Python Full stack Developer

Python Full stack Developer

VY SYSTEMS PRIVATE LIMITED

Python Full stack Developer at Codnatives · Mumbai, Bengaluru (Bangalore) · 7 - 9 years · ₹4L - ₹28L / yr · Profitable · Posted 28 Sep 2026

Python Full stack Developer

at Codnatives

Agency job

via VY SYSTEMS PRIVATE LIMITED

7 - 9 yrs

₹4L - ₹28L / yr

Mumbai, Bengaluru (Bangalore)

Skills

Generative AI (GenAI)

Large Language Models (LLM)

Retrieval Augmented Generation (RAG)

Angular (2+)

FastAPI

Flask

Django

Python Full Stack Developer - AI/ML & GenAI (7-9 Years)

Role & Responsibilities

We are seeking an experienced Python Full Stack Developer with strong expertise in AI/ML, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native application development.

• Design, develop, and maintain enterprise-grade full stack applications using Python (FastAPI, Flask, Django) and React/Angular.

• Build and deploy Generative AI solutions leveraging LLMs, AI Agents, Prompt Engineering, and RAG architectures.

• Develop scalable REST APIs, microservices, and backend services with a focus on performance, security, and reliability.

• Implement semantic search and knowledge retrieval solutions using embeddings, vector search, and vector databases such as Pinecone, Weaviate, ChromaDB, and FAISS.

• Integrate and optimize LLM-based solutions using OpenAI, Azure OpenAI, Claude, Gemini, and Llama.

• Develop and deploy AI/ML models using Machine Learning, Deep Learning, NLP, Transformers, and MLOps best practices.

• Design, implement, and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and GitLab CI.

• Containerize and orchestrate applications using Docker and Kubernetes.

• Deploy and manage applications on Azure, AWS, or GCP.

• Collaborate with product owners, architects, data scientists, and engineering teams.

• Ensure application quality through code reviews, testing, monitoring, observability, and security standards.

• Contribute to AI governance, model evaluation, Responsible AI practices, and continuous improvement initiatives.

Mandatory Experience:

• 7-9 years of software development experience.

• 3+ years of hands-on experience in AI/ML and Generative AI.

• Strong expertise in Python Full Stack Development, LLMs, RAG, Embeddings, Vector Databases, Cloud Platforms, and CI/CD automation.

Python Full Stack Developer - AI/ML & GenAI (7-9 Years)

Role & Responsibilities

We are seeking an experienced Python Full Stack Developer with strong expertise in AI/ML, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native application development.

• Design, develop, and maintain enterprise-grade full stack applications using Python (FastAPI, Flask, Django) and React/Angular.

• Build and deploy Generative AI solutions leveraging LLMs, AI Agents, Prompt Engineering, and RAG architectures.

• Develop scalable REST APIs, microservices, and backend services with a focus on performance, security, and reliability.

• Implement semantic search and knowledge retrieval solutions using embeddings, vector search, and vector databases such as Pinecone, Weaviate, ChromaDB, and FAISS.

• Integrate and optimize LLM-based solutions using OpenAI, Azure OpenAI, Claude, Gemini, and Llama.

• Develop and deploy AI/ML models using Machine Learning, Deep Learning, NLP, Transformers, and MLOps best practices.

• Design, implement, and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and GitLab CI.

• Containerize and orchestrate applications using Docker and Kubernetes.

• Deploy and manage applications on Azure, AWS, or GCP.

• Collaborate with product owners, architects, data scientists, and engineering teams.

• Ensure application quality through code reviews, testing, monitoring, observability, and security standards.

• Contribute to AI governance, model evaluation, Responsible AI practices, and continuous improvement initiatives.

Mandatory Experience:

• 7-9 years of software development experience.

• 3+ years of hands-on experience in AI/ML and Generative AI.

• Strong expertise in Python Full Stack Development, LLMs, RAG, Embeddings, Vector Databases, Cloud Platforms, and CI/CD automation.

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About Codnatives

Founded :

2012

Type :

Services

Size :

20-100

Stage :

Profitable

About

N/A

Company social profiles

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About the Role

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Requirements

5+ years of hands-on experience in Python Full-Stack Development.
Strong experience with Python, FastAPI/Flask/Django, ReactJS, JavaScript, HTML5, CSS3
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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.
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Develop and maintain scalable full-stack applications using Python, FastAPI/Flask/Django, ReactJS, and JavaScript.
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Strong understanding of object-oriented programming and software design principles.
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Good understanding of Agile/Scrum methodologies.

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Experience with Git/GitHub/GitLab.
Strong understanding of object-oriented programming and software design principles.
Experience with debugging, performance optimization, and application security.
Good understanding of Agile/Scrum methodologies.

