TP
Listed on Topline Pro’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves building AI agents and chat capabilities to help small service businesses manage operations, focusing on production deployment and scaling of LLM-powered features. It suits engineers with hands-on experience in RAG systems, LLM APIs, and MLOps who want to directly impact a growing product at a well-funded startup.
Our summary, not Topline Pro’s wording. The full posting is on their site.
Skills this role names
- Django
- Fine-tuning
- LangChain
- LangGraph
- MLOps
- Natural Language Processing
- OpenAI API
- PostgreSQL
- Prompt Engineering
- Python
- React
- Retrieval-Augmented Generation
- Vector Databases
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What they ask for
Required
- 5+ years of AI, ML, or NLP engineering experience
- Proficiency in Python
- Real-world experience with Retrieval Augmented Generation and vector databases
- Hands-on experience with OpenAI and Anthropic APIs
- Experience with LLM and NLP techniques including prompt engineering and fine-tuning
- Experience with agentic frameworks such as Pydantic AI or LangChain
- End-to-end MLOps practices including monitoring, deployment, and evaluation
- Production deployment experience with AI-powered applications
- Experience working on cross-functional teams with Product and Design
- Experience in Agile Scrum environment
Nice to have
- Django experience
- React experience
- PostgreSQL experience