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Grid Dynamics Holdings, Inc
Senior AI Engineer
Career Insights for Natural Language Processing Engineer
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$158,568 / year median in California
Job Description
We are looking for Senior AI Engineers to join our team in building an advanced AI platform centered on agentic capabilities and knowledge-graph-based solutions. In this role, you will join a team of three engineers and two Project Managers as a key hands-on contributor. Working closely alongside the existing engineering and product leadership, you will actively design, build, and evolve the platform's core architecture and intelligence capabilities. Essential functions Design and implement agentic AI systems and workflows. Develop production-ready AI platform components using large language models. Work with knowledge graphs and graph-based data structures. Build integrations with AWS AI and cloud services. Contribute to the architecture and implementation of scalable AI solutions. Develop, test, debug, and optimize hands-on solutions. Collaborate with engineers and Project Managers to deliver project objectives. Investigate new approaches and technologies relevant to agentic AI and knowledge graphs. Qualifications Strong professional experience in AI/ML engineering or software engineering with a significant focus on AI. Proven hands-on experience building agentic systems, AI agents, or multi-step AI workflows. Strong understanding of how agentic systems work beyond simply using existing AI tools or APIs. Deep hands-on experience with AWS, including designing and implementing cloud-based solutions. Experience with AWS Bedrock, preferably with Claude models. Experience working with OpenAI models and APIs. Strong programming skills in Python or another relevant language. Experience designing and integrating APIs and production-grade services. Practical experience with knowledge graphs, graph databases, or graph-based reasoning. Strong problem-solving and communication skills. Ability to work independently in a hands-on engineering role. Would be a plus Experience with AWS Neptune. Experience with Neo4j. Experience designing knowledge graph architectures. Experience with graph query languages such as Gremlin or Cypher. Experience with AI agent frameworks or orchestration tools. Experience with RAG, tool use, function calling, planning, memory, and agent evaluation. Experience deploying and operating 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 (