Python Fullstack Engineer at Wissen Technology · Bengaluru (Bangalore) · 7 - 9 years · Profitable · Posted 24 Aug 2026

Job Title
Python Full Stack Developer – AI
Experience: 6-9 Years
Location: Bangalore (Hybrid)
Employment Type: Full-Time
Job Summary
We are seeking a highly skilled Python Full Stack Developer with AI expertise to design, develop, and deploy scalable AI-powered applications. The ideal candidate should have strong experience in Python, Full Stack Development, REST APIs, modern frontend frameworks, and Generative AI technologies, including LLMs, prompt engineering, and AI integrations.
The role involves building end-to-end web applications, integrating AI models, and collaborating with cross-functional teams to deliver innovative AI-driven solutions.
Key Responsibilities
· Design, develop, and maintain scalable full-stack applications using Python.
· Build responsive and interactive user interfaces using React.js, Angular, or Vue.js.
· Develop backend services and RESTful APIs using Django, Flask, or FastAPI.
· Integrate Generative AI models such as OpenAI GPT, Claude, Gemini, or Llama into business applications.
· Develop AI-powered chatbots, assistants, document processing, and workflow automation solutions.
· Implement prompt engineering techniques to optimize AI model performance.
· Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.
· Work with LangChain, LangGraph, or LlamaIndex for LLM orchestration.
· Integrate AI APIs and third-party services into enterprise applications.
· Design and optimize SQL and NoSQL databases.
· Deploy applications on AWS, Azure, or GCP.
· Develop CI/CD pipelines and manage deployments using Docker and Kubernetes.
· Write clean, reusable, and well-documented code following best practices.
· Participate in Agile ceremonies, code reviews, and sprint planning.
Required Technical Skills
Backend
· Python
· Django
· Flask
· FastAPI
Frontend
· React.js / Angular / Vue.js
· HTML5
· CSS3
· JavaScript (ES6+)
· TypeScript
AI / Generative AI
· OpenAI API
· Azure OpenAI
· Gemini API
· Claude API
· Llama Models
· LangChain
Databases
· PostgreSQL
· MySQL
· MongoDB
· Redis
Cloud & DevOps
· AWS / Azure / Google Cloud Platform
· Docker
· Kubernetes
· Git
· GitHub
· Jenkins
· CI/CD
API Development
· REST APIs
· GraphQL (Preferred)
· API Integration
Preferred Skills
· Machine Learning fundamentals
· NLP (Natural Language Processing)
· Hugging Face Transformers
· TensorFlow or PyTorch
· Kafka or RabbitMQ
· Elasticsearch
· Microservices Architecture
· Authentication (OAuth2, JWT)
Qualifications
· Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
· 6–9 years of experience in Python Full Stack Development.
· Hands-on experience with Generative AI and LLM-based application development.
· Experience working in Agile/Scrum environments.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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Key Responsibilities
- Design, develop, and maintain scalable Python backend applications for enterprise use cases.
- Develop robust REST APIs and microservices using Python frameworks such as FastAPI, Flask, or Django.
- Design and implement scalable backend services with proper API integration, authentication, error handling, logging, and monitoring.
- Develop responsive and scalable React.js frontend applications.
- Implement React Hooks, state management, API integration, reusable components, and frontend development.
- Integrate React.js applications with Python backend APIs and microservices.
- Design and develop Generative AI and LLM-powered applications.
- Build and integrate Agentic AI / AI Agent solutions for enterprise use cases.
- Develop RAG (Retrieval-Augmented Generation) pipelines using enterprise data and knowledge sources.
- Work with embeddings, vector databases, and vector search for semantic retrieval and knowledge-based applications.
- Develop AI agent workflows using frameworks such as LangChain, LangGraph, Google ADK, or Semantic Kernel.
- Implement tool calling and function calling to enable AI agents to interact with APIs, databases, enterprise systems, and external services.
- Apply prompt engineering techniques to improve LLM response quality, accuracy, consistency, and reliability.
