Software Development Engineer - Generative AI

Grid Dynamics • Artificial Intelligence • IT Outsourcing & Dedicated Teams • Python • JavaScript • 1 day ago
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Salary
≈ $20k – $46k per year (Estimated)
Location
In office (Hyderabad)
Experience
3+ years exp

First seen by Alion on Oct 12, 2026.

Overview
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Grid Dynamics

Grid Dynamics is a technology services company that provides consulting, engineering and managed services in cloud computing, data, artificial intelligence and digital transformation. It designs and implements scalable software platforms, commerce solutions and infrastructure modernization projects for Fortune 1000 enterprises in retail, finance and technology, with engineering centers in Europe, the Americas and India. The company is headquartered in San Ramon, California, United States.
griddynamics.com • HQ: San Ramon, United States • AI Consulting & Integration • Cloud Consulting & Migration • IT Outsourcing & Dedicated Teams • Custom Software Development • IT Consulting & Digital Transformation • 501-1000 employees • Est. 2006
Tech stack of Grid Dynamics

Qualifications:

- 3 - 6 years of software development experience.

- Education Qualification BE / B. Tech / MCA.

Required Skills :

- Strong hands-on experience with Python.

- Strong understanding of Generative AI and Large Language Models (LLMs).

- Experience developing LLM-based applications.

- Good understanding of Agentic AI concepts.

- Experience with RAG pipelines.

- Strong knowledge of Prompt Engineering.

- Experience with REST APIs and microservices.

- Experience on UI (React JS / Java Script), HTML.

- Good understanding of Git, CI/CD, testing, and software engineering practices.

AI / Gen AI Skills :

- Experience with LLM APIs such as OpenAI / Azure OpenAI / Anthropic / Gemini.

- Experience with function / tool calling.

- Experience building AI agents capable of performing multi-step tasks.

- Experience on LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent frameworks.

- Understanding of vector databases.

- Knowledge of LLM evaluation and observability.

- Understanding of AI safety, guardrails, and responsible AI practices.

Skills

Full Stack, Javascript, Python, AI Integration, React.js, Generative AI, Agentic AI, Microservices Architecture, REST API, LangChain, LLM

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