Python Fullstack Developer + Agentic AI

As a Senior Python Full Stack developer with Agentic AI at Wissen Technology, you will be responsible for the following key tasks:

• Agent Development: You will design, build, and deploy autonomous agents capable of independent decision-making, planning, and task execution.
• AI Orchestration: Your role will involve utilizing frameworks like LangGraph, AutoGen, CrewAI, or LangChain to orchestrate complex agentic workflows.
• LLM Integration: You will integrate Large Language Models (LLMs) such as GPT-4, Claude with internal tools, vector databases, and external APIs using Retrieval-Augmented Generation (RAG) techniques.
• System Optimization: Optimizing AI models for performance, scalability, and security in production environments will be a crucial part of your responsibilities.
• Memory & Context: Implementing memory management for agents to ensure context retention across long-running tasks.
• Evaluation & Monitoring: Developing evaluation frameworks for agent performance and maintaining agent observability (AgentOps).

Required Technical Skills:

• Programming: Strong expertise in Python OOPs, asynchronous programming, and RESTful APIs.
• AI Frameworks and Tools: Deep knowledge of LangChain, LangGraph, or AutoGen.
• Tools & Technologies: Familiarity with Vector Databases (Pinecone, Chroma), Prompt Engineering, and Agentic Design Patterns.
• Cloud & DevOps: Experience with AWS, GCP, or Azure and containerization (Docker, Kubernetes) for AI deployment.
• Database: Proficiency in working with SQL/NoSQL databases.

Please note that Wissen Technology is a specialized technology company delivering high-end consulting services across Banking & Finance, Telecom, and Healthcare domains. The organization has grown significantly in recent years and collaborates with several Fortune 500 clients including Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, and others. As a Senior Python Full Stack developer with Agentic AI at Wissen Technology, you will be responsible for the following key tasks:

• Agent Development: You will design, build, and deploy autonomous agents capable of independent decision-making, planning, and task execution.
• AI Orchestration: Your role will involve utilizing frameworks like LangGraph, AutoGen, CrewAI, or LangChain to orchestrate complex agentic workflows.
• LLM Integration: You will integrate Large Language Models (LLMs) such as GPT-4, Claude with internal tools, vector databases, and external APIs using Retrieval-Augmented Generation (RAG) techniques.
• System Optimization: Optimizing AI models for performance, scalability, and security in production environments will be a crucial part of your responsibilities.
• Memory & Context: Implementing memory management for agents to ensure context retention across long-running tasks.
• Evaluation & Monitoring: Developing evaluation frameworks for agent performance and maintaining agent observability (AgentOps).

Required Technical Skills:

• Programming: Strong expertise in Python OOPs, asynchronous programming, and RESTful APIs.
• AI Frameworks and Tools: Deep knowledge of LangChain, LangGraph, or AutoGen.
• Tools & Technologies: Familiarity with Vector Databases (Pinecone, Chroma), Prompt Engineering, and Agentic Design Patterns.
• Cloud & DevOps: Experience with AWS, GCP, or Azure and containerization (Docker, Kubernetes) for AI deployment.
• Database: Proficiency in working with SQL/NoSQL databases.

Please note that Wissen Technology is a specialized technology company delivering high-end consulting services across Banking & Finance, Telecom, and Healthcare domains. The organization has grown significantly in recent years and collaborates with several Fortune 500 clients including Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, and others.