With 15+ years of experience in IT, global partners and clients, Energize Global Services (EGS) is a solid, leading-edge Technology Company focused on delivering software services and products for the Banking and Financial Management Industry. We are specialized in developing Banking Systems, all types of payment solutions and other large applications. Over the years EGS proved to be a reliable and trusted partner for the biggest player in the Financial technology industry. Join our team in Yerevan, elevate your career to a new level by becoming part of a team that is shaping the future of Fintech.

We are looking for an Agentic AI Engineer to design and implement next-generation AI systems that leverage autonomous agents, orchestration frameworks, and large language models (LLMs). In this role, you will build AI-driven applications capable of reasoning, planning, and interacting with APIs, data, and tools to solve real-world problems.

You will deploy solutions across cloud environments (Google Cloud, AWS, Azure, or hybrid setups) and integrate with modern ML/AI stacks. The role combines strong software engineering skills with deep AI expertise to deliver scalable, production-ready intelligent systems.

Must-Have

• Hands-on experience with LLMs and agentic AI frameworks (LangChain, LlamaIndex, Haystack, or similar).
• Strong Python programming skills and knowledge of AI/ML libraries (PyTorch, TensorFlow, Hugging Face).
• Experience deploying AI applications in cloud environments (Google Cloud, AWS, or Azure).
• Solid understanding of API integration, orchestration, and external tool calling.
• Familiarity with RAG pipelines,  and structured reasoning.
• Strong grounding in software engineering practices (CI/CD, testing, version control).

Nice-to-Have

• Knowledge of multi-agent orchestration and autonomous workflow design.
• Experience with Google AI ecosystem (Gemini API, Vertex AI Agents, Generative AI Studio).
• Exposure to AWS Bedrock, SageMaker, or Azure OpenAI Services.
• Contributions to open-source AI/LLM projects are a plus.

Responsibilities

• Design and develop agentic AI systems using LLMs and orchestration frameworks (LangChain, LlamaIndex, CrewAI, etc.).
• Implement retrieval-augmented generation (RAG), tool usage, and memory architectures for context-aware AI agents.
• Deploy and optimize AI workloads on cloud platforms (Google Cloud, AWS, Azure) with services such as Vertex AI, SageMaker, Bedrock, or Azure OpenAI.
• Integrate multiple foundation models (Gemini, GPT, Claude, Llama, Mistral, etc.) into multi-agent workflows.
• Ensure scalability, reliability, and observability of autonomous agents in production.
• Collaborate with data engineers, product managers, and researchers to translate business needs into AI-powered applications.