Artificial Intelligence Engineer

Role: AI-Ml Backend Engineer

Proven Expertise in Machine Learning, Language Models, and NLP

• 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems.

• Hands on and deep experience with transformer models, embedding based methods, and retrieval augmented techniques, prompt structured or fine tuned LLMs, for reasoning and generation tasks.

• Ability to turn prototypes into stable engineering solutions that perform consistently in production environments.

System Design, Scalability, and Software Engineering Rigor

• Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development.

• Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability.

• Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems.

Business and Product Acumen

• Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality.

• Strong collaboration skills with cross functional partners to align priorities and drive clear, grounded execution.

• Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes.