Senior Software Engineer - AI Solutions
First seen by Alion on Oct 23, 2026.
About the Role:
IntellyLabs Technologies is looking for a skilled Senior Software Engineer - AI to build production-grade AI applications, agentic workflows, and enterprise AI solutions. The ideal candidate will have strong Python development skills, hands-on experience with Generative AI and Large Language Models (LLMs), and expertise in developing Retrieval-Augmented Generation (RAG) pipelines.
Key Responsibilities:
- Design and develop production-ready AI applications, LLM-powered services, and agentic AI workflows.
- Build scalable backend services and automation using Python.
- Implement RAG pipelines, embeddings, vector databases, and semantic search solutions.
- Integrate LLMs and AI services with enterprise systems using REST APIs, OData APIs, and SQL.
- Develop AI agents with tool calling, function calling, and workflow orchestration capabilities.
- Evaluate and optimize AI application quality, performance, reliability, and scalability.
- Collaborate with US-based AI leadership on solution architecture and engineering best practices.
- Mentor junior AI engineers through code reviews, design discussions, and technical guidance.
Required Skills:
- 5 - 7 years of overall software engineering experience, including at least 2 years of hands-on AI engineering experience.
- Strong proficiency in Python and production-grade software development.
- Experience integrating LLM APIs such as OpenAI, Azure OpenAI, Anthropic, or Google Gemini.
- Hands-on experience building agentic AI applications using LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
- Strong understanding of RAG architectures, embeddings, vector stores, and tool/function calling.
- Experience building RESTful APIs and integrating AI applications with databases and enterprise systems.
- Understanding of AI evaluation, debugging, monitoring, and performance optimization.
- Experience mentoring junior engineers or providing technical guidance.
- Strong communication and problem-solving skills, including the ability to collaborate with international teams.
Preferred Skills:
- Azure AI Foundry, Microsoft Copilot Studio, or Power Platform.
- Enterprise ERP integrations and business workflow automation.
- AI observability, evaluation, and monitoring tools.
- Experience deploying and maintaining AI applications in production environments.
Interview Process:
- Two virtual interview rounds with the US-based team.
Skills
AI Integration, Artificial Intelligence, LLM, RAG, Python, OpenAI, Azure, Agentic AI, Generative AI