
AI software engineer
1 day ago
Role Overview
We are seeking a passionate Full-Stack Developer who is proficient in the MERN stack (MongoDB, Express, React, ), with added knowledge or interest in AWS cloud services, Large Language Models (LLMs), and AI Agents / intelligent assistants. You will be responsible for designing, developing, deploying, and maintaining full-stack features, as well as integrating AI components (LLMs or agents), and optionally managing cloud infrastructure to support scaling and reliability.
Key Responsibilities
- Design, build, test, and maintain full-stack web applications using the MERN stack (MongoDB, Express, React, ).
- Define and implement RESTful or GraphQL APIs.
- Integrate front-end components with back-end logic, ensuring seamless UX and performance.
- Develop, fine-tune, and integrate LLM-based features (e.g., text generation, summarization, chat, knowledge retrieval).
- Build or contribute to AI Agents: automation, orchestration, multi-step reasoning workflows.
- Work with AWS services: e.g., EC2 / Lambda / ECS, S3, IAM, API Gateway, DynamoDB / RDS as needed.
- Deploy, monitor, and maintain applications; ensure scalability, reliability, and security.
- Write clean, maintainable, well-documented code; conduct code reviews.
- Collaborate with product, UX/design, QA, and AI research teams to deliver features from concept to production.
- Stay updated on AI and full-stack development trends; suggest improvements and new technologies.
Required Skills & Qualifications
- Strong proficiency in JavaScript / TypeScript, on both front-end and back-end.
- Experience in using React (or similar modern front-end frameworks) for building responsive UI.
- Solid experience with and (or equivalent) for server-side development.
- Experience with MongoDB or another NoSQL DB; understanding of schema design, indexing, performance.
- Good understanding of version control systems (Git), and collaborative software development.
- Familiarity with REST / GraphQL API design.
- Strong problem solving, debugging, and optimization skills.
- Good communication skills and ability to work in a team.
Optional / Desired Skills (Nice to Have)
- Experience with AWS / cloud infrastructure: deploying services, serverless patterns, containers, scaling, cost optimization.
- Familiarity with LLMs (e.g. OpenAI, Hugging Face, Llama, etc.): usage, fine-tuning, prompt engineering.
- Experience building or orchestrating AI agents, multi-step workflows, or tools that coordinate multiple AI-powered components.
- Knowledge of CI/CD pipelines, automated testing frameworks.
- Understanding of security best practices (authentication, authorization, data protection).
- Experience with other databases (SQL, Redis) or caching, message queues (e.g. Kafka, RabbitMQ).
- Experience with performance optimization (front-end, back-end) and monitoring tools.
Job Type: Full-time
Pay: ₹30, ₹60,000.00 per year
Application Question(s):
- Share you experience with generative AI and GENAI tools.
- what is your notice period in days?
Work Location: In person
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