Senior Python AI Engineer
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:
ā¢ Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django).
ā¢ Deep learning frameworks (PyTorch, TensorFlow) for custom modeling beyond LLM APIs.
ā¢ Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar.
ā¢ Experience with prototyping tools: Streamlit, Gradio
ā¢ Solid experience designing RESTful APIs and microservice architectures.
ā¢ Strong backend development expertise, including databases (SQL/NoSQL).
ā¢ Experience with version control (Git) and CI/CD workflows.
ā¢ Hands-on experience with containerization (Docker, ideally Kubernetes).
ā¢ Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
ā¢ Understanding of security best practices for handling sensitive data.
ā¢ Strong problem-solving skills to address complex challenges and performance bottlenecks.
ā¢ Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders.
ā¢ Ability to work independently while aligning with broader team goals.
ā¢ Intermediate-advanced English level.
ā¢ Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.
AI/ML & LLM Ecosystem:
ā¢ LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex.
ā¢ Retrieval-Augmented Generation (RAG) pipeline design.
ā¢ Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS).
ā¢ Hands-on with LLMs & APIs: OpenAI (GPT-5/5-mini), Anthropic Claude, Google Gemini, Meta Llama, Mistral.
ā¢ Familiarity with AWS Bedrock for accessing and deploying foundation models.
ā¢ Prompt engineering and structured output design (JSON mode, function calling).
ā¢ Model fine-tuning (LoRA, QLoRA) and evaluation frameworks (DeepEval, Ragas).
Responsibilities:
ā¢ Design and develop backend systems and APIs for AI-powered applications.
ā¢ Build and optimize LLM-based workflows, including chatbots, copilots, and automation tools.
ā¢ Implement RAG architectures using vector databases and document pipelines.
ā¢ Integrate and orchestrate cloud-hosted foundation models (AWS Bedrock, OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral).
ā¢ Collaborate cross-functionally with data scientists, product managers, and frontend developers to deliver end-to-end AI products.
ā¢ Ensure performance, scalability, and cost optimization of AI solutions in production environments.
ā¢ 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.
Apply Now
Apply Now
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:
ā¢ Strong proficiency in Python (5+ years), including modern frameworks (FastAPI, Flask, or Django).
ā¢ Deep learning frameworks (PyTorch, TensorFlow) for custom modeling beyond LLM APIs.
ā¢ Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar.
ā¢ Experience with prototyping tools: Streamlit, Gradio
ā¢ Solid experience designing RESTful APIs and microservice architectures.
ā¢ Strong backend development expertise, including databases (SQL/NoSQL).
ā¢ Experience with version control (Git) and CI/CD workflows.
ā¢ Hands-on experience with containerization (Docker, ideally Kubernetes).
ā¢ Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
ā¢ Understanding of security best practices for handling sensitive data.
ā¢ Strong problem-solving skills to address complex challenges and performance bottlenecks.
ā¢ Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders.
ā¢ Ability to work independently while aligning with broader team goals.
ā¢ Intermediate-advanced English level.
ā¢ Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.
AI/ML & LLM Ecosystem:
ā¢ LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex.
ā¢ Retrieval-Augmented Generation (RAG) pipeline design.
ā¢ Experience with vector databases (Pinecone, Weaviate, Milvus, Chroma, FAISS).
ā¢ Hands-on with LLMs & APIs: OpenAI (GPT-5/5-mini), Anthropic Claude, Google Gemini, Meta Llama, Mistral.
ā¢ Familiarity with AWS Bedrock for accessing and deploying foundation models.
ā¢ Prompt engineering and structured output design (JSON mode, function calling).
ā¢ Model fine-tuning (LoRA, QLoRA) and evaluation frameworks (DeepEval, Ragas).
Responsibilities:
ā¢ Design and develop backend systems and APIs for AI-powered applications.
ā¢ Build and optimize LLM-based workflows, including chatbots, copilots, and automation tools.
ā¢ Implement RAG architectures using vector databases and document pipelines.
ā¢ Integrate and orchestrate cloud-hosted foundation models (AWS Bedrock, OpenAI, Anthropic, Google Gemini, Meta Llama, Mistral).
ā¢ Collaborate cross-functionally with data scientists, product managers, and frontend developers to deliver end-to-end AI products.
ā¢ Ensure performance, scalability, and cost optimization of AI solutions in production environments.
ā¢ 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.
Apply Now
Apply Now