Please note: This is an on site position in Pune.
US Working hours.
Please apply only if you are comfortable with the timings and location.
Job Description
Design, develop, and deploy state-of-the-art AI applications using frameworks like Langchain, Langraph, and CrewAI, with a particular focus on RAG systems.
5+ years of experience as a Full Stack Engineer with a strong background in React, Python, MongoDB, and AWS.
Leverage vector databases to build and optimize Retrieval-Augmented Generation (RAG) systems that efficiently store, retrieve, and generate information from large datasets.
Develop scalable web applications using Python, Django, integrating AI models and services into production-grade applications.
Use coding helper tools like Cursor to improve productivity and streamline the development process.
Experienced in implementing and managing automated CI/CD pipelines using GitHub Actions and AWS Cloudformation.
Skilled in architecting scalable solutions for systems at scale, leveraging caching strategies, messaging queues and async/await paradigms for highly performant systems
Proficient in deploying cloud-native apps using AWS (Lambda, API Gateway, S3, ECS), with a focus on serverless architectures to reduce overhead and boost agility.
Proficient in a wide range of development tools such as FastAPI, React State Management, REST APIs, Websockets and robust version control using Git.
Competent in applying AI technologies, particularly in using GPT models for natural language processing, automation and creating intelligent systems.
You’ve built and shipped products that users love and have seen the impact of your work at scale.
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What happens next?
An email has been sent to the employer to notify them of your new application.
The employer has up to 30 days (usually allot quicker!) to respond and either accept or decline your application. Once a response is received you will be emailed and you can view all responses via your members area.