Posted on: 13/01/2026
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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