AI Software Engineer

AI Software Engineer 1

You will work closely with cross-functional teams to translate business requirements into working AI solutionsranging 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), LLMs frameworks (Autogen/SmolAgents/Langchain) & VLMs
• 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.