About the role

What will you do at Counter Technology, Inc. (dba CTI Consulting)?

Example Use Cases

Representative initiatives may include developing AI-powered capabilities that improve advisor effectiveness and client engagement, such as:

Automated meeting preparation and research

Intelligent call summarization and insight generation

Automated follow-up and workflow orchestration

Knowledge retrieval and recommendation systems

AI-assisted decision support and productivity tools

Workflow automation leveraging enterprise data sources and communication channels

The Skills You Bring

Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years of experience.

Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.

Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, LangChain, LangGraph).

Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.

Strong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.

Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.

Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.

Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.

Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.

Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production.

Ultimately, I need a hands-on Principal Engineer who combines GenAI/LLM expertise, modern data engineering, and cloud architecture skills to identify business problems and deliver production AI solutions that improve advisor productivity, automate workflows, and create measurable business outcomes.

Which skills does this role require?

Artificial IntelligenceLarge Language ModelsPythonTypeScriptNode.jsReactNext.jsAWSAzureGoogle CloudKubernetesVector DatabasesRetrieval-Augmented GenerationSoftware ArchitectureDevOpsDistributed SystemsAI EngineerLLMGenerative AIRAGInfrastructure-as-CodeFinancial ServicesAgent FrameworksLangChainLangGraphSemantic SearchEnterprise DataWorkflow AutomationCloud-nativeContainersAPIProduction-gradeJavaScriptGCPLLMs

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