Job Summary
We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy cutting-edge AI applications powered by Large Language Models (LLMs) and Generative AI technologies. The ideal candidate will have experience building AI-driven solutions, integrating foundation models, implementing Retrieval-Augmented Generation (RAG), and optimizing AI systems for production environments.
The Generative AI Engineer will collaborate with cross-functional teams to create intelligent applications that enhance automation, decision-making, customer engagement, and business productivity.
Key Responsibilities
- Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
- Develop AI-powered chatbots, virtual assistants, and intelligent automation solutions.
- Fine-tune and customize foundation models for specific business use cases.
- Implement prompt engineering strategies to improve model performance and response quality.
- Integrate AI models with enterprise applications and APIs.
- Create vector database solutions for semantic search and knowledge retrieval.
- Monitor, evaluate, and improve model accuracy, latency, and reliability.
- Collaborate with Data Scientists, Machine Learning Engineers, and Product Teams.
- Ensure compliance with AI governance, security, privacy, and responsible AI practices.
- Stay updated with emerging Generative AI technologies and industry trends.
- Develop documentation and best practices for AI model deployment and maintenance.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- 3+ years of experience in Machine Learning, AI Engineering, or related roles.
- Strong proficiency in Python programming.
- Experience with Generative AI frameworks and LLM technologies.
- Knowledge of machine learning algorithms and deep learning concepts.
- Experience deploying AI solutions in cloud environments.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
Technical Skills
Programming Languages
- Python
- SQL
- JavaScript (Preferred)
AI & Machine Learning
- Large Language Models (GPT, Llama, Claude, Gemini)
- Prompt Engineering
- Fine-Tuning
- Deep Learning
- NLP (Natural Language Processing)
- Transformer Architectures
Frameworks & Tools
- LangChain
- LlamaIndex
- Hugging Face
- OpenAI API
- TensorFlow
- PyTorch
Vector Databases
- Pinecone
- Weaviate
- ChromaDB
- FAISS
Cloud Platforms
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
MLOps & DevOps
- Docker
- Kubernetes
- MLflow
- GitHub Actions
- CI/CD Pipelines
Preferred Qualifications
- Experience building enterprise AI products.
- Knowledge of AI security and governance frameworks.
- Experience with multi-agent AI systems.
- Familiarity with model evaluation and observability tools.
- Experience working in Agile development environments.
Benefits
- Competitive Salary
- Performance Bonus
- Health, Dental, and Vision Insurance
- Paid Time Off (PTO)
- Remote Work Flexibility
- Professional Development and Training Programs
- Career Growth Opportunities
