AI Software Developer

Prodoc AI; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Prodoc is seeking a skilled AI Software Developer to join its engineering team in Bengaluru. You will design, build, test, and deploy AI-powered software, integrating LLMs, RAG pipelines, and cloud AI services into production applications.

You will work on backend services with Node.js/TypeScript and front-end with React/Next.js, ensuring scalable APIs, robust security, and maintainable code. A strong foundation in AI/ML and practical experience are required.

Qualifications

• Bachelor's degree in CS, IT, AI, or related field.
• 2–4 years of professional software development experience.
• Experience building and deploying software applications.
• Hands-on experience integrating AI APIs, LLMs, or AI-powered features into applications.
• Strong programming, debugging, and problem-solving skills.

Responsibilities

• Design, develop, test, and deploy AI-powered software applications and features.
• Build and maintain scalable backend services, RESTful APIs, and microservices using Node.js, TypeScript, and related technologies.
• Develop frontend applications using React.js and Next.js.
• Integrate LLMs and AI APIs into production applications.
• Develop AI-driven solutions for conversational AI, intelligent automation, document processing, information extraction, and workflow optimization.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, and relevant retrieval techniques.
• Develop and optimize prompts, AI workflows, and model interactions to improve accuracy, reliability, and response quality.
• Integrate third-party APIs, external services, and cloud-based AI solutions.
• Design, maintain, and optimize databases, data models, and application architecture.
• Implement authentication, authorization, API security, and appropriate data access controls.
• Collaborate with product managers, designers, and engineering teams to convert product requirements into technical solutions.
• Write clean, reusable, maintainable, and well-documented code.
• Debug application issues, optimize performance, and ensure the reliability of deployed AI features.
• Participate in code reviews, technical discussions, testing, and architectural decisions.
• Take ownership of features throughout the development lifecycle, from development and testing to deployment and monitoring.

Skills

AI/LLM development

Node.js

React.js

TypeScript

RESTful APIs

Prompt engineering

Education

Bachelor's degree in Computer Science or related field

Tools

Express.js

Next.js

MongoDB

PostgreSQL

Docker

AWS

Job description

We are looking for a skilled and passionate AI Software Developer to join our engineering team and build, integrate, and deploy AI-powered applications. The ideal candidate should have strong software development fundamentals, hands-on experience with AI/LLM integrations, and the ability to translate business requirements into reliable, scalable technical solutions.

Roles & Responsibilities

• Design, develop, test, and deploy AI-powered software applications and features.

• Build and maintain scalable backend services, RESTful APIs, and microservices using Node.js, TypeScript, and related technologies.

• Develop responsive and interactive frontend applications using React.js and Next.js.

• Integrate Large Language Models (LLMs) and AI APIs into production applications.

• Develop AI-driven solutions for conversational AI, intelligent automation, document processing, information extraction, and workflow optimization.

• Design and implement Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, and relevant retrieval techniques.

• Develop and optimize prompts, AI workflows, and model interactions to improve accuracy, reliability, and response quality.

• Integrate third-party APIs, external services, and cloud-based AI solutions.

• Design, maintain, and optimize databases, data models, and application architecture.

• Implement authentication, authorization, API security, and appropriate data access controls.

• Collaborate with product managers, designers, and engineering teams to convert product requirements into technical solutions.

• Write clean, reusable, maintainable, and well-documented code.

• Debug application issues, optimize performance, and ensure the reliability of deployed AI features.

• Participate in code reviews, technical discussions, testing, and architectural decisions.

• Take ownership of features throughout the development lifecycle, from development and testing to deployment and monitoring.

Core Skills

AI & LLM Development

• Practical experience integrating AI APIs such as OpenAI, Google Gemini, Anthropic Claude, or similar models.

• Understanding of LLMs, prompt engineering, context management, and AI-powered application development.

• Familiarity with RAG, embeddings, semantic search, and vector databases.

• Experience building AI-driven workflows, conversational interfaces, or intelligent automation features.

• Basic knowledge of Python and relevant AI/ML libraries.

• Ability to evaluate AI outputs, troubleshoot integration issues, and improve application reliability.

Backend Development

• Strong proficiency in JavaScript, TypeScript, and Node.js.

• Hands-on experience with Express.js or similar backend frameworks.

• Experience designing, developing, and maintaining RESTful APIs and backend services.

• Understanding of asynchronous programming, authentication, authorization, JWT, and role-based access control.

• Knowledge of API security, error handling, logging, and performance optimization.

Frontend Development

• Strong proficiency in JavaScript, TypeScript, HTML5, and CSS3.

• Hands-on experience with React.js and Next.js.

• Experience building responsive, interactive, and user-friendly web applications.

• Understanding of state management, frontend performance, and API integration.

Database Management

• Hands-on experience with MongoDB.

• Knowledge of PostgreSQL or MySQL is an advantage.

• Understanding of database schema design, indexing, aggregation, and query optimization.

• Familiarity with vector databases such as Pinecone, ChromaDB, or FAISS is preferred.

• Cloud, DevOps & Development Tools

• Experience with Git and GitHub/GitLab.

• Familiarity with CI/CD pipelines and deployment workflows.

• Exposure to AWS, Azure, or Google Cloud.

• Familiarity with Docker, Linux environments, and application deployment.

• Understanding of application monitoring, logging, debugging, and production support.

Preferred / Good-to-Have Skills

• Experience with LangChain, LangGraph, LlamaIndex, or similar AI frameworks.

• Familiarity with AI agents, function calling, tool integrations, and multi-step AI workflows.

• Experience building and deploying AI-powered SaaS or enterprise applications.

• Knowledge of model evaluation, hallucination mitigation, and AI response optimization.

• Familiarity with Redis, WebSockets, message queues, or event-driven architectures.

• Experience with healthcare technology, patient engagement platforms, CRM, ERP, or workflow automation systems.

• Familiarity with AI-assisted development tools such as Cursor, GitHub Copilot, or Claude Code.

Preferred Profile

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field, or equivalent practical experience.

• 2–4 years of professional software development experience.

• Proven experience building and deploying software applications.

• Hands-on experience integrating AI APIs, LLMs, or AI-powered features into applications.

• Strong programming, problem-solving, debugging, and analytical skills.

• Understanding of software development best practices, testing, and deployment.

• Ability to work independently, collaborate effectively, and adapt in a fast-paced product development environment.

What We're Looking For

• Strong software engineering and full-stack development fundamentals.

• Ability to build and integrate AI-powered features into real-world applications.

• Understanding of how to move AI prototypes into reliable, production-ready solutions.

• Ability to translate business requirements into scalable and maintainable software.

• Ownership of development tasks and commitment to delivering high-quality results.

• Curiosity about emerging AI technologies and a commitment to continuous learning.

• Ability to troubleshoot complex technical problems and collaborate with cross-functional teams.