Overview
We are seeking an intermediate-level Generative AI Engineer with experience in developing and implementing solutions based on Large Language Models (LLMs), intelligent agents, and RAG architectures for enterprise environments. The ideal candidate should possess strong skills in Python, API integration, AI agent development, and the use of agentic frameworks (such as LangGraph, CrewAI, AutoGen, and Semantic Kernel) and AI cloud platforms (including Vertex AI, Azure AI, AWS Bedrock, or OpenAI Enterprise).
Your Role and Responsibilities
•Service development, automation, API integration, data processing, and scripting.
•Building agents with tools, memory, prompts, task flows, and basic orchestration.
•Implementing connectors for APIs, documents, databases, and workflows.
• Implementing embeddings, vector databases, chunking, semantic search, metadata filtering, and source control.
• Hands-on experience with OpenClaw, LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalents.
• Practical use of Vertex AI, Azure AI, AWS Bedrock, or OpenAI Enterprise.
• Prompt testing, response evaluation, basic monitoring, traceability, and version control.
• Secure credential handling, basic access control, input validation, prompt injection mitigation, and use of guardrails.
• Queries, data analysis, connecting to corporate sources, and basic understanding of data models.
•Consuming, exposing, and integrating services.
REQUIREMENTS
- Advanced Python
- Agent implementation
- MCP / Tool Calling / Function Calling
- Enterprise RAG
- Agentic frameworks
- Cloud for AI
- LLMOps / Basic MLOps
- Applied security
- SQL and data handling
- REST APIs
- Experience delivering in [context — e.g. regulated industries, nearshore teams, AI-integrated systems]
- Strong written and verbal communication in English
Working at Motivus
- Grow Your Career: At Motivus, you will have the opportunity to expand your skills and take on leadership roles in diverse projects.
- Work on Emerging Tech: Be at the forefront of innovation by working with cutting-edge technologies and methodologies.
- Collaborative Environment: Work with talented teams that value your ideas and contributions.
- Learning and Development: We offer a range of L&D programs to help you advance your career.
- Client-Centric Approach: Contribute to solutions that create lasting value for global Fortune 500 clients.
- Culture of Innovation: We pursue innovation relentlessly, encouraging our teams to explore new ideas and technologies.
- Responsibility: We give back to the communities that support us and our clients.
- Learning & Development: Our employees lead, learn, and grow, supporting themselves and our clients.
