Python Full Stack

Job Summary: We are seeking a highly skilled Full-stack Developer to join our dynamic team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python and front-end technologies, enabling them to design, develop, and maintain robust web applications. This role requires a proactive individual who can collaborate effectively with cross-functional teams to deliver high-quality software solutions that meet business needs.

• Proficient in Python programming language.
• Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript.
• Experience with front-end frameworks like React, Angular, or Vue.js.
• Familiarity with back-end frameworks such as Django or Flask.
• Understanding of RESTful APIs and web services.
• Experience with version control systems, preferably Git.

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.

We are looking for a skilled Full Stack Developer with 3+ years of experience in Python and React.js to join our engineering team. The ideal candidate should have strong experience building scalable web applications, developing backend APIs, and creating responsive frontend interfaces.

Key Responsibilities

• Develop and maintain full-stack web applications using Python and React.js.
• Build scalable and secure RESTful APIs using Django, Flask, or FastAPI.
• Develop responsive and user-friendly interfaces using React.js.
• Integrate frontend applications with backend APIs and third-party services.
• Work with databases such as PostgreSQL, MySQL, or MongoDB.
• Write clean, reusable, and maintainable code.
• Troubleshoot, debug, and optimize application performance.
• Participate in code reviews and follow software development best practices.
• Collaborate with UI/UX designers, QA engineers, DevOps, and other developers.
• Write unit and integration tests to ensure application reliability.
• Use Git/GitHub/GitLab for version control.
• Contribute to system design, documentation, deployment, and continuous improvement.

Required Skills

• 3+ years of professional experience in Full Stack Development
• Strong hands-on experience with Python
• Strong experience with React.js
• Experience with Django / Flask / FastAPI
• Good understanding of JavaScript, HTML5, and CSS3
• Strong knowledge of REST APIs
• Experience with PostgreSQL / MySQL / MongoDB
• Good understanding of Git and version control
• Strong knowledge of OOP, data structures, and software development concepts
• Experience with debugging and performance optimization
• Good problem-solving and communication skills

Good to Have

• Experience with TypeScript
• Knowledge of Next.js
• Experience with AWS / Azure / GCP
• Knowledge of Docker and Kubernetes
• Understanding of CI/CD pipelines
• Experience with microservices architecture
• Exposure to AI/ML or GenAI applications is a plus

Education

Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

Mandatory (Experience 1) – Must have 3+ years of experience in Full Stack Development with hands-on experience building and deploying production-grade web applications.

2

Mandatory (Skills 1) – Must have strong hands-on experience in Python or Node.js for backend development.

3

Mandatory (Skills 2) – Must have experience developing REST APIs using frameworks such as FastAPI, Flask, Express.js or similar.

4

Mandatory (Skills 3) – Must have hands-on experience with at least one modern frontend framework such as React.js or Angular, along with JavaScript/TypeScript.

5

Mandatory (Skills 4) – Must have hands-on experience with SQL databases such as PostgreSQL, MySQL or similar.

6

Mandatory (Skills 5) – Must have experience integrating frontend applications with backend APIs and third-party services.

7

Mandatory (Skills 6) – Must have good understanding of OOP, data structures, software engineering practices and clean/testable code.

8

Mandatory (Skills 7) – Must have experience with Git/GitHub and standard development practices including code reviews and version control.

9

Mandatory (Skills 8) – Must have experience with cloud platforms such as Azure or AWS and exposure to application deployment.

10

Mandatory (Skills 9) – Must have hands-on experience with Docker/containerized applications and understanding of scalable application development.

11

Preferred (Experience 1) – Experience with Kubernetes, CI/CD pipelines and cloud-native deployments.

12

Preferred (Experience 2) – Experience with Redis/caching, asynchronous programming, microservices or distributed systems.

13

Preferred (Experience 3) – Exposure to AI/ML, Generative AI, LLM applications or RAG-based applications.

14

Mandatory (Age) - Candidate's Age should be below 28

15

Mandatory ( Location ) - Candidates Only From Pune & Mumbai.

16

Mandatory (Education) - Must be a B.E / B.Tech from Tier 1 Colleges (IIT, NIT, IIIT, BITS, DTU, NSUT)

Gen AI Full stack Developer:

We're looking for a Full Stack Software Engineer to help build Gen-AI applications for energy industry. If you are interested in leverage cutting-edge techniques to build APIs and complex data pipelines with end-to-end ownership of the feature you build alongside a team of some of the best engineers in the energy industry, then you will love working at Enverus. We are looking for a developer with a natural curiosity, and preferably someone who has full stack experience and a willingness to pick up additional skills on the job!

The Team:

You will join our software engineering team which focus on the forefront of innovation in the energy industry. Here, you'll be part of a highly collaborative and agile group dedicated to prototyping and leveraging cutting-edge technologies to develop new products and solutions. Come join the team and help pioneer Enverus’ mission to drive the future of energy.

