Junior AI Application Engineer
📅 Posted 10d ago
📄 Job Description
About the Role
We are looking for a Junior AI Application Engineer to join our GenAI delivery team and help build production LLM/SLM applications.
Responsibilities
- Build defined components of RAG pipelines, agents, and LLM/SLM-backed features from specs handed off by senior engineers.
- Write and test Python code — API endpoints, data pipelines, and integration glue between LLM components and internal systems.
- Assist with fine-tuning, quantizing, and evaluating SLMs under supervision; run benchmarks and document results.
Requirements
- 1–3 years of professional software engineering experience (internships count toward this).
- Solid Python fundamentals; comfortable reading and debugging someone else’s code.
- Some exposure to LLMs/GenAI — coursework, personal projects, hackathons, or prior work experience with LangChain/LlamaIndex, OpenAI/Anthropic APIs, or similar.
What You will Gain
- Direct mentorship from senior Application Engineers and Technical Program Leads on real enterprise GenAI/SLM engagements.
- Hands-on exposure to air-gapped/sovereign AI deployments — a niche, high-value skill set.
- A fast track to owning full features independently within 12–18 months.