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Python Engineer
About the role
Rezolve.ai is an AI‑first SaaS company focused on generative AI solutions for ITSM and HR. We build a world‑class agentic AI platform that helps organizations streamline support and operations. We’re looking for a Python Engineer to design and scale data pipelines, craft LLM prompts, and expose them through secure, high‑performance APIs. The role requires deep Python expertise, experience with data engineering tools (Pandas, PySpark, Airflow), and hands‑on work with LLMs (OpenAI, Hugging Face). You’ll collaborate with data scientists, product managers, and other engineers to integrate data solutions and LLM functionality into our platform. The ideal candidate is comfortable with cloud services (AWS, Azure, GCP), containerization (Docker), and API security (OAuth, JWT). You’ll also document designs, monitor performance, and iterate on prompt engineering to deliver high‑quality results. Join us to accelerate your career while driving innovation in AI‑powered support.
What you’ll do
- Build and maintain scalable data pipelines for LLM ingestion
- Optimize data workflows for large datasets
- Develop and refine LLM prompts for specific use cases
- Design, deploy, and secure RESTful APIs hosting LLM solutions
- Integrate monitoring, logging, and performance tracking
- Collaborate cross‑functional teams and document technical designs
What you’ll bring
- Strong Python programming and production‑grade application experience
- Proficient with Pandas, PySpark, Airflow for data pipelines
- Hands‑on with LLMs (OpenAI, Hugging Face) and prompt engineering
- API design using FastAPI or Flask, secure with OAuth/JWT
- Cloud platform (AWS/Azure/GCP) and Docker containerization skills
Nice to have
- Vector database experience (Pinecone, Weaviate, FAISS)
- MLOps tools (MLflow, Kubeflow) familiarity
- Streaming tech (Kafka, Spark Streaming) exposure
- LLM fine‑tuning with PyTorch/TensorFlow
- Monitoring tools (Prometheus, Grafana, Datadog)