What you will do: 

• Full Stack Development: Design and implement user-facing features using modern frontend frameworks (React, TypeScript) integrated with Python-based backend services 

• Scalable APIs: Develop RESTful APIs and microservices that power GenAI applications across the platform 

• Data Pipelines: Build and maintain data processing workflows using AWS services (S3, Lambda, DynamoDB, OpenSearch) 

• End-to-End Features: Own features from concept to production—frontend, backend, database, and deployment 

• GenAI Integration: Implement and optimize AI/ML model integrations, including LLMs and agentic workflows

• Modern Engineering: Work in an agile environment with CI/CD, automated testing, code reviews, and continuous improvement

What You Bring

Required

• Education: Bachelor's degree in Computer Science or related field

• Experience: 4+ years as a software developer with full stack exposure

• Backend Expertise: Strong Python, TypeScript skills with experience building APIs and backend services

• Frontend Proficiency: Experience with modern JavaScript frameworks (React, Vue, or Angular) and TypeScript

• Cloud Architecture: Hands-on experience with AWS services (S3, Lambda, DynamoDB, API Gateway)

• Database Knowledge: Proficiency with both relational (PostgreSQL/MySQL) and NoSQL databases

• DevOps Mindset: Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git)

• Problem Solving: Strong foundation in data structures, algorithms, and system design

• Communication: Excellent English communication skills; able to collaborate effectively across teams

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.

Full-Stack Engineer (Backend Heavy)

Experience: 4–6 Years | Function: Engineering — Product | Location: On-site

About Us

We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done. With Agent Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.

What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.

Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.

About the Role

We are looking for a Full-Stack Engineer with a strong backend bias to help build end-to-end product experiences across Lumen and Agent Studio. You will own features from database and API design through to the front-end experience, working closely with product and design to ship AI-powered experiences that real business users depend on every day.

What You’ll Do

Design and build backend services and APIs in Python that power core product and AI-agent features.

Build front-end interfaces and experiences that let users interact naturally with AI agents, insights and CRM workflows.

Own features end-to-end — from data modeling and backend logic to UI implementation, testing and release.

Work with product managers and designers to translate requirements into well-architected, scalable systems.

Integrate with LLM-based and agentic backend systems built by the AI/ML engineering team.

Optimize application performance, reliability and code quality across the stack.

Engage directly with customers and customer success teams to understand workflows, triage issues and inform roadmap decisions.

What We’re Looking For

4–6 years of professional full-stack engineering experience, with a clear backend-heavy skill set in Python.

Strong experience designing and building REST/GraphQL APIs, data models and scalable backend services.

Working proficiency with modern front-end frameworks (e.g., React) to build and integrate user-facing features.

Experience with relational/NoSQL databases, caching and cloud infrastructure.

Ability to move fast in a zero-to-one environment while maintaining code quality and system reliability.

Strong communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.

Good to Have

Experience building features on top of LLM or AI-agent backends.

Prior experience in CRM, SaaS or enterprise business applications.

Exposure to real-time or voice-based product interfaces.

About the Role

We are looking for an experienced Python Full-Stack Developer with 5+ years of experience to develop and maintain scalable web applications and SaaS products. The role involves working with Python, FastAPI/Flask/Django, ReactJS, REST APIs, databases, AWS, and Docker, while focusing on performance, scalability, and reliable solutions. The ideal candidate should have strong problem-solving skills and the ability to collaborate effectively with cross-functional teams.

Requirements

• 5+ years of hands-on experience in Python Full-Stack Development.
• Strong experience with Python, FastAPI/Flask/Django, ReactJS, JavaScript, HTML5, CSS3
• Good knowledge of REST APIs, Celery, and Redis.
• Experience with MySQL/PostgreSQL and MongoDB.
• Hands-on experience with AWS (EC2, Secrets Manager, ECR) and Docker.
• Proficiency in Git, NumPy, Pandas, and Matplotlib.
• Strong understanding of Data Structures, Algorithms, debugging, and performance optimisation.
• Knowledge of Machine Learning is an added advantage.
• Strong analytical, problem-solving, and communication skills.

Key Responsibilities

• Develop and maintain scalable full-stack applications using Python, FastAPI/Flask/Django, ReactJS, and JavaScript.
• Build and integrate REST APIs, responsive UI components, and third-party services.
• Implement asynchronous processing using Celery and Redis.
• Work with SQL and NoSQL databases including MySQL, PostgreSQL, MongoDB, and Redis.
• Develop data-driven solutions using NumPy, Pandas, and Matplotlib.
• Deploy and manage applications using AWS (EC2, Secrets Manager, ECR) and Docker.
• Use Git for version control and collaborative development.
• Debug, optimize, and ensure application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver high-quality solutions and contribute to technical improvements.

Good to Have

• Experience working on SaaS products or large-scale web applications.
• Experience with AWS deployment and CI/CD pipelines.
• Knowledge of cloud architecture and microservices.
• Experience with machine learning or data-intensive applications.
• Experience with frontend state-management solutions such as Redux or Context API.
• Experience mentoring junior developers or leading technical initiatives.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python.
• Build and integrate AI-powered solutions into existing applications.
• Develop REST APIs and backend services.
• Work with AI/ML models, LLMs, and Generative AI technologies where applicable.
• Integrate AI services and APIs into business applications.
• Write clean, maintainable, and efficient code.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Troubleshoot issues and optimize application performance.

Must-Have Skills

• Strong hands-on experience in Python development.
• Good understanding of Python frameworks such as FastAPI, Flask, or Django.
• Experience in REST API development and backend services.
• Knowledge or experience in AI/ML concepts.
• Understanding of application development, debugging, and problem-solving.
• Good understanding of databases and data handling.

Good-to-Have Skills

• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with AI APIs and frameworks such as LangChain or LlamaIndex.
• Knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, or CI/CD pipelines.

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 :

1. Round 1 – GT Technical Interview : 60 minutes
2. Round 2 – Client Technical Interview : 60 minutes
3. Round 3 – Project Round : 60 minutes
4. 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.