Full Stack Engineer
Actively Reviewing the ApplicationsSoftmaxAI
Job Description
SoftmaxAI is a boutique firm specializing in cutting-edge solutions in Artificial Intelligence (AI) and Machine Learning (ML). Committed to enhancing organizational efficiency, SoftmaxAI develops innovative technologies in areas such as Computer Vision, Natural Language Processing (NLP), Predictive Modeling, Recommendation Engines, and AI for algo/quant trading. Our team uses advanced tools and frameworks to deliver impactful solutions. With a strong expertise in AI infrastructure and autonomous systems, SoftmaxAI helps organizations achieve transformative success through intelligent automation.
This is a full-time, on-site role for a Full Stack Engineer located in Ahmedabad. The engineer will be responsible for designing and maintaining scalable systems that integrate advanced AI capabilities. Core responsibilities include developing front-end interfaces, building robust server-side logic in Python, and implementing RAG (Retrieval-Augmented Generation) pipelines. You will collaborate with the team to create Agentic AI workflows that allow systems to reason and execute tasks autonomously, ensuring high performance and reliability across the entire stack.
- Experience Level: 0 to 1 year of professional experience or high-quality project work in software development.
- Backend Proficiency: Strong skills in Python and experience with frameworks like FastAPI, Django, or Flask.
- AI Knowledge: Familiarity with RAG architectures (Vector databases like Pinecone/Weaviate) and Agentic AI frameworks (such as LangChain, LangGraph, or CrewAI).
- Frontend Development: Proficiency in modern JavaScript frameworks (React.js or Next.js), HTML5, and CSS3.
- Full Stack Integration: Ability to design, build, and maintain comprehensive systems where the UI interacts seamlessly with AI-driven backends.
- Database Management: Proficient in working with SQL (PostgreSQL) or NoSQL databases.
- Problem Solving: Strong analytical skills with the ability to debug complex logical flows in autonomous agent systems.
- Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
Required Skills
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