Generative AI Software Engineer

You will be working with a Leading MNC Bank in Bangalore with 1 to 2 years of experience. Your main responsibilities will include: - Participating in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts - Identifying opportunities for service quality and availability improvements within the technology domain environment - Designing, coding, testing, debugging, and documenting for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments - Reviewing and analyzing technical assignments or challenges related to low to medium risk deliverables, requiring research, evaluation, and selection of alternative technology domains - Presenting recommendations for resolving issues or escalating issues as needed to meet established service level agreements - Exercising some independent judgment while developing an understanding of the given technology domain in reference to security and compliance requirements - Providing information to technology colleagues, internal partners, and stakeholders Qualifications Required: - 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, education Desired Qualifications: - Working as a Generative AI engineer developing enterprise-scale AI applications - Designing, implementing, and optimizing LLM-based solutions using state-of-the-art frameworks - Leading Gen AI initiatives focused on developing intelligent agents and conversational systems - Designing and building robust LLM interfaces and orchestration pipelines - Developing evaluation frameworks to measure and improve model performance - Implementing prompt engineering techniques to optimize model outputs - Integrating Gen AI capabilities with existing enterprise applications - Building and maintaining frontend interfaces for AI applications - Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) - Basic knowledge of model context protocols, RAG architectures, and embedding techniques - Experience with model evaluation frameworks and metrics for LLM performance - Proficiency in frontend development with React.js for AI applications - Experience with UI/UX design patterns specific to AI interfaces - Experience with vector databases and efficient retrieval methods - Knowledge of prompt engineering techniques and best practices - Experience with containerization and microservices architecture - Strong understanding of semantic search and document retrieval systems - Working knowledge of both structured and unstructured data processing - Experience with version control using GitHub and CI/CD pipelines - Experience working with globally distributed teams in Agile scrums Job Expectations: - Understanding of enterprise use cases for Generative AI - Knowledge of responsible AI practices and ethical considerations - Ability to optimize AI solutions for performance and cost - Well versed in MLOps concepts for LLM applications - Staying current with rapidly evolving Gen AI technologies and best practices - Experience implementing security best practices for AI applications,