler: AWS (1 kez), LLM (1 kez), OpenAI (1 kez).
Programlama dilleri, çatılar ve platformlar
- Python · ilanda 1 kez · benzer ilanlarda %63
CV'nde karşılığı: Python ifadelerini ilandaki yazımıyla geçir; birini projesi ve ölçeğiyle bir deneyim maddesinde göster.
Veri, analitik ve yapay zekâ
- LLM · ilanda 1 kez · benzer ilanlarda %49
- RAG · ilanda 1 kez · benzer ilanlarda %35
- OpenAI · ilanda 1 kez · benzer ilanlarda %15
CV'nde karşılığı: LLM, RAG ve OpenAI ile yaptığın sorguyu, panoyu ya da raporu sonucuyla anlat.
Bulut, DevOps, altyapı ve güvenlik
- AWS · ilanda 1 kez · benzer ilanlarda %24
CV'nde karşılığı: AWS için kurulum, işletim ya da otomasyon rolünü açıkça yaz.
Terimler ilan metninden kural tabanlı sözlükle çıkarıldı; sözlük dışı beceriler listelenmez.
Takibe ekle ve CV'ni bu ilana göre hazırlaBenzer İlanlarda Beceri ve Deneyim Dağılımı
Aynı başlıkta 10'dan az ilan olduğu için karşılaştırma "Yapay zekâ ve makine öğrenmesi" rol ailesindeki 367 ilanla (bu ilan dahil) yapıldı; bu ilanlar 17 Nisan ile 19 Ekim 2026 arasında yayımlandı.
| Anahtar kelime | İlan | Pay | Bu ilanda |
|---|---|---|---|
| PythonProgramlama dilleri, çatılar ve platformlar | 231 | %63 | Geçiyor |
| LLMVeri, analitik ve yapay zekâ | 181 | %49 | Geçiyor |
| Machine learningVeri, analitik ve yapay zekâ | 138 | %38 | Geçmiyor |
| RAGVeri, analitik ve yapay zekâ | 128 | %35 | Geçiyor |
| Generative AIVeri, analitik ve yapay zekâ | 109 | %30 | Geçmiyor |
| CI/CDBulut, DevOps, altyapı ve güvenlik | 100 | %27 | Geçmiyor |
| AzureBulut, DevOps, altyapı ve güvenlik | 91 | %25 | Geçmiyor |
| PyTorchVeri, analitik ve yapay zekâ | 88 | %24 | Geçmiyor |
Aranan asgari deneyim
Deneyim yılı belirten 200 benzer ilanda ortanca beklenti 4 yıl.
| Asgari deneyim | İlan | Pay |
|---|---|---|
| 0-1 yıl | 16 | %8 |
| 2-3 yıl | 83 | %42 |
| 4-5 yıl | 72 | %36 |
| 6 yıl ve üzeri | 29 | %14 |
Benzer ilanların 152 tanesi (%41) İngilizce bilgisi istiyor.
Kaynak: cvanaliz'deki aktif ilanlar; bir terimin geçmesi zorunlu olduğu anlamına gelmez.
Proxify Hakkında
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. Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. 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). Şirketin diğer ilanlarını inceleyerek ekipler ve aranan yetkinlikler hakkında daha geniş bir görünüm elde edebilirsin.
Proxify iş ilanlarını görProxify Tarafından Yayımlanan Diğer İlanlar
Bu işverenin cvanaliz'de listelenen 30 ilanı daha var; en yeni 12 tanesi aşağıda.
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