Proxify AB: Senior Python AI Engineer | JobSetuu
WWR Employer
Posted 2 days ago • Via weworkremotely.com
Description
Job Overview
- Source: WeWorkRemotely
Job Description
Headquarters: Sweden
URL: http://career.proxify.io
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.
To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-python-ai-engineer-4
Expert Career Tips for Proxify AB: Senior Python AI Engineer Roles
To succeed in a competitive market as a Proxify AB: Senior Python AI Engineer, you need more than just technical skills. Here are some expert strategies to elevate your profile:
- Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
- Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
- Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Proxify AB: Senior Python AI Engineer requirements.
- Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
- Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.
Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.
Salary & Compensation
Salary not disclosed; typically competitive for the role.
Work Arrangement
Type: On-Site
Standard business hours at the office.
Comprehensive Application Strategy & Hiring Process
Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:
1. Initial Research & Tailoring
Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.
2. The Perfect Cover Letter
If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.
3. Navigating the Multi-Stage Interview
Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.
4. Post-Interview Follow-Up
Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.
By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.
Typical Interview Process
- Resume screening
- HR call
- Skill interview
- Final manager interview
- Offer
Tip: Research the company's products and culture.
Global Market Intelligence & Relocation Insights
At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:
The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.
Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.
Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.
Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.
Skills & Competency Roadmap for Professional Development
To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:
- Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
- AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
- Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
- Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.
By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.
Apply via JobSetuu
Discover your next career milestone on JobSetuu. This Proxify AB: Senior Python AI Engineer position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.
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