Key Responsibilities:
- Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities.
- Implement and optimize LangChain for efficient language model chaining and application.
- Manage and manipulate data using vector databases to enhance model performance and scalability.
- Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions.
- Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines.
- Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions.
- Write clean, manageable code and maintain proper documentation.
- Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration.
- Ensure the performance, quality, and responsiveness of applications.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, or a related field.
- Proven experience (5+ years) as an Software Engineer with a focus on backend development.
- Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML.
- Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone.
- Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts.
- Excellent skills in software design, data structures, and algorithms.
- Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork skills.
Preferred Skills:
- Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture.
- Familiarity with containerization and orchestration technologies (Docker, Kubernetes).