GenAI Engineer

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

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.