Senior Offshore AI Engineer

We are seeking Senior AI Engineers to join our team, working with a leading FinTech client to develop innovative AI solutions. Our client is building a GenAI Developer Assistantan end-to-end GenAI-driven SDLC assistant framework. This platform leverages advanced GenAI technologies to accelerate product development and deployment, fostering innovation and delivering services to customers swiftly.

The Senior AI Engineer focuses on fine-tuning and optimizing large language models to meet the customers SDLC requirements, ensuring relevant outputs for tasks like code suggestions and documentation.

Optimize model performance for specific use cases and integrate LLMs into SDLC workflows.

The role involves managing vector and graph databases to support efficient data retrieval in the GenAI pipeline, designing and maintaining database structures, and optimizing query performance for the RAG pipeline.

Additionally, work closely with AI engineers to align data needs with model performance and implement strategies for scaling the database systems to support growth.

• Programming Languages: Python, TypeScript, Kotlin (for IDE plugin development and AI integrations).
• IDEs: PyCharm, IntelliJ, VS Code (focus on building AI capabilities and integration with these IDEs).
• Database Management: Vector databases (e.g., Pinecone, Weaviate), Graph databases (e.g., Neo4j).
• RAG Pipelines: Experience with implementing and optimizing Retrieval-Augmented Generation pipelines for LLMs.
• LLM Tools: Familiarity with GPT models, Llama2, or Code Bison for fine-tuning and optimization.
• Database Optimization: Query performance tuning, indexing strategies, and managing database scalability.

• Testing Frameworks: pytest, JUnit (for testing integrations).
• Version Control: Git (to manage SDLC workflow integration).
• Collaboration Tools: Slack, Jira (for communication and project tracking).
• Multi-Agent Frameworks: Experience with frameworks that support multi-agent coordination and interactions.