Senior Python Engineer (LLM/RAG)

We seek an experienced Python developer with strong knowledge of FastAPI or similar frameworks and hands-on experience integrating large language models (LLMs) into web applications and services.

Project 1: Advanced AI Reasoning Solution for Oil & Gas Industry

Our client is a US-based startup that is building an advanced reasoning platform that leverages a sophisticated knowledge graph to transform raw structured and unstructured enterprise data into actionable insights for critical decision-making.

Project 2: Voice AI Agents Platform

Scalable and fully customizable AI voice Agents platform (currently in Beta) that can be adapted to specific client needs and integrated into existing apps.

Duties and responsibilities

• Design, develop, and maintain web applications using FastAPI or similar frameworks.
• Integrate LLMs (OpenAI, GPT, etc.) into applications to create AI-powered features.
• Optimize applications for performance, security, and scalability.
• Write clean, maintainable, and well-documented code.
• Troubleshoot and debug issues to improve the performance of applications.
• Stay updated with the latest trends and best practices in Python development and AI integration.

Required skills and experience

• Strong experience in Python development (4+ years).
• Proven expertise in FastAPI or similar frameworks.
• Hands-on experience integrating Large Language Models (e.g., GPT, LLAMA) into applications.
• Familiarity with RESTful API design and microservices architecture.
• Experience with Docker, Kubernetes, or similar container orchestration tools.
• Knowledge of database technologies such as PostgreSQL or MongoDB.
• Proficient with version control tools such as Git.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently as well as in a collaborative team environment.

Will be a plus:

• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with asynchronous programming (e.g., asyncio).
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with graph databases (e.g., Neo4j).
• Understanding of Retrieval-Augmented Generation (RAG) applications.
• Experience with STT and TTS models, like Deepgram, Whisper, and ElevenLabs.

What’s in it for you

• You will be working as a part of our engineering team as an individual contributor, meaning that a lot will depend on you.
• You will have to learn how to co-create and co-design the product, not just write code based on the pre-digested specifications written for you by somebody else.
• As an end-to-end co-product designer/software engineer, you will learn to deliver more value.
• You will develop much faster than the fractional role at one of the big “galleys.”