AI & ML Engineer

About Aurexillion

Aurexillion Technologies is a US-based AI & IT consulting company helping businesses build secure AI systems, automation workflows, cloud platforms, data solutions, and custom software. We focus on practical digital transformation, responsible engineering, and measurable business value — not empty AI hype.

Role Overview

As an AI & ML Engineer, you will work on AI-powered applications, LLM integrations, automation agents, data-driven systems, and machine learning solutions for global clients. You will help turn business requirements into secure, scalable, and maintainable AI systems. You should be comfortable working with LLM APIs, retrieval-augmented generation, vector databases, Python-based AI development, cloud platforms, and production deployment practices.

Key Responsibilities

• Design, build, and maintain AI/ML systems for client-facing and internal business applications.
• Develop LLM-powered features using OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, Hugging Face, or similar platforms.
• Build retrieval-augmented generation (RAG) systems using vector databases such as Pinecone, Weaviate, ChromaDB, pgvector, FAISS, or similar tools.
• Create AI assistants, intelligent agents, document processing workflows, automation tools, and knowledge retrieval systems.
• Design prompt engineering strategies, reusable prompt libraries, model evaluation flows, and response quality checks.
• Develop backend services and APIs to integrate AI capabilities into web applications, SaaS platforms, and enterprise systems.
• Work with Python-based AI frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, FastAPI, or similar tools.
• Deploy AI/ML applications on cloud platforms such as AWS, Azure, or Google Cloud.
• Support MLOps, CI/CD, containerization, monitoring, and model performance tracking.
• Implement responsible AI practices, including hallucination reduction, bias awareness, prompt-injection protection, privacy, access control, and human-in-the-loop workflows.
• Collaborate with product managers, developers, designers, and client stakeholders to deliver high-quality solutions.
• Document AI workflows, system architecture, technical decisions, and deployment processes.

Required Qualifications

• 4+ years of professional experience in software engineering, machine learning engineering, data science, or AI development.
• 2+ years of hands-on experience with AI/ML, NLP, LLMs, generative AI, or production AI systems.
• Strong Python programming skills.
• Experience working with LLM APIs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.
• Experience with prompt engineering, few-shot prompting, structured outputs, function calling, or tool-based AI workflows.
• Hands-on experience building RAG systems or semantic search applications.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, pgvector, FAISS, or similar technologies.
• Familiarity with AI frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, TensorFlow, PyTorch, or scikit-learn.
• Experience building APIs and backend services using FastAPI, Flask, Django, Node.js, or similar frameworks.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of Docker, CI/CD pipelines, Git, and production deployment workflows.
• Strong understanding of AI safety, model evaluation, data privacy, hallucination mitigation, and secure AI design.
• Strong problem-solving skills and ability to work independently in a remote environment.
• Excellent English communication skills, C1 or higher, for technical discussions and client collaboration.

Tech Stack

• Languages: Python, TypeScript, JavaScript, SQL.
• AI/ML: OpenAI API, Azure OpenAI, Claude, Gemini, Hugging Face, LangChain, LlamaIndex, TensorFlow, PyTorch, scikit-learn.
• Vector databases: Pinecone, Weaviate, ChromaDB, pgvector, FAISS.
• Backend: FastAPI, Flask, Django, Node.js, REST APIs, WebSockets.
• Cloud and DevOps: AWS, Azure, Google Cloud, Docker, Kubernetes, CI/CD, GitHub Actions.
• Data: PostgreSQL, MongoDB, SQL, ETL/ELT pipelines, data processing workflows.
• Practices: MLOps, prompt evaluation, responsible AI, secure architecture, Agile/Scrum.

Preferred Qualifications

• Experience with agentic AI systems, multi-agent workflows, AI tool use, or autonomous workflow agents.
• Experience with fine-tuning, LoRA/QLoRA, RLHF, DPO, or model customization.
• Experience with MLOps tools, model monitoring, A/B testing, or AI evaluation frameworks such as RAGAS, DeepEval, TruLens, or similar tools.
• Experience building AI-powered SaaS products, enterprise systems, or internal business automation tools.
• Familiarity with multimodal AI models, document AI, OCR, speech-to-text, or image understanding.
• Experience with Kubernetes, Terraform, serverless infrastructure, or scalable cloud architecture.
• Knowledge of security, compliance, GDPR, SOC 2, HIPAA, or enterprise data governance.
• Previous remote work experience with distributed teams.
• Experience explaining technical AI concepts to non-technical stakeholders.

What We Look For

• Technically strong and practical.
• Comfortable building production-ready AI systems.
• Clear in communication.
• Responsible with deadlines and ownership.
• Curious about new AI tools and frameworks.
• Careful about security, privacy, and responsible AI.
• Able to work independently in a remote team.
• Focused on real business value, not just AI experiments.

Example Projects You May Work On

• Internal AI knowledge assistants for business teams.
• AI document processing and data extraction workflows.
• Customer support automation using LLMs and human escalation.
• AI agents for operations, sales, recruiting, finance, or administrative workflows.
• RAG-based search systems connected to internal documents and databases.
• Predictive analytics dashboards and data-driven decision tools.
• AI-powered SaaS features for enterprise applications.
• Secure cloud-based AI platforms for client operations.

Why Join Aurexillion

• Work remotely with a global team.
• Build practical AI systems for real business use cases.
• Work on modern AI, automation, cloud, data, and software projects.
• Collaborate closely with leadership in an early-stage company.
• Influence architecture, AI strategy, engineering standards, and delivery practices.
• Grow with a trust-first AI & IT consulting company.
• Flexible working environment focused on ownership, communication, and quality.

Equal Opportunity

Aurexillion Technologies is committed to respectful and fair hiring. We welcome qualified candidates from different backgrounds, locations, and experiences. Hiring decisions are based on skills, experience, communication, professionalism, and role fit.