We are looking for a highly motivated Senior Full Stack Developer to join our engineering team. You will design, develop, and maintain scalable web applications across the entire technology stack. The ideal candidate has strong backend expertise in Python or Java, experience building modern frontend applications with React, and is passionate about delivering high-quality software.
Experience with Elasticsearch is highly desirable, while knowledge of LangChain,LLMs, and vector embeddings is considered a strong bonus.
Responsibilities
Design, develop, and maintain scalable full-stack web applications.
Build robust backend services using Python (FastAPI/Django) or Java (Spring Boot).
Develop responsive and reusable frontend components using React.
Design and implement RESTful APIs and microservices.
Integrate applications with SQL and NoSQL databases.
Optimize application performance, scalability, and reliability.
Collaborate with product managers, designers, and cross-functional engineering teams.
Write clean, maintainable, and well-tested code.
Participate in code reviews and mentor junior developers.
Troubleshoot production issues and implement long-term solutions.
Required Qualifications
Bachelor's degree in Computer Science or related field, or equivalent practical experience.
10+ years of professional software development experience.
Strong proficiency in Python or Java.
Experience with backend frameworks such as:
FastAPI
Spring Boot
Strong understanding of:
REST APIs
Microservices
Authentication & Authorization
API security
Experience with relational databases such as PostgreSQL or MySQL.
Familiarity with NoSQL databases such as MongoDB.
Experience building modern frontend applications using React.
Strong understanding of JavaScript/TypeScript, HTML5, and CSS3.
Experience using Git and CI/CD pipelines.
Excellent problem-solving and debugging skills.
Preferred Qualifications
Hands-on experience with Elasticsearch, including:
Index design
Query DSL
Aggregations
Relevance tuning
Performance optimization
Experience with cloud platforms (AWS, Azure, or GCP).
Experience with Docker and Kubernetes.
Familiarity with distributed systems and event-driven architectures.
Nice to Have
Experience with Generative AI technologies, including:
LangChain
Retrieval-Augmented Generation (RAG)
Embedding models
Vector databases
Semantic search
Prompt engineering
LLM integrations (OpenAI, Anthropic, Azure OpenAI, etc.)
Technical Skills
Backend:
Python or Java
FastAPI / Spring Boot
REST APIs
Microservices
SQL & NoSQL
Frontend:
React
TypeScript
JavaScript
HTML/CSS
Search
Elasticsearch AI (Bonus)
LangChain
Embeddings
Vector Databases
RAG
LLM APIs
DevOps
Git
Docker
CI/CD
AWS/Azure/GCP
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