- Integrate LLMs and GenAI capabilities into full-stack applications.
- Develop multi-step AI workflows, agent orchestration, and intelligent automation solutions.
- Design APIs and services for seamless integration between AI components, backend services, databases, and frontend applications.
- Work with cloud platforms such as AWS, Azure, or GCP for application and AI solution deployment.
- Develop production-ready applications with focus on scalability, performance, security, reliability, and maintainability.
- Troubleshoot and optimize backend, frontend, API, RAG, LLM, and Agentic AI components.
- Collaborate with architects, software engineers, AI/ML engineers, product teams, and business stakeholders.
- Participate in code reviews, technical discussions, testing, deployment, and production support.
Mandatory Skills
- Python Backend Development
- REST API / Microservices
- FastAPI / Flask / Django
- React.js
- React Hooks / State Management
- Frontend Development & API Integration
- GenAI / LLM
- Agentic AI
- RAG
- Embeddings / Vector Search
- LangChain / LangGraph / Google ADK / Semantic Kernel
- Prompt Engineering
- Tool Calling / Function Calling
- Cloud – AWS / Azure / GCP
Preferred Candidate Profile
- 8.5+ years of overall software development experience.
- Strong hands-on experience in Python backend development and API/microservices development.
- Strong experience in React.js and full-stack application development.
- Practical experience building GenAI/LLM applications.
- Hands-on experience with Agentic AI and AI agent frameworks.
- Good understanding of RAG, embeddings, vector search, and LLM-based application architecture.
- Experience with LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent agent frameworks.
- Strong understanding of prompt engineering and tool/function calling.
- Experience integrating AI capabilities with APIs, databases, enterprise applications, and external systems.
- Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
- Strong problem-solving, debugging, communication, and collaboration skills.
- Candidates should be available for immediate / short-term joining.
Dear Candidate,
We have an immediate opening with Mphasis for Senior Full Stack Engineer (Python AI).
📍 Location: Hyderabad / Bangalore
💼 Experience: 5+ Years
🏢 Employment: Permanent
⚡ Immediate Joiners Preferred
Mandatory Skills:
- Python
- Java + Spring Boot
- React.js
- MongoDB
GenAI
Senior/Lead Full Stack Engineer – AI
Experience: 5+ Years
Location: Bengaluru / Hyderabad
Employment Type: Permanent
Preferred: Immediate Joiners
Key Skills
- React.js
- Python
- Generative AI (GenAI)
Job Description
We are looking for an experienced Senior/Lead Full Stack Engineer – AI with strong expertise in React.js, Python, and Generative AI. The candidate should have hands-on experience building scalable full-stack applications, developing backend APIs, and integrating AI/GenAI solutions into enterprise applications.
Interested candidates: Please share your updated resume, current CTC, expected CTC, and notice period.
Full Stack Developer – AI/ML & GenAI
Location: Mumbai
Experience: 7–9 Years
Employment Type: Full-time
Virtual Drive: Saturday
We are looking for a Python Full Stack Developer with 3+ years of hands-on experience in AI/ML and Generative AI.
Key Skills: Python Full Stack, FastAPI/Flask/Django, React/Angular, AI/ML, GenAI, LLMs, RAG, Embeddings, Vector Databases, Cloud (AWS/Azure/GCP), CI/CD, Docker & Kubernetes.
Job Description
We are looking for an experienced Python Full Stack – GenAI / Agentic AI Engineer with 7+ years of experience in software development and strong hands-on expertise in Python backend development, React JS, Generative AI, and Agentic AI.
The ideal candidate should have experience building scalable backend services, modern web applications, and AI-powered applications using LLMs, RAG, agentic frameworks, and cloud platforms.
Key Responsibilities
- Design, develop, and maintain scalable backend applications using Python.
- Develop robust REST APIs and microservices using FastAPI, Flask, or Django.
- Design API architecture, authentication mechanisms, error handling, and integrations.
- Develop responsive and interactive frontend applications using React JS.
