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Job Description

Description :


Requirements :


- 3+ years of experience leading self-directed, distributed teams in a fast-paced environment with direct people management.


- Strong leadership and communication skills, with the ability to drive decision-making and inspire teams to achieve goals.


- Proficiency in Agile/Scrum frameworks and tools for project planning and execution.


- Technical expertise in machine learning, AI, and software engineering, with experience in SaaS environments, is preferred.


- Experience with DevOps practices, technical support, and managing on-call rotations.


- Proven track record of mentoring and developing engineers at various career stages.


- Familiarity with NLP or information retrieval is a plus.


- Bachelor's or master's degree in a related field, with a focus on machine learning, artificial intelligence, or software engineering.


- Design and build our initial AI infrastructure, selecting the right stack (LLMs, Vector DBs, Frameworks) for long-term scalability.


- Rapid Prototyping : Build, test, and iterate on AI features in days, not months.


- Technical Leadership : Set the standards for engineering excellence, documentation, and AI ethics as we grow the team.


Key Responsibilities :


- System Design : Develop and maintain complex RAG (Retrieval-Augmented Generation) pipelines and agentic workflows to solve domain-specific problems.


- Model Optimization : Fine-tune open-source models (Llama, Mistral, etc.) and optimize prompts/inference for latency, cost, and accuracy.


- Full-Stack Integration : Build the backend services and APIs required to serve AI features to end-users reliably.


- Data Engineering : Establish data flywheels collecting, cleaning, and labeling data to continuously improve model performance.

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