AI Solution Developer

AI Solutions Developer (Python / LangChain / PyTorch / TensorFlow) We are seeking a highly skilled AI Solutions Developer with strong expertise in building end‑to‑end AI/ML applications using Python and modern AI frameworks such as LangChain, PyTorch, and TensorFlow. The role involves designing, developing, and deploying intelligent solutions including LLM‑powered applications, machine learning models, automation pipelines, and AI‑driven integrations. Design, build, and optimize machine learning and deep learning models using PyTorch, TensorFlow, and related frameworks. Develop applications powered by Large Language Models using LangChain, vector databases, embeddings, and prompt orchestration frameworks. Build scalable AI services, automation tools, and backend components using Python. Prepare, transform, and manage datasets; build feature pipelines and model training workflows. Deploy models into production using APIs, containerization (Docker), CI/CD, and cloud platforms. Perform model tuning, evaluation, and performance optimization to ensure accuracy, efficiency, and reliability. Work closely with product, engineering, and business teams to translate strategic requirements into AI‑driven technical solutions. Stay up‑to‑date with emerging AI technologies, evaluate new tools, and prototype innovative solutions. Strong hands-on experience with Python for AI/ML development. Proficiency with PyTorch, TensorFlow, or similar deep learning frameworks. Experience developing LLM‑based applications using LangChain, embeddings, vector databases (FAISS, Chroma, Pinecone), or similar technologies. Ability to design and implement end‑to‑end ML pipelines (training, validation, deployment). Strong understanding of machine learning concepts, NLP, and deep learning architectures. Solid experience with APIs, microservices, and cloud-based deployment. Strong analytical, debugging, and problem-solving skills.