Wissen Technology is hiring for AI Control Plane - FullStack

About Wissen Technology:

Job Summary:

We are looking for a talented Full Stack AI Engineer with 3–6 years of hands-on experience in Python, React, AWS, RESTful APIs, Kafka, and SQL/PostgreSQL.The ideal candidate should also have practical experience building or integrating native agentic AI systems, including AI agents, agent workflows, tool/function calling, orchestration, and autonomous or semi-autonomous task execution.You will work across backend, frontend, cloud, data, and AI/agentic capabilities to build scalable and intelligent applications.

Experience: 3 - 6 Years

Location: Hyderabad

Mode of Work: Hybrid

Education Qualification: MCA/B.E/B.Tech/M.Tech

Key Responsibilities:

- Design, develop, and maintain scalable applications using Python and React.

- Build robust backend services and RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.

- Develop responsive and reusable frontend components using React.

- Design and implement AI-powered features and agentic workflows.

- Build, integrate, and orchestrate AI agents capable of reasoning, planning, tool usage, and task execution.

- Develop agent workflows involving tool/function calling, APIs, external services, memory, context management, and multi-step execution.

- Integrate AI agents with enterprise applications, databases, APIs, and third-party services.

- Design event-driven and asynchronous workflows using Apache Kafka.

- Design and optimize database schemas, queries, and data access using SQL/PostgreSQL.

- Deploy, monitor, and troubleshoot applications and AI services on AWS.

- Develop scalable and reliable APIs for communication between frontend, backend, AI agents, and external systems.

- Implement appropriate authentication, authorization, logging,



monitoring, and error handling.

- Write clean, maintainable, reusable, and well-tested code.

- Troubleshoot application, API, database, Kafka, and production issues.

- Participate in code reviews and contribute to engineering best practices.

- Collaborate with Product Managers, AI/ML Engineers, QA Engineers, DevOps Engineers, and other developers.

- Participate in Agile/Scrum ceremonies, technical discussions, sprint planning, and estimation.

Required Skills:

- 3–6 years of professional software development experience.

- Strong hands-on experience with Python.

- Strong experience developing backend applications and services using Python.

- Good experience with React.js and modern frontend development.

- Solid experience designing and developing RESTful APIs.

- Hands-on experience with SQL/PostgreSQL, including complex queries, joins, indexes, transactions, and database design.

- Hands-on experience with Kafka, including producers, consumers, topics, and event-driven processing.

- Working experience with AWS and cloud-based application development/deployment.

- Strong understanding of software development lifecycle, Git, testing, debugging, and Agile methodologies.

Native Agentic AI Experience – Required / Preferred:

Candidates should have hands-on experience building agentic AI applications, rather than only consuming basic LLM APIs.





Experience in areas such as the following is highly desirable:

- Building AI agents capable of performing multi-step tasks.

- Agent orchestration and workflow design.

- Tool/function calling and integration with external tools and APIs.

- Agent interaction with databases, REST APIs, enterprise systems, and third-party services.

- Context and conversation management.

- Short-term and/or long-term agent memory.

- Planning, reasoning, task decomposition, and autonomous execution.

- Multi-agent workflows or agent-to-agent communication.

- Human-in-the-loop workflows and approval mechanisms.

- Agent evaluation, observability, monitoring, and error handling.

- Experience with agentic frameworks such as LangGraph, LangChain, AutoGen, CrewAI, or equivalent technologies.

- Experience integrating LLMs with production applications.

AWS & Cloud
- Experience deploying applications and services on AWS.

- Familiarity with services such as EC2, ECS/EKS, Lambda, S3, RDS, API Gateway, CloudWatch, etc.

- Understanding cloud scalability, security, monitoring, and deployment practices.

- Experience with CI/CD pipelines is an advantage.

Kafka & Data
- Experience building event-driven applications using Kafka.

- Understanding Kafka producers, consumers, topics, partitions, offsets, and consumer groups.

- Experience handling asynchronous processing and event-based workflows.

- Strong SQL/PostgreSQL skills and experience with database optimization.

Wissen Sites:

- Website: www.wissen.com

- LinkedIn: https://www.linkedin.com/company/wissen-technology

- Wissen Leadership: Leadership Team | Wissen

- Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All

- Wissen Thought Leadership: https://www.wissen.com/articles/

📌 AI Control Plane - FullStack (Shaikpet)
🏢 wissen technology
📍 Shaikpet