AI Forward Deployment Tech Lead

Theron Solutions; Santa Clara (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Theron Solutions in Santa Clara, CA seeks a hands-on technical leader to own end-to-end AI-enabled backend solutions, APIs and integrations. You’ll mentor engineers, drive prototypes to production, and guide architecture across cloud platforms with a focus on scalable, secure systems.

You will work closely with customers to translate requirements, perform discovery sessions, review code, and ensure high quality deliverables in fast-paced engagements.

Qualifications

• Lead technical discovery sessions to understand customer business problems, existing technology landscape, data, applications and constraints.
• Translate customer requirements and business problems into scalable technical solutions.
• Own the end-to-end technical implementation from discovery and prototyping through production deployment.
• Design and develop application services, APIs, integrations and AI-enabled solutions.
• Remain hands-on with coding, debugging, code reviews and technical troubleshooting.
• Lead rapid prototyping and Proof-of-Concept development to validate solution approaches.
• Define application architecture, APIs, data flows, integration patterns and deployment approaches.
• Guide engineers across software, AI, data, cloud and platform technologies.
• Review code and ensure engineering quality, security, scalability and maintainability.
• Diagnose complex application, data, integration, infrastructure and production issues.
• Drive solutions from prototype to production-ready implementation.
• Mentor junior and graduate FDEs and provide technical support and guidance.
• Communicate technical decisions, trade-offs, risks and recommendations clearly to customer stakeholders.
• Bachelor's or master's degree in computer science or related field.
• Experience developing backend services, APIs, and distributed applications.
• Experience processing and transforming structured and /or unstructured data.
• Hands-on experience with at least one major cloud platforms: AWS, Microsoft Azure, or Google Cloud.
• Experience in Git, testing frameworks, code reviews and modern software engineering practices.
• Strong debugging and troubleshooting capabilities.
• Hands-on exposure to:
• oLarge Language Models and Generative AI application development.
• oLLM APIs and model integration.
• oPrompt engineering and structured outputs.
• oEmbeddings and vector search/vector databases.
• oU nderstanding of AI application performance, security and cost considerations.
• oIntegration of AI capabilities into enterprise applications.
• Understanding of production monitoring, logging and observability.
• Good to Have
• Experience delivering solutions in customer-facing environments.
• Experience leading small Agile engineering teams.
• Hands-on experience with enterprise GenAI implementations.
• Experience with vector databases such as pgvector, Pinecone, Weaviate, Milivus or similar technologies.
• Experience with frameworks for building AI applications and agents.
• Cloud and/or AI certifications.

Responsibilities

• Lead technical discovery sessions to understand customer business problems, existing technology landscape, data, applications and constraints.
• Translate customer requirements and business problems into scalable technical solutions.
• Own the end-to-end technical implementation from discovery and prototyping through production deployment.
• Design and develop application services, APIs, integrations and AI-enabled solutions.
• Remain hands-on with coding, debugging, code reviews and technical troubleshooting.
• Lead rapid prototyping and Proof-of-Concept development to validate solution approaches.
• Define application architecture, APIs, data flows, integration patterns and deployment approaches.
• Guide engineers across software, AI, data, cloud and platform technologies.
• Review code and ensure engineering quality, security, scalability and maintainability.
• Diagnose complex application, data, integration, infrastructure and production issues.
• Drive solutions from prototype to production-ready implementation.
• Mentor junior and graduate FDEs and provide technical support and guidance.
• Communicate technical decisions, trade-offs, risks and recommendations clearly to customer stakeholders.

Skills

Technical leadership

Backend services

APIs

AI-enabled solutions

Cloud platforms

Code reviews

Debugging

Mentoring

Prompt engineering

LLMs

Tools

Git

Testing frameworks

LLM APIs

Vector databases

Containers/CICD

Job description

Theron Solutions in Santa Clara, CA seeks a hands-on technical leader to own end-to-end AI-enabled backend solutions, APIs and integrations. You’ll mentor engineers, drive prototypes to production, and guide architecture across cloud platforms with a focus on scalable, secure systems.

You will work closely with customers to translate requirements, perform discovery sessions, review code, and ensure high quality deliverables in fast-paced engagements.