Technical Lead – Forward Deployment Engineer AI

Theron Solutions; Edison (NJ); Vor Ort; USD 140.000 - 210.000; Vollzeit

Zusammenfassung

Theron Solutions is seeking a technologist to lead design and delivery of AI-enabled backend solutions in a cloud environment. You will own end-to-end implementation, prototype through production, and guide engineers across software, AI, data, cloud and platform technologies.

Responsibilities include designing APIs, data flows, and integration patterns; mentoring junior developers; and communicating trade-offs and risks to stakeholders. Strong debugging and cloud skills are essential.

Qualifikationen

• Experience developing backend services, APIs and distributed applications.
• Experience processing and transforming structured and/or unstructured data.
• Hands-on with at least one major cloud platform (AWS/Azure/Google Cloud).
• Experience with Git, testing frameworks, code reviews and modern software engineering practices.
• Strong debugging and troubleshooting capabilities.
• Exposure to LLMs and AI application development and integration.

Aufgaben

• Lead technical discovery sessions to understand customer problems and translate them into scalable solutions.
• Own end-to-end technical implementation from discovery through production deployment.
• Design and develop application services, APIs, integrations and AI-enabled solutions.
• Mentor junior engineers and communicate decisions to stakeholders.
• Review code for quality, security, and maintainability.

Kenntnisse

Technical leadership

API development

Distributed systems

Cloud platforms

LLM integration

Prompt engineering

Vector databases

Git and code reviews

Ausbildung

Bachelor's or master's in CS

Tools

pgvector

Pinecone

Weaviate

Milvus

Jobbeschreibung

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.

EOE:

Our client is an Equal Opportunity Employer, committed to a workplace free from discrimination and harassment. Employment decisions are based on business needs, job requirements, and individual qualifications without regard to race, color, religion, gender, age, disability, sexual orientation, gender identity, marital status, military service, genetic information, or any other status protected by law.