Senior AI Engineer - LLM/NLP

Key Responsibilities :

- Design, develop, and deploy machine learning and generative AI models for real-world business applications.

- Build and maintain scalable AI/ML pipelines and production-ready systems.

- Develop solutions using Large Language Models (LLMs), NLP, deep learning, computer vision, or predictive analytics based on project requirements.

- Fine-tune, evaluate, and optimize AI models for performance, accuracy, and scalability.

- Collaborate with product managers and business teams to understand requirements and translate them into AI-driven solutions.

- Integrate AI services and models into cloud-based or enterprise applications.

- Implement MLOps best practices including model monitoring, versioning, CI/CD, and automation.

- Conduct data preprocessing, feature engineering, and model validation.

- Stay updated with emerging AI technologies, frameworks, and industry trends.

- Mentor junior engineers and contribute to technical leadership within the team.

- Ensure compliance with data security, privacy, and ethical AI standards.

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

- 5+ years of experience in AI/ML engineering or related roles.

- Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.

- Hands-on experience with Generative AI, LLMs, prompt engineering, RAG architectures, and vector databases.

- Experience with cloud platforms such as AWS, Azure, or Google Cloud.

- Knowledge of MLOps tools and deployment frameworks like Docker, Kubernetes, MLflow, or Airflow.

- Strong understanding of machine learning algorithms, deep learning, NLP, and data structures.

- Experience with APIs, microservices, and scalable backend systems.

- Familiarity with SQL, NoSQL databases, and big data technologies is a plus.

- Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications :

- Experience working on enterprise AI products or SaaS platforms.

- Exposure to LangChain, OpenAI APIs, Hugging Face, or similar AI ecosystems.

- Knowledge of model optimization, GPU computing, and distributed training.

- Certifications in AI, cloud computing, or data engineering are an advantage.

What We Offer :

- Opportunity to work on cutting-edge AI technologies and innovative projects.

- Collaborative and growth-oriented work environment.

- Competitive salary and performance-based incentives.

- Learning and development opportunities.

- Flexible work environment and career advancement opportunities.