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.