AI Control Plane - FullStack

Wissen Technology is hiring for AI Control Plane - FullStack

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

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.

• 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.
  
• Strong 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:
  
• LinkedIn:
  
• Wissen Leadership: Leadership Team | Wissen
  
• Wissen Live:
  
• Wissen Thought Leadership: