Generative AI Engineer

Location: Bengaluru

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 (Lang Chain, 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.

• Dev Ops:
Git, Jenkins, CI/CD, Docker, Kubernetes.

• Cloud Platforms:
Azure, AWS.

• GenAI Expertise: RAG pipelines, embeddings, vector stores, Lang Chain/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
Dev Ops & Deployment Git, Jenkins, CI/CD, Docker, Kubernetes Expert / Intermediate
Cloud Platforms Azure, AWS Intermediate
GenAI Expertise RAG pipelines, embeddings, vector stores Intermediate
LLM Agents Lang Chain, 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.
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