- Work with React components, hooks, state management, and API integrations.
- Build and integrate Generative AI and Agentic AI applications using LLMs.
- Develop AI agents using frameworks such as LangChain and LangGraph.
- Implement RAG, embeddings, vector search, tool calling, memory, planning, and reasoning.
- Design and implement multi-agent systems and AI workflows.
- Apply prompt engineering techniques and appropriate guardrails for AI applications.
- Integrate AI applications with cloud-based AI platforms and services.
- Deploy applications using containers and cloud platforms.
- Work with CI/CD pipelines and application monitoring.
- Collaborate with cross-functional teams to design and deliver scalable solutions.
Required Skills
- 7+ years of overall software development experience.
- Strong hands-on experience in Python.
- Strong experience with FastAPI and REST API development.
- Experience with microservices architecture and API design.
- Hands-on experience with React JS.
- Strong experience in Generative AI / LLM applications.
- Hands-on experience in Agentic AI development.
- Experience with LangChain / LangGraph.
- Strong understanding of RAG, embeddings, vector search, and tool calling.
- Experience with multi-agent systems, memory, planning, and reasoning.
- Experience with at least one major cloud platform – AWS / Azure / GCP.
- Experience with containers, CI/CD, deployment, and monitoring.
Preferred Skills
- Google ADK
- Semantic Kernel
- Azure OpenAI
- Vertex AI
- AWS Bedrock
- Docker / Kubernetes
- AI application monitoring and observability
- Frontend testing and application performance optimization
Opportunity Details
Role: Python Full Stack – GenAI / Agentic AI Engineer
Experience: 7+ Years
Location: Hyderabad
Employment: Permanent Position
Work Mode: As per client requirement
Mandate Skills: Python, FastAPI, React JS, Agentic AI, LangChain/LangGraph, RAG, LLM, Cloud
Interview Focus Areas
Candidates should be prepared to demonstrate practical experience in:
- Python backend development
- FastAPI and REST APIs
- Microservices and API design
- React JS
- LLM / Generative AI applications
- Agentic AI architecture
- LangChain / LangGraph
- RAG and vector search
- Tool calling and multi-agent systems
- Cloud deployment and CI/CD
Job Title : Senior Consultant – Full Stack Developer with AI
Experience : 5+ Years
Open Positions : 1
Location : Remote
Working Hours : 11:00 AM to 08:00 PM IST
Engagement : 6 to 8 Months Contract-to-Hire (C2H), with potential conversion to client payroll
Expected Joining : By the last week of August / 1st week of September
Role Overview :
Thoughtworks is looking for a Senior Consultant – Full Stack Developer with AI experience who can design and develop scalable full-stack applications while leveraging modern AI development tools and agentic AI capabilities.
The ideal candidate should have strong hands-on experience with Python, JavaScript / React.js, AWS Bedrock Agent Core, Docker, Kubernetes, and modern AI-assisted development frameworks and tools. Experience building MCP servers / tools, AI skills, or integrations using tools such as Cursor, Claude Code, Codex, or GitHub Copilot will be highly valuable.
The candidate should be comfortable working across application development, AI integration, cloud technologies, and containerized environments.
Mandatory Skills :
Python, React.js / JavaScript, AWS Bedrock Agent Core, Docker, Kubernetes, MCP / AI Skills, Cursor / Claude Code / Codex / GitHub Copilot, Full-Stack Development.
Key Responsibilities :
- Design, develop, and maintain scalable full-stack applications using modern development practices.
- Build backend services and APIs using Python and related frameworks.
- Develop responsive and scalable frontend applications using ReactJS or other JavaScript frameworks.
- Design and implement AI-powered solutions using AWS Bedrock Agent Core.
- Build and integrate AI agents, tools, skills, and workflows into enterprise applications.
- Develop and work with MCP (Model Context Protocol) servers, tools, or integrations.
- Leverage AI-assisted development platforms and coding tools such as Cursor, Claude Code, Codex, or GitHub Copilot.
