Python Developer(Generative AI)

We are seeking a skilled Python Developer with 4-6 years of experience, along with hands-on Generative AI, to join our growing technology team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge AI models and applications, with a focus on large language models, text-to-image systems, and other GenAI solutions. This role requires strong programming expertise, problem-solving abilities, and a passion for innovation in AI.
Responsibilites

• Design, build, and optimize AI-driven applications using Python and modern ML/GenAI frameworks.
• Develop and fine-tune large language models (LLMs) and foundation models for business use cases.
• Implement prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning pipelines.
• Work with APIs and SDKs (e.g., OpenAI, Hugging Face, LangChain, LlamaIndex) to integrate AI solutions.
• Build scalable backend systems and microservices to support AI model deployment.
• Collaborate with data scientists, ML engineers, and product teams to deliver AI-powered features.
• Maintain clean, efficient, and testable code while ensuring model performance and reliability.
• Stay updated with the latest advancements in GenAI, LLMs, and applied AI research.
  

Skills Required

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.
• 4-6 years of professional software development experience, with at least 2+ year focused on AI/ML or GenAI.
• Strong proficiency in Python and OOP concepts.
• Hands-on experience with machine learning and deep learning libraries (PyTorch, TensorFlow).
• Solid understanding of Generative AI concepts: LLMs, transformers, embeddings, diffusion models.
• Experience with frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, or similar.
• Knowledge of APIs for text, image, or multimodal generative models.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Understanding of vector databases (Pinecone, Weaviate, FAISS, Milvus) for RAG pipelines.
• Familiarity with MLOps practices such as model monitoring, versioning, and deployment.
• Strong problem-solving ability, communication skills, and ability to work in a fast-paced environment.