Gen AIAgentic AI Engineer

Job Title: Gen AI/Agentic AI Engineer

Introduction: We are seeking a highly skilled and experienced Gen AI/Agentic AI 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.

Get the overall solution deployed in customer network and provide support.

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 (8 yrs) 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 (Docker Kubernetes).

Strong analytical and problem-solving skills.

Excellent communication and teamwork skills.

Preferred Skills:

Experience with cloud platforms (Azure) and understanding of scalable architecture.

Familiarity with containerization and orchestration technologies (Docker Kubernetes).