Senior FullStack Developer
We are seeking a Senior Full Stack Developer (6 - 10 years) to bridge the gap between traditional web architecture and Agentic AI. You will design high-performance React frontends and build Python backends that power autonomous AI agents capable of reasoning, tool-use, and complex task execution.
Essential functions
Agentic Orchestration: Design and implement autonomous agent workflows using frameworks like LangGraph, CrewAI, or LangChain.
Full Stack Build: Develop responsive, high-fidelity frontends in React.js and robust, scalable APIs in Python (FastAPI or Django).
Tool-Calling Integration: Build "Tools" (APIs/Functions) that allow AI agents to interact securely with internal databases and third-party services.
Data Architecture: Manage traditional relational data (PostgreSQL) alongside Vector Databases (Pinecone, Weaviate, or Milvus) for RAG-based search.
System Optimization: Implement real-time streaming interfaces and optimize LLM latency to ensure a fluid user experience.
Mentorship & Standards: (For Senior level) Lead code reviews, define AI engineering best practices, and contribute to the SCSE team’s technical roadmap.
Qualifications
6-10 Years of Professional Experience in full-stack software development.
Core Backend: Expert proficiency in Python, including experience with asynchronous programming (
asyncio) and API frameworks.Core Frontend: Strong mastery of React.js, TypeScript, and modern state management (e.g., Redux Toolkit, TanStack Query).
AI Implementation: Hands-on experience building apps powered by LLMs (OpenAI, Claude, or Gemini) beyond simple prompt engineering.
Software Foundations: Deep understanding of Git, Docker, and CI/CD pipelines.
Database Knowledge: Proficiency in SQL and experience designing efficient data schemas.
Would be a plus
Advanced AI Workflows: Experience with LangGraph (for stateful agents) or Multi-agent orchestration.
RAG Expertise: Knowledge of advanced Retrieval-Augmented Generation (semantic search, re-ranking, and hybrid search).
Cloud Native: Familiarity with deploying AI workloads on AWS or Azure.
Evaluation & Observability: Experience with tools like LangSmith, W&B, or Arize Phoenix to monitor agent performance.
Open Source: Contributions to AI-related open-source projects or a strong portfolio of AI experiments.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.