AI Engineer

At Xpression Corp, we're looking for engineers who want to build AI products that are deployed, scaled, and used in the real world—not just experimented with in notebooks.

If you're passionate about Machine Learning, LLMs, AI Agents, backend engineering, and solving complex product challenges, this role offers the opportunity to work on end-to-end AI systems that drive tangible business outcomes.

**What You'll Do
**As an AI Engineer, you'll be responsible for designing, developing, and scaling intelligent systems that power production applications.

**Your work will include:
**• Building AI-powered applications using modern ML and LLM frameworks
• Developing agentic workflows, memory systems, and context-aware AI experiences
• Designing scalable backend architectures and APIs for AI products
• Creating and optimizing retrieval pipelines, vector search systems, and RAG architectures
• Implementing Transformer-based solutions for NLP and Generative AI use cases
• Building production-ready ML pipelines from data processing to model deployment
• Driving performance, reliability, scalability, and continuous improvement across AI systems

**What We're Looking For
**• 2+ years of experience in AI Engineering, Machine Learning, or Backend Development
• Strong understanding of Machine Learning fundamentals and model evaluation techniques
• Hands-on experience developing and deploying production-grade applications
• Solid knowledge of Transformers, embeddings, tokenization, and modern NLP architectures
• Proficiency in Python, FastAPI, API development, and backend engineering principles
• Ability to think beyond prototypes and build scalable, maintainable systems

**Technologies You'll Work With
**AI & LLM Frameworks: LangChain, LangGraph, Autogen
Databases: PostgreSQL, MySQL
Vector Databases: Pinecone, FAISS, Chroma, Weaviate
Backend & Infrastructure: FastAPI, REST APIs, WebRTC
Core Concepts: RAG, AI Agents, Retrieval Pipelines, AI Workflows, System Design

**Nice to Have
**• Experience with PyTorch or TensorFlow
• Exposure to AWS, Azure, or GCP
• Understanding of distributed systems and scalable architectures
• Experience building autonomous AI agents and workflow orchestration systems