Brillio

AI Engineer - R01565292

Brillio$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong software engineering fundamentals with backend or full-stack development experience
  • Hands-on experience with LLMs and modern AI applications
  • Experience with building AI agents and autonomous workflows
  • Familiarity with AI orchestration frameworks and RAG architectures
  • Proficient in cloud platforms such as Google Cloud, AWS, or Azure
  • Strong communication skills for collaboration with technical and non-technical stakeholders
  • Builder mindset with a focus on ownership and execution

Responsibilities

  • Design and develop AI agents and multi-agent systems using contemporary LLM frameworks
  • Create agentic workflows for various business functions like Finance and Operations
  • Develop production-ready applications leveraging LLMs and orchestration frameworks
  • Integrate AI solutions with enterprise tools and databases
  • Evaluate foundation models for specific use cases based on requirements
  • Collaborate with stakeholders to identify business needs and rapidly prototype solutions
  • Establish best practices for agent architecture and AI engineering standards

Benefits

  • Flexible work environment and potential remote work options
  • Opportunities for professional growth and skill development
  • Access to cutting-edge AI technologies and tools
  • Collaborative and innovative company culture
  • Involvement in impactful projects that solve real business challenges
Full Job Description
AI/ML Engineer
Primary Skills
  • Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Specialization
  • Data Science Advanced: Data Specialist
Job requirements

AI Engineer - Agentic AI Platforms & Applications

About the Role

We are looking for highly motivated AI Engineers to design, build, and deploy next-generation AI agents and autonomous workflows that solve real business problems. You will work closely with product, operations, and business teams to create production-grade agentic applications powered by LLMs, enterprise data, and modern AI orchestration frameworks. This role is ideal for engineers who enjoy rapid experimentation, solving ambiguous problems, and turning AI prototypes into scalable enterprise solutions.

What You'll Do
  • Design, build, and deploy AI agents and multi-agent systems using modern LLM frameworks and enterprise AI platforms
  • Develop agentic workflows for business functions such as Finance, Legal, Operations, Sales, Support, and Growth
  • Build production-ready applications using LLMs, RAG pipelines, tool calling, memory systems, and orchestration frameworks
  • Integrate AI agents with enterprise platforms such as Google Workspace, Slack, CRM systems, internal APIs, databases, and knowledge repositories
  • Evaluate and leverage foundation models across providers (Gemini, OpenAI, Anthropic, open-source models, etc.) based on use case requirements
  • Work closely with business stakeholders to identify opportunities, prototype solutions rapidly, and iterate based on user feedback
  • Create reusable agent frameworks, prompt libraries, evaluation pipelines, and deployment patterns
  • Implement observability, guardrails, evaluation, and monitoring for AI applications in production
  • Optimize agent performance for latency, accuracy, reliability, and cost
  • Contribute to internal best practices around agent architecture, prompting, RAG, and AI engineering standards
  • Stay current with emerging trends in autonomous agents, AI infrastructure, and enterprise AI adoption What We're Looking For
  • Strong software engineering fundamentals with experience building scalable backend or full-stack applications
  • Hands-on experience with LLMs and modern AI application development
  • Experience building AI agents, autonomous workflows, or agentic applications
  • Familiarity with frameworks such as LangChain, LangGraph, CrewAI, Google ADK, AutoGen, Semantic Kernel, or similar
  • Strong understanding of: o RAG architectures o Prompt engineering o Vector databases o Tool/function calling o AI workflow orchestration o Context and memory management
  • Experience working with cloud platforms such as Google Cloud, AWS, or Azure
  • Experience with Vertex AI, Gemini Enterprise, OpenAI APIs, or similar enterprise AI platforms is a strong plus
  • Familiarity with APIs, microservices, event-driven systems, and enterprise integrations
  • Comfortable working in ambiguous environments with evolving requirements and rapid experimentation cycles
  • Strong communication skills and ability to collaborate with both technical and non-technical stakeholders
  • Builder mindset with strong ownership and execution capabilities

Preferred Qualifications
  • Experience deploying AI applications into production environments
  • Familiarity with AI evaluation frameworks, observability, and guardrails
  • Experience with Google Workspace APIs, Slack integrations, or enterprise automation tools
  • Knowledge of fine-tuning, model optimization, or open-source LLM deployment
  • Exposure to multi-agent coordination and autonomous decision-making systems
  • Experience working in fast-paced startup or innovation environments

Experience
  • 4-8 years of software engineering experience
  • 2+ years of hands-on experience building AI/LLM-powered applications preferred Nice to Have
  • Experience with Python-based AI ecosystems
  • Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or Vertex AI Vector Search
  • Experience with Kubernetes, Docker, CI/CD, and cloud-native deployments
  • Contributions to open-source AI projects or experimentation with emerging agentic frameworks

About Brillio

Brillio is a technology consulting and technology services company focused on the implementation of digital technologies.

Brillio Careers

There has never been a more opportune time to join Brillio—the forefront of innovation and digital transformation.

Opportunities Await

Brillio offers a plethora of job opportunities aimed at harnessing the potential of professionals eager to drive change. With a focus on technology and consulting, Brillio is not just a company; it's a vibrant ecosystem conducive to growth and professional development.

Transform Your Career

Embark on a journey of growth and leadership at Brillio. This is where industry expertise meets digital innovation to transform businesses and industries. Brillio stands out in the marketplace, providing a unique blend of technology solutions and strategic insights.

Join a Diverse and Inclusive Team

Brillio is committed to diversity and inclusion, ensuring a wide range of perspectives that fuel innovation and creative solutions. The team at Brillio, enriched with diverse skills and backgrounds, collaborates to deliver excellence and drive success.

Internship Programs and Employment

Kickstart your career with Brillio's internship programs, designed to offer hands-on experience and a gateway to full-time employment. Brillio is dedicated to nurturing young talent, providing them with the necessary tools and guidance to excel.

Innovate and Lead

At Brillio, every team member is an innovator and leader. The company fosters a culture of continuous learning and improvement, encouraging each individual to push boundaries and contribute to groundbreaking projects.

Networking and Professional Development

Networking at Brillio opens doors to influential connections, mentorship, and collaborative opportunities. Brillio supports career advancement through professional development, offering training in leadership, diversity, and specific job skills.

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Learn more about Brillio
Industry
Founded
2014

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