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Experience with AWS, Azure, or GCP.
Knowledge of Docker and Kubernetes.
Experience with CI/CD pipelines.
Familiarity with Redis, Celery, or message queues.
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Knowledge of automated testing frameworks such as PyTest.
Experience working in cloud-based production environments.

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Excellent communication and collaboration skills.
Ability to work independently and take ownership of assigned tasks.
Ability to mentor junior developers and contribute to technical decisions.
Strong attention to quality and detail.

Read more

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Work Mode: Hybrid

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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;

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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.

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.

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Senior Consultant – Full Stack Developer with AI

Akshay Patil

Posted by Akshay Patil

Remote only

5 - 12 yrs

₹16L - ₹28L / yr

Python

React.js

Javascript

AWS Bedrock

Docker

+6 more

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 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.

Read more

LeadSquared

Full Stack Backend Engineer

LeadSquared

Agency job

via by Vrishali Mishra

Bengaluru (Bangalore)

4 - 6 yrs

Best in industry

Python

Django

React.js

Javascript

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.

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.

Read more

Python, Gen AI

Banu S

Posted by Banu S

Hyderabad, Bengaluru (Bangalore)

4 - 15 yrs

₹5L - ₹25L / yr

Python

Agentic AI

LangChain

Role Overview

We are looking for a skilled Python Full Stack / Agentic AI Engineer to design, develop, and deploy AI-powered applications and intelligent agentic workflows. The ideal candidate should have strong expertise in Python, FastAPI, LLMs, RAG, LangChain/LangGraph, and modern full-stack development.

You will work on building scalable backend services, integrating Large Language Models, developing AI agents, implementing Retrieval-Augmented Generation (RAG) pipelines, and creating production-ready AI applications.

Key Responsibilities

Design and develop scalable backend applications using Python and FastAPI.
Build and deploy Agentic AI solutions using LLMs and agent frameworks.
Develop multi-step and multi-agent workflows using LangChain and LangGraph.
Design and implement RAG (Retrieval-Augmented Generation) pipelines.
Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models.
Develop prompt engineering strategies and structured LLM workflows.
Work with vector databases and embedding models for semantic search and knowledge retrieval.
Build APIs and microservices for AI-powered applications.
Integrate AI services with databases, third-party APIs, and enterprise systems.
Develop conversation memory, tool calling, function calling, and agent orchestration capabilities.
Implement evaluation, monitoring, logging, guardrails, and error handling for AI applications.
Optimize applications for performance, scalability, reliability, and cost.
Collaborate with product managers, frontend developers, data engineers, and other stakeholders.
Write clean, maintainable, well-tested, and production-ready code.
Participate in architecture discussions, code reviews, testing, and deployment activities.

Required Skills

Programming & Backend

Strong proficiency in Python.
Hands-on experience with FastAPI, REST APIs, and backend development.
Strong understanding of asynchronous programming, API design, authentication, and middleware.
Experience with SQL/NoSQL databases.

Generative AI / Agentic AI

Strong understanding of LLMs and Generative AI.
Hands-on experience building AI Agents / Agentic AI applications.
Experience with LangChain and/or LangGraph.
Knowledge of agent orchestration, tool calling, function calling, memory, and workflow management.
Strong understanding of prompt engineering.

RAG

Experience designing and implementing RAG architectures.
Knowledge of document ingestion, chunking, embeddings, vector search, retrieval, reranking, and response generation.
Experience with vector databases such as FAISS, Chroma, Pinecone, Weaviate, Qdrant, or similar.

LLM & AI Integration

Experience integrating commercial or open-source LLMs.
Understanding of embeddings, context windows, temperature, token usage, and model selection.
Experience with structured outputs and LLM-based workflows.
Familiarity with LLM evaluation and observability is a plus.

Full Stack

Working knowledge of HTML, CSS, JavaScript/TypeScript.
Experience with React.js or similar frontend frameworks is preferred.
Ability to integrate frontend applications with Python/FastAPI services.

Role Overview

We are looking for a skilled Python Full Stack / Agentic AI Engineer to design, develop, and deploy AI-powered applications and intelligent agentic workflows. The ideal candidate should have strong expertise in Python, FastAPI, LLMs, RAG, LangChain/LangGraph, and modern full-stack development.

You will work on building scalable backend services, integrating Large Language Models, developing AI agents, implementing Retrieval-Augmented Generation (RAG) pipelines, and creating production-ready AI applications.

