
GenAI Engineer
21 hours ago
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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