Generative AI Engineer

Wise Skulls; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Wise Skulls LLC seeks a Senior Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications at scale. You will own features end-to-end, delivering high-quality, reusable code across the org.

Collaborate with PMs, designers, and engineers as an IC to drive business value through AI services. The role emphasizes integration with leading cloud AI services, secure scalable systems, and strong emphasis on observability and performance in production

Qualifications

• 5-7 years of professional software engineering experience with at least 3 years building AI/ML software products.
• Bachelor’s degree in Computer Science or a related field (Master’s degree preferred).
• Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance).
• Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration and prompt engineering.

Responsibilities

• Design, build, and ship production-grade Generative and Agentic AI features and applications.
• Own features end-to-end from design through deployment and operation.
• Build reusable components and utilities (RAG blocks, agent scaffolding, evaluation harnesses, prompt utilities).
• Build multi-agent systems using LangChain, LangGraph, Claude Agent SDK, Google ADK.

Skills

Python

LLM integration

Agent frameworks

Cloud platforms

RESTful APIs

Distributed systems

System design

Education

Bachelor's degree in CS/related field

Master's degree preferred

Tools

LangChain

LangGraph

Claude Agent SDK

Google Vertex AI

Azure OpenAI

AWS Bedrock

Pinecone

Weaviate

pgvector

OpenSearch

Docker

Kubernetes

Job description

Visa: US Citizen, Greencard and Independent Visa holder (H4 EAD, L2S and EAD)

We are looking for a Senior Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the organization. This role is focused on building AI applications and services at scale. You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services.You will work alongside product managers, designers, and other engineers as an individual contributor. You are expected to own features end-to-end, and to deliver high- quality, reusable code that scales beyond a single use case.

Key Responsibilities

Software Engineering and Execution

• Design, build, and ship production-grade Generative and Agentic AI features and applications


• Own features end-to-end from technical design through implementation, testing, deployment and operation


• Build reusable, well-abstracted components and shared utilities (e.g., RAG building blocks, agent scaffolding, evaluation harnesses, prompt utilities) to enable faster delivery of future Generative and Agentic AI products


• Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK


• Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock


• Build Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking


• Build clean, well-tested RESTful and/or gRPC APIs with a focus on reliability, security, and performance


• Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications


• Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services


• Participate actively in code reviews and design discussions, sharing knowledge with peers

Required Qualifications

• 5-7 years of professional software engineering experience with at least 3 years of experience building AI/ML software products


• Bachelor’s degree in Computer Science or a related field (Master’s degree preferred)


• Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)


• Hands-on experience building and shipping Generative and Agentic AI applications,


• including LLM integration, prompt engineering, and/or agentic workflows


• Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock


• Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)


• Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure


• Solid understanding of API design, distributed systems, and cloud-native architecture


• Track record of taking systems from design through production deployment and operation

Preferred Qualifications

• Experience with containerization and orchestration (Docker, Kubernetes)


• Knowledge of Generative AI Risk Management frameworks (NIST RFM)


• Experience supporting developer platforms or internal tooling