Generative AI Engineer
First seen by Alion on Oct 9, 2026.
Job Description :
We are looking for a hands-on Generative AI Engineer to develop intelligent software applications powered by large language models. This role is suited to a software developer who can combine Python programming, prompt design, API integration, and retrieval-based techniques to build practical AI-driven features.
You will contribute to the development of applications that use LLMs to understand user requests, retrieve relevant information, invoke tools, and complete multi-step tasks.
What You Will Work On :
- Build Python-based applications that incorporate Generative AI capabilities and LLM-powered functionality.
- Integrate commercial and enterprise LLM services into software products using their APIs.
- Develop prompt templates and refine prompting strategies to improve response relevance and consistency.
- Implement RAG pipelines that connect language models with external knowledge sources.
- Create AI agents that use function calling and tools to perform defined tasks across multiple steps.
- Integrate AI components with REST APIs, backend services, and microservice-based applications.
- Use suitable agent development frameworks to implement application workflows and manage interactions with LLMs.
- Test AI-generated responses, evaluate application behavior, and improve output quality.
- Apply observability, guardrails, and responsible AI practices to support dependable application behavior.
- Follow established software development practices, including version control, automated testing, and CI/CD.
Skills We Are Looking For :
- 3 - 6 years of software development experience.
- Strong hands-on programming skills in Python.
- Practical experience developing applications powered by Generative AI and large language models.
- Familiarity with OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent LLM services.
- Understanding of prompt engineering, function calling, and tool integration.
- Experience implementing RAG workflows and working with vector databases.
- Familiarity with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent technologies.
- Understanding of AI agent architectures and multi-step task execution.
- Knowledge of LLM evaluation, observability, AI guardrails, and responsible AI principles.
- Experience with REST APIs, microservices, Git, CI/CD pipelines, and software testing.
- BE, B.Tech, or MCA qualification.
What We Offer :
- Opportunities to build practical applications using modern Generative AI technologies.
- A collaborative environment with a dedicated engineering team.
- Competitive salary and benefits.
- Flexible working arrangements.
- Medical insurance and sports benefits.
- Corporate events and professional learning opportunities.
- A well-equipped office.
Skills
Generative AI, Python, LLM, LangChain, RAG, Prompt Engineering, Agentic AI