Astro Sirens is an IT staffing agency based in Austin, Texas. We connect talented professionals from around the world with U.S. companies, offering exciting opportunities to work on innovative, high-impact projects.

We are currently seeking a Senior AI/ML Engineer with strong experience in modern AI technologies—including Large Language Models (LLMs), Generative AI, and intelligent agent systems—to design and deploy cutting-edge AI solutions.

Responsibilities

  • Design, develop, and deploy AI/ML solutions leveraging LLMs, NLP, and Generative AI
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models
  • Develop agentic AI systems (multi-step reasoning, tool use, orchestration frameworks)
  • Fine-tune, prompt-engineer, and evaluate large language models for production use cases
  • Build scalable, end-to-end ML/AI pipelines including data ingestion, preprocessing, model training, and deployment
  • Integrate AI solutions into applications via APIs and microservices
  • Collaborate with cross-functional teams (data engineers, product managers, and business stakeholders) to define AI-driven solutions
  • Implement model monitoring, evaluation frameworks, and guardrails (bias, hallucination mitigation, safety)
  • Optimize models and pipelines for performance, scalability, and cost-efficiency in cloud environments
  • Translate complex AI outputs into actionable insights for both technical and non-technical audiences
  • Contribute to AI best practices, architecture decisions, and internal tooling
  • Mentor junior engineers and guide teams on modern AI development patterns

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Statistics, or a related field
  • 5+ years of experience in machine learning, data science, or applied AI roles
  • Strong proficiency in Python and ML/AI ecosystems
  • Hands-on experience with LLMs and GenAI frameworks (e.g., OpenAI APIs, Hugging Face, LangChain, LlamaIndex, or similar)
  • Solid experience with NLP techniques and transformer-based models
  • Experience building RAG pipelines and working with vector databases (e.g., Pinecone, Weaviate, FAISS)
  • Experience designing or working with agentic workflows (tool calling, multi-agent systems, reasoning chains)
  • Strong understanding of ML fundamentals (supervised/unsupervised learning, deep learning, evaluation metrics)
  • Experience deploying models into production environments (APIs, batch/real-time systems)
  • Familiarity with MLOps/LLMOps practices (model versioning, CI/CD, monitoring, prompt/version management)
  • Strong SQL skills and experience with relational databases
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Understanding of AI safety, ethics, and data privacy considerations
  • Strong communication skills and ability to work with U.S.-based stakeholders

Preferred Qualifications

  • Experience with fine-tuning LLMs (LoRA, PEFT, or similar techniques)
  • Familiarity with evaluation frameworks for LLMs (e.g., human-in-the-loop, automated evals)
  • Experience with Docker, Kubernetes, and scalable AI deployments
  • Background in multi-modal AI (text, image, audio models)
  • Experience with big data tools like Spark or distributed data processing
  • Exposure to cost optimization strategies for LLM-based systems

Benefits

  • Paid Time Off (PTO)
  • Work From Home
  • Professional development opportunities
  • Training & Development Programs
  • Collaborative and inclusive company culture
  • Competitive salary and performance-based bonuses