Senior AI Engineer
We are seeking Senior AI Engineers to join our team in building a cutting-edge AI platform centered on agentic capabilities and knowledge-graph-based solutions. In this hands-on contributor role, you will work closely with an established engineering and project management team to design, build, and evolve production-grade AI systems. We need engineers with true hands-on AI experience, specifically those who have architected and built agentic workflows from the ground up and understand their mechanics beyond basic API usage.
Essential functions
Design and implement agentic AI systems, multi-step AI workflows, and platform components using large language models.
Build, maintain, and optimize knowledge graphs and graph-based data structures for complex reasoning systems.
Construct robust, production-grade integrations leveraging AWS cloud infrastructure and native AI services.
Contribute directly to the overall architecture, testing, debugging, and deployment of scalable AI solutions.
Collaborate with engineers and Project Managers to drive deliverables and evaluate emergent AI technologies, memory models, and agentic approaches.
Qualifications
Proven, hands-on experience building AI agents, multi-step workflows, or agentic architectures with a deep functional understanding of their underlying mechanics.
Hands-on experience designing and building end-to-end enterprise knowledge graph architectures, with deep expertise in graph databases and query languages such as AWS Neptune, Neo4j, Gremlin, or Cypher.
Strong professional experience in AWS, including architecting and executing cloud-based systems.
Hands-on experience working with OpenAI APIs and AWS Bedrock (preferably with Claude models).
Advanced programming proficiency in Python (or equivalent core language), paired with experience designing and integrating production-ready APIs and microservices.
Practical experience working with knowledge graphs and graph databases.
Would be a plus
Expertise in RAG (Retrieval-Augmented Generation), tool use, function calling, planning algorithms, agent memory, and evaluation strategies.
Familiarity with popular AI agent orchestration frameworks and tools.
Proven track record of deploying, monitoring, and operating complex AI systems in production.
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.