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Urgent! Generative AI Engineer Jobs | Grid Dynamics

Generative AI Engineer



Job description

TE- 6-8 Years

Location-Bangalore

NP- Immediate


Key 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 MCP


Skill Category Specific Skills Proficiency Level

Programming Python (Flask/FastAPI), Go, Node.js Expert / Intermediate

Foundational DSA, Coding Standards Expert

DevOps & Deployment Git, Jenkins, CI/CD, Docker, Kubernetes Expert / Intermediate

Cloud Platforms Azure, AWS Intermediate

GenAI Expertise RAG pipelines, embeddings, vector stores Intermediate

LLM Agents LangChain, CrewAI, Aider, Cline Intermediate

Model Ecosystem OpenAI, Anthropic, Gemini Intermediate

Linux Systems Shell scripting, container orchestration Intermediate


Grid 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 .


Required Skill Profession

Computer Occupations



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