Introduction
We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in agent development using Python, expertise in using LangChain, autogen or adk.. experience in vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation.
Key Responsibilities
- Design, develop, and maintain robust agentic systems integrating advanced AI and ML capabilities.
- Develop agents using the agentic frameworks in Python. Experience in langgraph or autogen is mandatory.
- Implement and optimize LangChain for efficient language model chaining and application.
- Experience in MCP and A2A is required.
- Develop and deploy solutions based on Agent, LLMs, 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
- Bachelors or Masters degree in Computer Science, or a related field.
- Proven experience (5 years) as a 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 building solutions with LangChain, vector databases, and technologies such as MongoDB, Qdrant.
- Profound knowledge of Agentic, 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).