- Containerize applications and services using Docker.
- Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
- Follow engineering best practices around code quality, testing, security, performance, and maintainability.
- Contribute to CI/CD and cloud deployment processes; DevOps experience will be an added advantage.
- Participate in technical discussions, architecture decisions, code reviews, and project delivery.
Mandatory Skills :
- 5+ years of relevant software development experience.
- Strong hands-on experience with Python.
- Strong experience with ReactJS or another modern JavaScript framework.
- Hands-on experience with AWS Bedrock Agent Core.
- Strong experience with Docker.
- Hands-on experience with Kubernetes.
- Experience building MCP servers / tools, AI skills, or similar AI integrations.
- Experience using AI-assisted coding/development tools such as :
- Cursor
- Claude Code
- Codex
- GitHub Copilot
- Strong understanding of full-stack application development.
- Good understanding of API development, application architecture, and cloud-based solutions.
Nice to Have :
- Experience with DevOps practices and CI/CD pipelines.
- Experience with AWS cloud services beyond Bedrock.
- Experience with infrastructure automation and deployment.
- Experience building production-grade GenAI / Agentic AI applications.
- Experience with LLM integrations, AI agents, tools, and function calling.
Project Expectations :
Candidates should be able to explain at least one recent project in detail, including :
- Problem Statement : What business / technical problem were you solving ?
- Architecture & Approach : How did you design the solution ?
- Key Contributions : What did you personally build or own ?
- AI / Agent Implementation : How did you use AWS Bedrock Agent Core, MCP, or AI development tools ?
- Technology Stack : Python, React.js / JavaScript, AWS, Docker, Kubernetes, etc.
- Challenges : What were the major technical challenges ?
- Outcomes & Metrics : What measurable impact did the solution deliver, such as performance improvement, cost reduction, automation, productivity improvement, or reduced development time ?
Interview Process :
- Round 1 – GT Technical Interview : 60 minutes
- Round 2 – Client Technical Interview : 60 minutes
- Round 3 – Project Round : 60 minutes
- Additional Client Round : May be conducted on a case-by-case basis
Key Hiring Priorities :
Highest priority : Candidates with genuine hands-on experience in AWS Bedrock Agent Core + Python + React / JavaScript + Docker + Kubernetes + MCP / AI skills and practical experience using modern AI coding/agent development tools.
Note : Candidates should demonstrate hands-on implementation experience rather than only theoretical knowledge or exposure to the above technologies.
Job Description: Python Full Stack Developer – GenAI / Agentic AI
Experience: 7+ Years
Location: Hyderabad
Budget: ₹38–40 LPA
Job Summary
We are looking for an experienced Python Full Stack Developer with strong hands-on experience in Python and React.js, along with exposure to Generative AI (GenAI) and Agentic AI. The ideal candidate should be capable of developing scalable backend services, building responsive frontend applications, and integrating AI-powered solutions.
Key Responsibilities
- Develop and maintain backend services, REST APIs, and microservices using Python.
- Build responsive and user-friendly web applications using React.js.
- Integrate frontend applications with backend APIs and third-party services.
- Develop, test, debug, and optimize full-stack applications.
- Work with Generative AI and Agentic AI solutions, including AI agent integration and AI-powered application development.
- Understand existing AI code, troubleshoot issues, and contribute to implementation and enhancement of AI features.
- Work with cloud platforms such as Google Cloud (GCP), AWS, or Microsoft Azure for application deployment.
- Collaborate with cross-functional teams to deliver scalable and reliable solutions.
Mandatory Skills
- 7+ years of overall software development experience.
- Strong hands-on experience in Python development.
- Hands-on experience with React.js and frontend development.
- Experience developing REST APIs and microservices.
- Knowledge of API integration, responsive design, and application testing.
- Understanding of cloud deployment using GCP, AWS, or Azure.
Preferred Skills – GenAI / Agentic AI
- Exposure to Generative AI or Agentic AI concepts and applications.
