Technical Architect

Hi,
Greetings from Modern Agile Technologies.

Position: Technical Architect

Location: San Jose, CA (Onsite)

Duration: Full Time

15 - 20 years of experience

Job Description

Must Have Technical/Functional Skills:

•       Experience in Python (Fast API).

•       Experience in FAISS ,Vector DB

•       Proficiency in JavaScript for backend and lightweight frontend support (excluding React JS).

•       Strong grasp of RESTful APIs integration and WebSocket communication.

•       Expertise in Large Language Models (LLMs) usage, including fine and dynamic prompt engineering for Generative AI applications.

•       Hands-on experience with LangGraph Langchain agents for building and orchestrating AI workflows.

•       Experience with Redis (cache, streams, pub/sub patterns) for real-time chat handling.

•       Experience with OAuth2.0 / JWT based API security.

•       Good understanding of event-driven architectures and asynchronous programming (async/await).

•       Experience working with relational or NoSQL databases (Teradata, MongoDB, SOLR, etc.).

•       Ability to optimize system performance (scalability, fault tolerance).

•       Familiarity with containerized application deployment on Open Shift, including CI/CD pipelines and automation tools.

Roles & Responsibilities:

•       Owns end to end solution design Collaborate and work closely with the customer Cisco leader  daily basis for review

•       Design and build scalable APIs using FastAPI.

•       Utilize Large Language Models (LLMs) for Generative AI-based application development, applying fine and

Dynamic prompting techniques to optimize AI responses.

•       Develop and maintain LangGraph Langchain agents to orchestrate complex AI workflows and agentic automation.

•       Implement robust asynchronous event handling and improve system resilience with retries, backoff, and failure recovery patterns.

•       Review and leads developers’ code for best practices and efficiency day to day

•       Set up error handling, monitoring, and logging standards, including observability for LLMs and AI workflows.

•       Implement OAuth2.0 and JWT validation security mechanisms.

•       Deploy and manage code on OpenShift containers, ensuring containerized application scalability and reliability.