ai engineer in enterprise workflows

Proxima Tech Solutions is a technology company that provides scalable, secure, and tailored solutions in artificial intelligence, cloud technologies, cybersecurity, and digital services. Its AI team develops practical, production-ready AI systems for real products, enterprise workflows, and customer-focused solutions.

• Develop LLM-based applications, Agentic AI systems, and Speech AI solutions;
• Integrate AI models and services with other systems through REST API, WebSocket, or similar mechanisms;
• Design and build agent workflows;
• Work with voice-based AI technologies;
• Develop production-level AI applications;
• Analyze technical problems independently and select suitable solution architectures.

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field, or equivalent practical experience;
• At least 2 years of practical experience in AI Engineering, Applied AI, or a related field;
• Strong Python knowledge and experience building production-level applications;
• Practical experience with Large Language Models (LLMs) and Generative AI technologies in real projects;
• Experience working with APIs and SDKs of OpenAI, Anthropic, Gemini, or open-source LLMs;
• Practical experience with prompt engineering, structured outputs, function/tool calling, embeddings, RAG, vector search, and context management;
• Experience developing or working with Agentic AI systems, including multi-step workflows, task planning, tool integration, state and memory management, and agent orchestration;
• Experience with LangGraph, LangChain, LlamaIndex, AutoGen, or similar frameworks;
• Practical experience with Speech AI technologies, including Automatic Speech Recognition (ASR/Speech-to-Text) and Text-to-Speech (TTS);
• Understanding of latency, interruption handling, streaming, and conversation flow principles in real-time voice systems;
• Nice to have: Practical experience with Computer Vision, real-time AI and multimodal systems, voice agents or conversational AI systems, MCP, multi-agent systems and agent orchestration approaches, on-premise AI deployment or self-hosted model infrastructure.

• No conditions specified