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)