The Role
Design, build, and deploy agentic AI applications and multi-agent systems using LLMs, RAG, tool-calling, memory and orchestration frameworks. Integrate agents with enterprise platforms, evaluate foundation models, implement observability and guardrails, and optimize production performance across latency, accuracy, reliability, and cost.
Summary Generated by Built In
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
- 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
- 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
- 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
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
Preferred Qualifications
Experience
Skills Required
- 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 agent/LLM frameworks such as LangChain, LangGraph, CrewAI, Google ADK, AutoGen, or Semantic Kernel.
- Strong understanding of RAG architectures, prompt engineering, vector databases, tool/function calling, workflow orchestration, and memory management.
- Experience working with cloud platforms such as Google Cloud, AWS, or Azure.
- Familiarity with APIs, microservices, event-driven systems, and enterprise integrations (CRM, internal APIs, databases).
- 4-8 years of software engineering experience.
- 2+ years hands-on experience building AI/LLM-powered applications.
- 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.
- Experience with 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.
- Strong communication skills and ability to collaborate with technical and non-technical stakeholders.
- Comfortable working in ambiguous environments with evolving requirements and rapid experimentation cycles.
- Builder mindset with strong ownership and execution capabilities.
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
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