Key Responsibilities

Design and develop scalable backend applications using Python and FastAPI.
Build and deploy Agentic AI solutions using LLMs and agent frameworks.
Develop multi-step and multi-agent workflows using LangChain and LangGraph.
Design and implement RAG (Retrieval-Augmented Generation) pipelines.
Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models.
Develop prompt engineering strategies and structured LLM workflows.
Work with vector databases and embedding models for semantic search and knowledge retrieval.
Build APIs and microservices for AI-powered applications.
Integrate AI services with databases, third-party APIs, and enterprise systems.
Develop conversation memory, tool calling, function calling, and agent orchestration capabilities.
Implement evaluation, monitoring, logging, guardrails, and error handling for AI applications.
Optimize applications for performance, scalability, reliability, and cost.
Collaborate with product managers, frontend developers, data engineers, and other stakeholders.
Write clean, maintainable, well-tested, and production-ready code.
Participate in architecture discussions, code reviews, testing, and deployment activities.

Required Skills

Programming & Backend

Strong proficiency in Python.
Hands-on experience with FastAPI, REST APIs, and backend development.
Strong understanding of asynchronous programming, API design, authentication, and middleware.
Experience with SQL/NoSQL databases.

Generative AI / Agentic AI

Strong understanding of LLMs and Generative AI.
Hands-on experience building AI Agents / Agentic AI applications.
Experience with LangChain and/or LangGraph.
Knowledge of agent orchestration, tool calling, function calling, memory, and workflow management.
Strong understanding of prompt engineering.

RAG

Experience designing and implementing RAG architectures.
Knowledge of document ingestion, chunking, embeddings, vector search, retrieval, reranking, and response generation.
Experience with vector databases such as FAISS, Chroma, Pinecone, Weaviate, Qdrant, or similar.

LLM & AI Integration

Experience integrating commercial or open-source LLMs.
Understanding of embeddings, context windows, temperature, token usage, and model selection.
Experience with structured outputs and LLM-based workflows.
Familiarity with LLM evaluation and observability is a plus.

Full Stack

Working knowledge of HTML, CSS, JavaScript/TypeScript.
Experience with React.js or similar frontend frameworks is preferred.
Ability to integrate frontend applications with Python/FastAPI services.

Read more

Python Full stack Developer

Hema V

Posted by Hema V

Chennai, Noida

6 - 10 yrs

Best in industry

Python

React.js

TypeScript

PostgreSQL

API

+4 more

6+ years of professional full-stack software engineering experience, with demonstrated ownership of production systems end-to-end (not just feature contribution within a large team).
Backend: Strong proficiency in Python (FastAPI or Flask) — this is BuildTwin's primary backend language, used across the AI pipeline and application layer.
Frontend: Strong proficiency in React and TypeScript, including building data-dense, interactive interfaces (dashboards, review workflows, file viewers) — not just CRUD forms.
Database: Deep, hands-on experience with PostgreSQL — schema design, query optimization, indexing strategy, and multi-tenant data modeling.
API design: Proven experience designing clean, versioned REST APIs, particularly ones serving as the integration layer between a backend/AI system and a frontend or third-party consumer.
Cloud & DevOps: Production experience with AWS or Azure (compute, storage, queuing/messaging services), Docker, and CI/CD pipelines.
Asynchronous & batch processing: Real experience with job queues (Celery, SQS, or equivalent) and designing systems that process work in parallel with proper failure isolation.
Multi-tenant architecture: Direct experience building and securing systems that serve multiple isolated clients/tenants from shared infrastructure.

6+ years of professional full-stack software engineering experience, with demonstrated ownership of production systems end-to-end (not just feature contribution within a large team).
Backend: Strong proficiency in Python (FastAPI or Flask) — this is BuildTwin's primary backend language, used across the AI pipeline and application layer.
Frontend: Strong proficiency in React and TypeScript, including building data-dense, interactive interfaces (dashboards, review workflows, file viewers) — not just CRUD forms.
Database: Deep, hands-on experience with PostgreSQL — schema design, query optimization, indexing strategy, and multi-tenant data modeling.
API design: Proven experience designing clean, versioned REST APIs, particularly ones serving as the integration layer between a backend/AI system and a frontend or third-party consumer.
Cloud & DevOps: Production experience with AWS or Azure (compute, storage, queuing/messaging services), Docker, and CI/CD pipelines.
Asynchronous & batch processing: Real experience with job queues (Celery, SQS, or equivalent) and designing systems that process work in parallel with proper failure isolation.
Multi-tenant architecture: Direct experience building and securing systems that serve multiple isolated clients/tenants from shared infrastructure.

Read more

Full Stack Developer

Anjali Jha

Posted by Anjali Jha

Pune

2 - 6 yrs

₹3L - ₹8L / yr

React.js

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.

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.

Read more

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