Full-Stack Software Engineer Distributed Systems & AI

Job Summary

We are looking for a highly skilled Full-Stack Software Engineer with strong expertise in Python, JavaScript/TypeScript, distributed backend systems, and modern web technologies. The ideal candidate should have solid software engineering fundamentals, experience building scalable applications, and hands-on knowledge of databases, vector databases, RAG pipelines, and AI-powered applications.

Key Responsibilities

• Design, develop, and maintain scalable, secure, and high-performance full-stack applications.


• Build distributed backend services, microservices, and RESTful APIs.


• Develop backend systems using Python frameworks such as FastAPI and Django, and Node.js.


• Build responsive, performant frontend applications using React and Next.js.


• Design and optimize relational, NoSQL, and vector database systems.


• Develop AI-powered applications using LLMs, RAG architectures, embeddings, semantic search, and vector databases.


• Integrate third-party APIs, AI models, external services, and data processing pipelines.


• Implement authentication, authorization, caching, asynchronous processing, and background jobs.


• Write clean, modular, reusable, testable, and maintainable code.


• Apply appropriate design patterns, OOP principles, SOLID principles, and software architecture best practices.


• Perform code reviews, debugging, performance optimization, testing, and production troubleshooting.


• Collaborate with product, data, and engineering teams to deliver reliable software solutions.

Required Skills

• Programming: Strong Python and JavaScript/TypeScript.


• Backend: FastAPI, Django, Node.js, REST APIs, microservices, distributed systems, and asynchronous programming.


• Frontend: React, Next.js, HTML5, CSS3, responsive design, and frontend state management.


• Databases: PostgreSQL, MySQL, MongoDB, Redis, and experience with database design, indexing, transactions, and query optimization.


• Vector Databases & AI: Qdrant, Pinecone, Weaviate, Chroma, or FAISS; embeddings, semantic search, RAG pipelines, and LLM API integration.


• Engineering Fundamentals: OOP, SOLID principles, design patterns, data structures, algorithms, clean code, and system design.


• Distributed Systems: Message queues, event-driven architecture, caching, concurrency, fault tolerance, and scalable service communication.


• DevOps & Deployment: Git, Docker, CI/CD, Linux, logging, monitoring, and cloud deployment fundamentals.


• Testing & Security: Unit testing, integration testing, API testing, secure coding, and authentication/authorization.

Good to Have

• Experience with machine learning, deep learning, NLP, and AI frameworks such as PyTorch or TensorFlow.


• Knowledge of LangChain, LlamaIndex, model serving, and agentic AI workflows.


• Experience with Kafka, RabbitMQ, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.


• Familiarity with GraphQL, WebSockets, observability tools, and infrastructure as code.


• Experience optimizing application latency, throughput, scalability, and cloud infrastructure costs.

Qualifications

Bachelor’s degree in Computer Science, IT, Engineering, or equivalent practical experience.

Ideal Candidate: An engineering-focused full-stack developer capable of designing distributed backend systems, building modern frontend applications, working across different database technologies, and developing AI-powered products using LLMs and RAG architectures.