Job Summary
We are seeking a highly skilled
Generative AI Engineer(GenAI) to design, develop, and deploy cutting-edge generative AI solutions. The ideal candidate will have hands-on experience with
large language models (LLMs),
Retrieval-Augmented Generation (RAG), vector databases, and cloud-based AI services. You will collaborate with cross-functional teams to build scalable, production-grade AI systems and drive innovation across business workflows.
Key Responsibilities
- Design and develop AI-driven application solutions using generative models, RAG frameworks, vector databases, and vector search technologies.
- Integrate generative AI solutions into existing enterprise workflows and systems.
- Fine-tune and optimize large language models for performance, scalability, and efficiency.
- Build and manage robust data pipelines for large-scale dataset handling, model training, and evaluation.
- Conduct research on emerging generative AI trends, tools, and methodologies.
- Implement rigorous testing frameworks and develop scalable, maintainable AI systems.
- Evaluate model outputs using appropriate performance metrics, ensuring bias and fairness considerations.
- Troubleshoot and resolve issues related to AI models and deployment workflows.
- Maintain comprehensive technical documentation.
- Leverage AI coding assistants (e.g., GitHub Copilot) and version control systems (Git) for efficient development.
- Communicate complex AI concepts and technical findings to non-technical stakeholders.
Required Qualifications
- 3–7 years of professional experience in AI/ML or related domains.
- Strong proficiency in Python and prompt engineering techniques.
- Hands-on experience with leading generative AI models (e.g., Claude, OpenAI GPT, Gemini), including fine-tuning and customization.
- Experience with AWS Bedrock (model access, knowledge base implementations).
- Working knowledge of Azure OpenAI services.
- Strong experience with AWS serverless architecture; familiarity with Azure or GCP is an advantage.
- Experience in building scalable data pipelines and handling large datasets.
- Knowledge of model evaluation metrics, bias detection, and fairness assessment.
- Experience with AI coding assistants and version control tools (Git).
- Strong documentation, collaboration, and communication skills.
Preferred Skills
- Experience in production-grade AI deployments.
- Strong analytical and problem-solving abilities.
- Ability to read, analyze, and implement recent AI research papers.
- Experience working in Agile environments.
Skills: agentic ai,llm,aws,generative ai
