StatusNeo - AI Engineer

Job Title : AI Engineer

Experience : 9+ Years

Location : Bangalore (Work From Office – 5 Days)

Employment Type : Full-Time

Job Description :

We are looking for a seasoned AI Engineer with over 9 years of experience in designing and deploying AI / ML solutions, with a strong focus on Generative AI (GenAI) and Large Language Models (LLMs) . The ideal candidate should have deep expertise in Python , machine learning , and artificial intelligence , along with a strong understanding of real-world AI productization.

As part of our advanced tech team in Bangalore , you will play a critical role in building and integrating AI-powered applications that solve real business problems.

Key Responsibilities :

Design, develop, and deploy AI / ML solutions with a focus on Generative AI and LLMs (e.g., GPT, BERT, Claude, etc.)

Fine-tune and customize foundation models for specific domain or business requirements

Develop intelligent systems using Python and modern ML frameworks

Collaborate with cross-functional teams including product, data engineering, and design to integrate AI into core products

Evaluate, test, and implement third-party APIs, libraries, and models relevant to AI / ML / LLM tasks

Optimize model performance, latency, and scalability for production use

Stay up to date with the latest advancements in AI, machine learning, and GenAI technologies

Required Skills :

9+ years of professional experience in AI / ML roles

Strong expertise in Generative AI , LLMs , and natural language processing (NLP)

Proficient in Python and libraries like TensorFlow, PyTorch, Hugging Face Transformers

Solid background in machine learning algorithms , deep learning, and model evaluation techniques

Experience deploying and maintaining ML models in production

Strong problem-solving skills and ability to handle ambiguity in requirements

Good to Have :

Experience with prompt engineering and few-shot / fine-tuning techniques

Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)

Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines

Cloud experience (AWS, GCP, or Azure)