Responsibilities
- Build and scale backend services, APIs, and integrations that embed AI/GenAI into enterprise systems (CRM, ERP, BI)
- Develop LLM-powered solutions such as RAG pipelines, copilots, agents, and automation workflows
- Take AI solutions from concept to production—design, build, test, deploy, and monitor
- Collaborate with architects and business stakeholders to turn requirements into practical AI implementations
- Create and manage data pipelines to enable reliable, high-quality AI workflows
- Ensure solutions are secure, scalable, observable, and aligned with best practices
Requirements
- 5+ years of experience in software or solutions engineering with production systems
- Strong programming skills in Python, Java, C#, or Node.js
- Hands-on experience with APIs, integrations (REST/webhooks), and backend development
- Practical experience working with LLMs/GenAI tools (e.g., OpenAI, LangChain, or similar)
- Experience with cloud platforms (preferably AWS), CI/CD, and containerization
- Solid understanding of AI/GenAI concepts like prompt engineering, RAG, or agents
- Ability to translate technical solutions into business impact and collaborate across teams
Nice to Have
- Experience integrating AI into CRM, ERP, or analytics platforms
- Familiarity with MLOps/LLMOps concepts such as model lifecycle and monitoring
- Exposure to machine learning or data analytics tools (e.g., Scikit-learn, dashboards)
- Experience working in global or distributed teams
- Knowledge of AI governance, security, and responsible AI practices
