AI Software Engineer

Job description

**Job Description:** - As an **AI Software Engineer 1**, you will be a key contributor to the design, development, and deployment of AI-driven solutions across both **Computer Vision** and **Large Language Model (LLM)** domains. You will be responsible for building deep learning models, writing scalable and maintainable code, and integrating these models into production-grade systems. The role demands a strong foundation in AI/ML theory, proficiency in practical deep learning, and a hands-on approach to software development. - You will work closely with cross-functional teams to translate business requirements into working AI solutions—ranging from real-time vision systems to NLP pipelines and user-facing interfaces that interact with AI services. - We are looking for candidates who can thrive in a technically diverse environment and are enthusiastic about pushing the boundaries of applied AI. **Responsibilities:** **Software Engineering & System Integration:** - Write clean, modular, production-ready code for inference pipelines and AI systems. - Develop and maintain interfaces and user-facing components for AI tools and services. - Collaborate with backend and platform teams to integrate models into scalable systems. - Contribute to CI/CD pipelines, code reviews, testing strategies, and performance monitoring. **Deep Learning & AI Model Development:** - Design, train, and evaluate deep learning models for CV and NLP use cases. - Develop end-to-end solutions for: - Computer Vision tasks (object detection, segmentation, OCR, activity recognition). - Language-related tasks (document parsing, question answering, summarization, RAG pipelines, Building LLM Agents to solve tasks). - Optimize model performance using benchmarking and validation against real-world datasets. **Data Management & Curation** : - Plan, collect, and preprocess data across modalities (images, video, text). - Coordinate with internal teams and vendors for annotation and validation tasks. - Define data versioning, quality control, and reproducibility standards. **Research & Innovation:** - Keep up with the latest in deep learning, computer vision, and LLM advancements. - Prototype and evaluate new architectures (e.g., ViTs, SAM, LVMs, LLMs like LLaMA, GPT, Mistral). - Publish internal documentation and contribute to tech blogs or open-source codebases where appropriate. **Requirements:** - Strong programming skills in Python with hands-on experience using deep learning frameworks (PyTorch/TensorFlow), LLM’s frameworks (Autogen/SmolAgents/Langchain) & VLM’s - 1+ years of experience building AI models in at least one domain (CV or NLP). - Proficiency in model lifecycle: training, validation, deployment, and monitoring. - Experience working with Git, Docker, and Linux-based environments. - Good understanding of ML fundamentals: CNNs, Transformers, LLMs, optimization techniques. - Ability to build simple UI components that interface with backend AI services.