Job Title

OverviewWe are looking for a highly skilled AI/ML Engineer with expertise in retrieval-augmented generation (RAG), model fine-tuning and AI Agents. The ideal candidate is a person who thrives on independent problem-solving — someone who can take a loosely defined challenge, explore solution paths, make informed decisions, and clearly present their approach. The ideal candidate will be comfortable owning ideas from inception through implementation in scalable, production-grade systems.Responsibilities: AI Model Development and Fine-Tuning: Fine-tune large language models (LLMs) including generating training data, running experiments and optimizing hyperparameters. Implement and optimize retrieval-augmented generation (RAG) techniques. Experiment with different model architectures and fine-tuning strategies.AI Agents and Advanced AI Methods: Implement AI agents, multi-agent systems and other advanced AI techniques to meet business needs. Develop innovative solutions using cutting-edge AI technologies and methodologies. Stay updated with the latest research and advancements in AI/ML.Data Management and Preprocessing: Implement production grade systems to collect, preprocess, and manage large datasets for training and evaluation. Implement data augmentation and feature engineering techniques to improve model performance. Ensure data quality and integrity throughout the AI/ML pipeline.Model Evaluation and Optimization: Evaluate model performance using appropriate metrics and benchmarks. Optimize models for speed, efficiency, and scalability. Conduct thorough testing and validation of AI models.Integration and Deployment: Collaborate with software engineers to integrate AI models into production systems. Develop APIs and interfaces for seamless interaction with AI models. Monitor and maintain deployed models, ensuring their continued performance and accuracy.Collaboration and Communication: Work closely with cross-functional teams to understand requirements and deliver AI solutions. Communicate complex technical concepts to non-technical stakeholders. Provide technical guidance and mentorship to junior team members.Qualifications Education and Experience: Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3+ years of experience in AI/ML engineering with a focus on building AI agentic systems and model fine-tuning.Technical Skills: Strong proficiency in Python and ML frameworks (PyTorch, etc.). Knowledge of software engineering best practices and version control systems (Git). Experience with large language models (GPT, BERT, Llama, etc.) and retrieval-augmented generation (RAG). Proficient in fine-tuning pre-trained models for specific tasks. Solid understanding of advanced AI methods, including AI agents and multi-agent systems. Experience with data preprocessing, augmentation, and feature engineering. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.Soft Skills: Excellent problem-solving and analytical skills. Strong builder mentality and comfortable writing production grade code using Git. Strong communication and teamwork abilities. Ability to work in a fast-paced, startup environment. Attention to detail and a commitment to delivering high-quality work.Preferred Qualifications: Contributions and/or publications within the AI/ML research community and experience bringing AI/ML ideas to reality Experience or knowledge of networking and security (campus, datacenter or cloud). Experience using AI Dev Tools, including for coding, for substantial improvements to productivity