Join the senior engineering team building an AI-powered platform for analyzing and managing complex structured documents. You will own the intelligence layer end-to-end, improving a production RAG system, developing autonomous AI agents, and building evaluation frameworks to ensure accuracy, reliability, and performance. This is a hands-on AI engineering role where AI coding tools are an integral part of the development workflow, offering high ownership, autonomy, and the opportunity to solve challenging real-world AI problems.
Responsibilities
Own and enhance a production RAG-based AI platform, improving response quality, speed, and coverage.
Design and implement AI agents for document analysis, workflow automation, and event monitoring.
Build automated information extraction pipelines from complex structured documents.
Develop and maintain AI evaluation frameworks to measure accuracy, hallucination rates, latency, and coverage.
Leverage AI coding tools (Claude Code, Cursor, Copilot) to accelerate development while ensuring production-quality output.
Collaborate with backend engineers and architects on APIs, integrations, and AI system design.
Translate business requirements into scalable AI solutions and communicate technical trade-offs to stakeholders.
Continuously improve the reliability, observability, and performance of AI systems in production.
Requirements
Technical Skills
Must-Have
5+ years of professional software engineering experience.
Strong Python (3.11+) development skills with experience building production-grade applications.
Proven experience delivering production AI systems using RAG, retrieval pipelines, structured extraction, or AI agents.
Strong understanding of LLMs, embeddings, vector databases, re-ranking, prompt engineering, and context optimization.
Experience designing autonomous or agentic AI workflows with guardrails and human-in-the-loop approaches.
Hands-on experience evaluating AI systems, including accuracy, latency, hallucination detection, and benchmarking.
Experience with Flask, PostgreSQL, Redis, Celery, Docker, and Kubernetes.
Practical experience using AI coding assistants such as Claude Code, Cursor, or GitHub Copilot.
Strong analytical thinking, ownership mindset, and ability to work independently in a distributed team.
Upper-Intermediate or higher English (B2+).
Nice to have
SQLObject ORM
Experience with legal or structured document data
Angular API integration (collaboration only, no UI building)
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.