We are seeking a skilled Generative AI Engineer to join our team and lead the development of innovative AI solutions.

Your expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications.

You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence.

Join us and be part of a dynamic team that is shaping the future of AI.

Role : Python AI Engineer

Location : Hyderabad

Experience : 4+ years

Job Description :

- 4+ years of experience in AI/ML and 4+ year in Generative AI.

- Hands-on experience with LangChain, LLM orchestration, and RAG patterns.

- Proficiency with search databases like Elasticsearch, OpenSearch, Vespa, or Weaviate.

- Experience with vector embeddings (e.g., FAISS, Chroma, Pinecone)

Generative AI Engineer job responsibilities :

- Design and develop algorithms for generative models using deep learning techniques.

- Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.

- Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies.

- Optimize and fine-tune generative models for performance and efficiency.

- Troubleshoot and resolve issues related to generative AI models and implementations.

- Create and maintain documentation for generative AI models and their applications.

- Communicate complex technical concepts and findings to non-technical stakeholders.

Generative AI Engineer job requirements :

- Strong background in machine learning and deep learning algorithms.

- Proficiency in Python, TensorFlow, and PyTorch for developing AI models.

- Experience in generative AI techniques such as GANs and VAEs.

- Ability to design and implement scalable and efficient AI systems.

- Advanced knowledge of natural language processing for text generation tasks.

- Familiarity with computer vision and image generation using AI.

- Skills in data preprocessing and feature engineering for AI model training.

- Strong understanding of neural network architectures and optimization techniques.

- Experience in deploying AI models into production environments.

- Ability to stay updated with the latest advancements in generative AI research and incorporate them into work

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