Gen AI Engineer
C5i · Bengaluru · onsite · Posted 1d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Job Summary
Key Responsibilities
Required Skill Set
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
We are looking for a highly skilled and experienced GenAI Engineer with strong expertise in Generative AI, Machine Learning, and enterprise AI solution delivery. The ideal candidate will design, build, and deploy production-ready AI systems that solve complex business problems across industries.
The role requires hands-on experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, and modern AI orchestration frameworks. A strong foundation in Machine Learning and advanced analytics is also essential.
Experience in Corporate or Institutional Banking is preferred, especially in domains such as credit, trade finance, treasury, compliance, or relationship management analytics.
The candidate will work closely with business stakeholders, data engineers, architects, and technology teams to translate business use cases into scalable, enterprise-grade AI solutions.
Key Responsibilities
- Design and develop Generative AI solutions using LLMs and RAG frameworks.
- Build AI applications such as chatbots, document summarization, and knowledge assistants.
- Work on prompt engineering, embeddings, and vector database integration.
- Develop and deploy Machine Learning models for business use cases.
- Collaborate with business, engineering, and data teams to deliver scalable AI solutions.
- Optimize model performance, accuracy, and response quality.
- Deploy and monitor AI/ML models in production environments.
- Follow AI governance, security, and best practices.
- Stay updated with the latest trends in Generative AI and Machine Learning.
Required Skill Set
- 4+ years of experience in machine learning, deep learning, or AI research, with a focus on generative models.
- Strong experience in Generative AI and Large Language Models (LLMs).
- Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E).
- Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).
- Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
- Hands-on experience with RAG, prompt engineering, and embeddings.
- Experience with LangChain, LlamaIndex, or similar frameworks.
- Strong understanding of Machine Learning concepts and model development.
- Proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Experience with APIs, model integration, and deployment workflows.
- Knowledge of vector databases and AI solution architecture.
- Exposure to cloud platforms such as Azure, AWS, or GCP.
- Understanding of MLOps and production deployment is preferred.
- Good communication and problem-solving skills.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
BERTcloud platformsapisgoogle cloud platformamazon web servicesai engineerai governanceEmbeddingsAnalyticsBankingdeploymentcloudInstitutional BankingArchitectureAdvanced AnalyticsDeep LearningcomplianceAi SolutionsMicrosoft AzurefinanceGenerative AiArtificial Intelligence