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Senior Python AI Engineer
Nimbus Data Systems · Remote · Indexed today
About the role
Design and develop backend systems and APIs for AI-powered applications using Python and deep learning frameworks.
Remote Senior Python AI Engineer at Nimbus Data Systems
Senior Python AI Engineer
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About us:
Talent has no borders. Nimbus Data Systems’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, Nimbus Data Systems’s developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Nimbus Data Systems and its network to fulfill their dreams and objectives.
Nimbus Data Systems 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 Nimbus Data Systems.
– 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 Nimbus Data Systems.
About Nimbus Data Systems
Company profile
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Read the full posting on nodesk →
Responsibilities
- ▸Design and develop backend systems and APIs for AI applications
- ▸Build scalable backend systems and APIs
- ▸Collaborate with cross-functional teams
Must-have skills
- ▸python
- ▸fastapi
- ▸flask
- ▸django
- ▸pytorch
- ▸tensorflow
- ▸llms
- ▸restful apis
- ▸microservice architectures
- ▸sql
- ▸nosql
- ▸git
Nice-to-have skills
- ▸streamit
- ▸gradio
- ▸kubernetes
- ▸aws
- ▸azure
- ▸gcp
FAQ
Is the Senior Python AI Engineer role at Nimbus Data Systems remote?+
This Senior Python AI Engineer position is listed as remote (Remote).
What is the salary for the Senior Python AI Engineer role at Nimbus Data Systems?+
The listing states Estimated 113k-258k USD.
What seniority level is this Senior Python AI Engineer role?+
This is a senior level position.
What skills does the Senior Python AI Engineer role require?+
Key requirements include python, fastapi, flask, django, pytorch, tensorflow, llms, restful apis.
How do I apply for the Senior Python AI Engineer role at Nimbus Data Systems?+
Use the "Apply on nodesk" button to open the original posting on nodesk, where you can submit your application directly to Nimbus Data Systems.