Senior Software Engineer (Full Stack AI Engineer)

Job Description:-

Summary

We are seeking a motivated Full Stack AI Engineer to design, build, and deploy scalable AI-powered web applications. Focus on Python, Agentic AI workflows (e.g., LangChain, CrewAI, AutoGen), full-stack web development (React, FastAPI, Node.js), vector databases (Pinecone, Weaviate), and enterprise AI integrations.

Key Responsibilities

·         Design, develop, and maintain scalable AI and web applications using Python, FastAPI, React.js, and Node.js.

·         Build Agentic AI workflows for autonomous agents, including multi-agent systems, RAG pipelines, and LLM orchestration.

·         Implement database schemas using SQL Server, PostgreSQL, and vector DBs (e.g., Pinecone, Weaviate, Milvus) for semantic search and embeddings.

·         Integrate cloud platforms like Azure AI, AWS Bedrock/SageMaker, and deploy containerized apps with Docker/Kubernetes.

·         Develop RESTful APIs, microservices, and front-end UIs for AI-driven features like chatbots, recommendation engines, and real-time analytics.

·         Collaborate in agile teams using Git for version control, CI/CD pipelines, and iterative development.

·         Optimize AI models for production (e.g., fine-tuning LLMs, prompt engineering) and ensure scalability in enterprise environments.

Requirements:-

·         Bachelor’s degree or higher in computer science, Information Technology, Engineering, or AI Engineering.

·         Proficiency in Python (including libraries like LangChain, LlamaIndex, Hugging Face Transformers).

·         Strong full-stack skills: Frontend (React.js, Next.js), Backend (FastAPI, Flask, Node.js/Express).

·         Hands-on with Agentic AI frameworks and workflows for building intelligent, autonomous systems.

·         Experience with vector DBs, SQL/NoSQL databases, and data pipelines (e.g., Apache Airflow).

·         Knowledge of version control systems (Git), agile methodologies , and DevOps tools (Docker).

·         Familiarity with cloud platforms like Azure, AWS; is a plus.

·         Strong problem-solving, analytical, and communication skills;

Nice-to-Haves

- Contributions to open-source AI projects or personal Agentic AI prototypes.