GenAI Engineer

4 weeks ago

Hyderabad, India Enterprise Minds, Inc Full time
At Enterprise Minds, we empower businesses through intelligent systems, data-driven solutions, and agile digital transformation. Headquartered in San Ramon, California, with thriving tech hubs in Hyderabad and Pune, we are a fast-growing company redefining how AI, ML, and automation drive real-world results.
Why Work with Us?
- Innovation-First Culture: Collaborate on AI/ML, digital twins, and cloud engineering projects that make a real difference.
- Career Growth: Work alongside industry experts and access continuous learning opportunities.
- Global Impact: Deliver mission-critical solutions for enterprise clients worldwide.
- People-Centric Environment: Enjoy work-life balance, mentorship, and a supportive team culture.
Job Description – Generative AI Engineer
Location: Hyderabad, India
Experience: 5–8 years
Job Type: Full-time
About the Role
We are looking for an experienced Generative AI Engineer to design, build, and deploy advanced AI/ML solutions using LLMs and GenAI frameworks. The ideal candidate will have a strong background in machine learning, natural language processing, and hands-on experience with generative models (text, code, vision, or multimodal). You will collaborate with cross-functional teams to build scalable, secure, and high-performance GenAI solutions that drive business transformation.
Key Responsibilities
- Design, develop, and fine-tune large language models (LLMs) and generative AI models for enterprise use cases.
- Implement prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning approaches for domain-specific tasks.
- Build scalable APIs and microservices to integrate AI models into products and platforms.
- Work with large datasets to preprocess, clean, and optimize for training and inference.
- Evaluate model performance and optimize for latency, accuracy, and efficiency.
- Collaborate with product, data engineering, and DevOps teams to deploy AI solutions in production.
- Stay updated on the latest developments in GenAI, multimodal models, and MLOps practices.
- Ensure responsible AI practices, including bias detection, data privacy, and compliance.
Required Skills & Qualifications
- Education: B.Tech / M.Tech / MS in Computer Science, AI/ML, Data Science, or a related field.
- Experience: 5–8 years in AI/ML development, with at least 2–3 years in NLP / LLM / GenAI.
- Strong knowledge of Python and frameworks like PyTorch / TensorFlow.
- Hands-on experience with transformer models (GPT, LLaMA, BERT, etc.) and vector databases (FAISS, Pinecone, Weaviate).
- Experience in fine-tuning LLMs, embeddings, and RAG pipelines.
- Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Familiarity with MLOps pipelines (CI/CD, MLFlow, Kubeflow, or Vertex AI).
- Strong problem-solving skills and ability to translate business problems into AI solutions.
Good to Have
- Experience with multimodal models (text + image / audio).
- Familiarity with LangChain, LlamaIndex, Hugging Face ecosystem.
- Knowledge of reinforcement learning (RLHF).
- Prior experience in renewable energy, utilities, or industrial AI domains.

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