Responsibilities
- Build and ship AI-powered product features using LLMs, NLP, and agent-based workflows.
- Develop backend services and APIs that support model inference, orchestration, and tool execution.
- Implement LLM workflows, including pipelines, retrieval (RAG) systems, and goal-oriented agent behaviors.
- Work closely with Product Managers and Designers to turn AI-driven ideas into working features.
- Collaborate with ML engineers to integrate, evaluate, and productionize models.
- Write clean, maintainable, and well-tested code.
- Participate in code reviews and contribute to technical discussion.
- Help improve system performance, reliability, and scalability.
Qualifications
- 3-5 years of professional software engineering experience.
- Strong experience building backend or full-stack applications.
- Proficiency in Python and at least one other language (Java, Go, or TypeScript).
- Hands‑on experience integrating LLMs, NLP, or ML‑powered features.
- Familiarity with APIs, distributed systems, and backend services.
- Understanding of prompting, embeddings, and model inference.
- Solid software engineering fundamentals (testing, debugging, system design).
- Product mindset with a focus on real‑world impact and usability.
- Experience with agentic systems, workflows, or orchestration frameworks.
- Exposure to RAG Architecture Design & Evaluation.
- Experience working in AI‑first or fast‑moving product teams.
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