Machine Learning Engineer

About the role

We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language Models (LLMs), and emerging Agentic AI capabilities to transform business processes and improve operational efficiency. This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable, production-ready AI systems that generate measurable business value.

Key Responsibilities

• Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions
• Build end-to-end AI workflows including data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement
• Create LLM-based applications such as RAG systems, prompt orchestration, agentic workflows, and tool integrations
• Create scalable APIs and AI services integrated with enterprise systems
• Establish and maintain MLOps pipelines including automated training, deployment, monitoring, and retraining
• Ensure AI solutions are scalable, secure, reliable, and production-ready
• Collaborate with business and technical stakeholders to translate requirements into AI-driven solutions
• Maintain model performance and continuously improve based on feedback and metrics
• Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
• Strong Python programming experience (backend development, APIs, automation)
• Experience deploying ML models in production environments
• Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
• Hands-on experience with LLMs, prompt engineering, and Generative AI
• Experience working with cloud platforms (GCP and/or AWS)
• Strong understanding of SDLC, version control, testing, and deployment practices
• Excellent analytical, communication, and problem-solving skills
• Ability to work in fast-paced, agile environments

Primary Skills

• Python
• Machine Learning
• Data Science
• GCP
• BigQuery

Experience Requirements

• Engineer Level 36+ years of IT experience
• 4+ years of development experience
• Experience with 2 programming languages or advanced proficiency in 1

Preferred Experience

• Agentic AI systems, multi-step workflows, autonomous agents, tool-calling architectures
• Frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, etc.
• MLOps tools: MLflow, Airflow, Vertex AI, SageMaker, Kubeflow, etc.
• Docker and Kubernetes
• Vector databases, embeddings, RAG, semantic search
• Large-scale enterprise data systems and data lakes
• AI system optimization (performance, cost, scalability)
• AI product or analytics platform development

Education

• Bachelor's Degree required

Additional Qualifications

• Self-starter with ability to work independently
• Strong communicator across technical and non-technical teams
• Collaborative and team-oriented
• Innovative mindset with strong problem-solving ability
• Results-driven and focused on production impact

Additional Information

• Strong experience required in production-grade AI systems, APIs, and cloud-native Deployments

Benefits

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match
• Plus, we have a lucrative employee referral program and an employee recognition culture

AI & Hiring Disclosure

• We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight. All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits. If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out. Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.