Artificial Intelligence Engineer - Data Modeling

Responsibilities :

- Design, build, and scale production-grade GenAI agents.

- Work with LLM frameworks, agentic systems, RAG pipelines, and eval tooling.

- Build backend services and APIs that power Sentient Chat and future AI-native products.

- Collaborate with researchers, infra engineers, and product teams to ship iteratively and intelligently.

- Help define best practices for prompt engineering, model selection, and continuous evaluation.

- Stay close to the bleeding edge of AI, testing, and integrating advances quickly.

Requirements :

- 5-10 years of backend software engineering experience (Python, Node.js, Go, or similar).

- 2-4 years working directly with Generative AI systems (LLMs, diffusion models, or agents).

- Understanding of scalable infrastructure and deploying AI in production.

- Bonus: experience with model training, fine-tuning, or hosting open-source LLMs (vLLM, LoRA, etc. )

- A builder's mindset is curious, fast-moving, and unafraid of ambiguity.

Proven experience with :

- Agentic frameworks (LangChain, AutoGen, CrewAI, etc. ).

- Retrieval-augmented generation (RAG) and semantic search.

- Prompt design, task decomposition, and evaluation pipelines.