Python Developer(Generative AI)

6 days ago

Gurgaon, Haryana, India BigStep Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

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