Senior AI/ML Engineer
Proxify
Job Overview
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Job Description
About Proxify
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: Senior AI/ML Engineer
We are looking for a senior-level Machine Learning Engineer to spearhead the AI strategy and architecture for one of our clients. This is a pivotal leadership role designed for an engineer who can move beyond basic API integrations to build a robust, production-grade AI engine that drives core business value.
What We Are Looking For:
- Machine Learning Engineering: Proven experience building and deploying ML models in a production environment, specifically focused on Natural Language Processing (NLP) or Recommendation Systems.
- Advanced LLM Implementation: Deep expertise in working with Large Language Models (e.g., GPT-4, Llama 3) beyond simple API calls, including context window management and cost optimization.
- Agentic Frameworks & RAG: Strong proficiency in building agentic workflows and implementing retrieval mechanisms (e.g., Vector Databases, SQL-aware AI agents).
- Software Engineering: Strong Python skills and the ability to work within a backend ecosystem to ensure AI features are scalable and stable.
- Strategic Ownership: Ability to translate client needs into a technical roadmap and defend architectural choices to stakeholders.
- Intermediate-advanced English level.
- Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.
Nice-to-Have Skills:
- Specialized Fine-Tuning: Experience in fine-tuning open-source models for niche industry domains.
- Data Science Foundations: Background in data cleaning, preprocessing, and exploratory data analysis to support custom model training.
- Geographical Preference: Candidates located within European time zones or those open to future relocation to Berlin.
Responsibilities:
- Architectural Leadership: Act as the primary technical authority for AI/ML decisions, selecting appropriate models (LLMs, SLMs) and frameworks based on specific business use cases.
- Roadmap Execution: Lead the transition from generic model utilization to sophisticated, data-integrated architectures, targeting custom fine-tuning by mid-2024.
- System Integration: Design and implement agentic workflows and RAG (Retrieval-Augmented Generation) systems that interface seamlessly with existing backend services.
- Performance Optimization: Advance beyond basic prompt engineering to improve model accuracy, reliability, and responsiveness for client-facing matching algorithms.
- Mentorship & Best Practices: Establish high standards for AI development within the engineering team, providing guidance on "production-grade" AI implementation versus prototyping.
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.
Key skills/competency
- Machine Learning
- Natural Language Processing (NLP)
- Recommendation Systems
- Large Language Models (LLMs)
- Agentic Frameworks
- RAG (Retrieval-Augmented Generation)
- Python Programming
- Backend Engineering
- AI Architecture
- Strategic Thinking
How to Get Hired at Proxify
- Research Proxify's culture: Study their mission connecting global developers, remote work values, and developer testimonials on Glassdoor/Trustpilot.
- Tailor your resume for AI/ML: Highlight strong Python, NLP, LLM, and RAG expertise, demonstrating production deployment experience.
- Showcase your leadership: Provide examples of spearheading AI strategy, architectural decisions, and mentoring in previous roles.
- Prepare for a technical deep dive: Expect questions on LLM advanced implementations, agentic frameworks, and scalability in backend ecosystems.
- Demonstrate strategic thinking: Be ready to discuss translating client needs into technical roadmaps and defending architectural choices.
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