Job Title

TE- 6-8 YearsLocation-BangaloreNP- ImmediateKey Responsibilities• Manage the team, Design, develop, and maintain GenAI applications and agentic workflows using Python, Go, and Node.js.• Implement Retrieval-Augmented Generation (RAG) pipelines with vector stores and embeddings.• Integrate LLM agents (LangChain, CrewAI, Aider, Cline) into enterprise workflows.• Develop APIs using Flask or Fast API for scalable microservices.• Ensure coding standards, CI/CD pipelines, and deployment automation using Git, Jenkins, and container orchestration.• Manage Docker, Kubernetes, and Linux-based environments for cloud-native deployments.• Work with Azure, AWS, and hybrid cloud setups for GenAI workloads.• Collaborate on fine-tuning models, prompt engineering, and multi-provider AI integration (OpenAI, Anthropic, Gemini).• Optimize performance and security for enterprise-grade AI solutions.Required Skills• Programming Languages: Python (Flask/Fast API), Go, Node.js.• Foundational Knowledge: Data Structures & Algorithms, coding best practices.• DevOps: Git, Jenkins, CI/CD, Docker, Kubernetes.• Cloud Platforms: Azure, AWS.• GenAI Expertise: RAG pipelines, embeddings, vector stores, LangChain/CrewAI.• Model Ecosystem: OpenAI GPT, Anthropic Claude, Google Gemini.• Linux Systems: Shell scripting and container management.• Experience with multi-modal AI, agentic frameworks, and cloud-native architectures.• Strong experience in building and deploying Agentic RAG and Worked extensively on MCPSkill Category Specific Skills Proficiency LevelProgramming Python (Flask/FastAPI), Go, Node.js Expert / IntermediateFoundational DSA, Coding Standards ExpertDevOps & Deployment Git, Jenkins, CI/CD, Docker, Kubernetes Expert / IntermediateCloud Platforms Azure, AWS IntermediateGenAI Expertise RAG pipelines, embeddings, vector stores IntermediateLLM Agents LangChain, CrewAI, Aider, Cline IntermediateModel Ecosystem OpenAI, Anthropic, Gemini IntermediateLinux Systems Shell scripting, container orchestration IntermediateGrid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central, and Eastern Europe. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.To learn more about Grid Dynamics, please visit . Follow us on Facebook, Twitter, and LinkedIn.