- Familiarity with AI agents, LLM integration, and AI-powered application development.
- Knowledge of frameworks such as LangChain or LangGraph is an advantage.
- Ability to understand existing AI code and contribute to AI-related development.
- Willingness to learn and work on Agentic AI implementation as part of the development team.
Ideal Candidate Profile
Candidates with strong Python + React.js full-stack development experience and partial hands-on exposure to GenAI or Agentic AI are welcome. Deep expertise in Agentic AI is not mandatory; candidates should have a basic understanding of AI concepts and the ability to work with existing code.
Location: Hyderabad
Experience: 7+ Years
Budget: ₹38–40 LPA
We are looking for a Senior Full Stack Engineer to join our lean, high-impact engineering team. This is a key founding-team role where you will work closely with the CTO and help build the engineering foundation of the company.
The ideal candidate is a backend-strong full-stack engineer with solid Python and React experience, a strong understanding of AI/LLMs, and the ability to independently take ownership of projects from idea to production.
What You'll Do:
- Build and scale applications across the backend and frontend
- Develop backend services and APIs using Python
- Build and maintain frontend applications using React
- Design and implement AI/LLM-powered applications and features
- Work with AI services and integrate them into real-world applications
- Contribute to system design and architecture
- Work with cloud infrastructure and services
- Take ownership of features and initiatives from ideation to production
- Identify problems and proactively drive solutions without requiring constant direction
- Work closely with the CTO and founding team to shape engineering practices and future systems
- Communicate technical concepts clearly to technical and non-technical stakeholders
What We're Looking For:
- 3–6 years of software engineering experience
- Strong experience with Python
- Good hands-on experience with React
- Strong backend development experience with full-stack exposure
- Practical understanding of AI, LLMs and AI services
- Experience building at least one meaningful AI project beyond basic API/chatbot integrations
- Experience taking an AI/ML application or feature into production is preferred
- Exposure to cloud platforms
- Good understanding of system design and software architecture
- Strong problem-solving and ownership mindset
- Excellent communication skills and ability to explain complex technical concepts in simple language
- Genuine hands-on experience with the technologies mentioned on the resume
What Makes This Role Different:
This is not a typical execution-focused engineering role. We are building a lean "A-team" of experienced engineers who will eventually help shape the team and take on senior/leadership responsibilities.
We're looking for someone who:
- Takes initiative rather than waiting for tasks
- Can work independently in an early-stage environment
- Is comfortable exploring and building with AI
- Can go deep into the work they've done and explain the technical decisions behind it
- Wants significant ownership and influence over the product and engineering direction
Location & Compensation
- Work Mode: Remote initially
- Future Location: Expected relocation to Bangalore in approximately 1 year
- Working Hours: Regular IST hours
- Travel: Potential opportunities to travel to Germany
Interview Process:
3 Rounds
- Technical & Project Deep Dive – Conversational discussion around past projects, AI experience and technical depth
- System Design & Technical Round – Deeper technical and architecture discussion
- Founder Round – Communication, culture fit, ownership and initiative
Job Description
We are looking for an experienced Python Full Stack – GenAI / Agentic AI Engineer with 5+ years of experience in software development and strong hands-on expertise in Python backend development, React JS, Generative AI, and Agentic AI.
The ideal candidate should have experience building scalable backend services, modern web applications, and AI-powered applications using LLMs, RAG, agentic frameworks, and cloud platforms.
Key Responsibilities
- Design, develop, and maintain scalable backend applications using Python.
- Develop robust REST APIs and microservices using FastAPI, Flask, or Django.
- Design API architecture, authentication mechanisms, error handling, and integrations.
- Develop responsive and interactive frontend applications using React JS.
- Work with React components, hooks, state management, and API integrations.
- Build and integrate Generative AI OR Agentic AI applications using LLMs.
- Develop AI agents using frameworks such as LangChain and LangGraph.
- Implement RAG, embeddings, vector search, tool calling, memory, planning, and reasoning.
- Design and implement multi-agent systems and AI workflows.
- Apply prompt engineering techniques and appropriate guardrails for AI applications.
- Integrate AI applications with cloud-based AI platforms and services.
- Deploy applications using containers and cloud platforms.
- Work with CI/CD pipelines and application monitoring.
- Collaborate with cross-functional teams to design and deliver scalable solutions.
Required Skills
- 7+ years of overall software development experience.
- Strong hands-on experience in Python.
- Strong experience with FastAPI and REST API development.
- Experience with microservices architecture and API design.
- Hands-on experience with React JS.
- Strong experience in Generative AI / LLM applications.
- Hands-on experience in Agentic AI development.
- Experience with LangChain / LangGraph.
- Strong understanding of RAG, embeddings, vector search, and tool calling.
- Experience with multi-agent systems, memory, planning, and reasoning.
- Experience with at least one major cloud platform – AWS / Azure / GCP.
- Experience with containers, CI/CD, deployment, and monitoring.
Preferred Skills
- Google ADK
- Semantic Kernel
- Azure OpenAI
- Vertex AI
- AWS Bedrock
- Docker / Kubernetes
- AI application monitoring and observability
- Frontend testing and application performance optimization
Full Stack Developer
Experience: 3 to 5 Years
Location: Hyderabad
Interview Mode: Face-to-Face (F2F)
Work Mode: Hybrid
Employment Type: Full-Time
Note: Immediate joiners or candidates with a notice period of up to 15 days are preferred. We are only considering candidates who can attend a face-to-face interview at our office.
Role Summary;
We are looking for a Full Stack Developer (React.js + Python + AWS + AI) to design, develop, and maintain scalable web applications and AI-powered solutions. The ideal candidate must have strong experience in React.js, Python, AWS, and AI development. Hands-on AI development experience is mandatory for this role.
Mandatory AI Skill Requirement - AI development experience is mandatory. Candidates without hands-on AI development experience will not be considered.
Candidates must have practical experience in one or more of the following:
- Building AI-powered applications.
- Working with Large Language Models (LLMs).
- Prompt Engineering.
- Retrieval-Augmented Generation (RAG).
- AI agent development using LangChain, LangGraph, or similar frameworks.
- Integrating AI models through APIs such as OpenAI, Anthropic, or Gemini.
- Developing AI-enabled workflows and intelligent business applications.
Note: Experience using AI coding assistants (ChatGPT, GitHub Copilot, Claude, Gemini, etc.) alone does not meet this requirement. Candidates must have actual AI application development experience.
Key Responsibilities
- Develop and maintain full-stack web applications.
- Build responsive frontend applications using React.js.
- Develop backend REST APIs using Python (FastAPI / Django / Flask).
- Design, develop, and integrate AI-powered features into applications.
- Develop and deploy applications on AWS cloud services.
- Work with relational databases (MySQL / PostgreSQL / SQL Server).
- Integrate frontend and backend components.
- Follow Agile/Scrum development processes.
- Write clean, maintainable, and production-ready code.
- Collaborate with cross-functional teams to deliver scalable and high-quality solutions.
Required Skills (Mandatory)
- 3 to 5 years of Full Stack development experience.
- Strong experience in React.js.
- Strong backend development experience in Python.
- Hands-on experience with AWS cloud services.
- Hands-on AI development experience (Mandatory).
- Experience with LLMs, Prompt Engineering, RAG, LangChain, LangGraph, or similar AI frameworks.
- REST API development experience.
- Strong SQL database experience.
- Git and Agile development workflow.
- Good understanding of software design principles and best practices.
Good to Have
- Docker
- CI/CD pipelines
- Microservices architecture
- Kubernetes
- Experience with vector databases and AI model integrations
Preferred Qualifications
- Bachelor's degree in Computer Science or a related field.
- Strong problem-solving and analytical skills.
- Good communication and teamwork abilities.
- Passion for learning new technologies, especially AI, cloud technologies, and modern software development.









