Senior Generative AI Engineer

Inizio Partners Corp; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

eBSI Export Academy is seeking a Senior Generative AI Engineer to design, build, and ship production-grade AI features at scale. You will develop robust, secure AI services that integrate with cloud AI APIs to deliver real business value.

You will own end-to-end features from design through deployment, build reusable components, and contribute to multi-agent systems using LangChain, LangGraph, Claude Agent SDK, and other frameworks to accelerate delivery of AI products.

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 and prompt engineering.
• 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.

Responsibilities

• 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 to enable faster delivery of AI products.
• Build multi-agent systems using LangChain, LangGraph, Claude Agent SDK and Google ADK.
• Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Vertex AI, and AWS Bedrock.
• Build Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embeddings, and vector search.
• Develop clean, well-tested RESTful and/or gRPC APIs with 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 leveraging managed services.
• Participate in code reviews and design discussions, sharing knowledge with peers.

Skills

Python programming

Software engineering fundamentals

AI/ML software products

LLM integration

Prompt engineering

Agent-based workflows

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

LangChain

LangGraph

Claude Agent SDK

Google ADK

Pinecone

Weaviate

pgvector

Open Search

AlloyDB

Docker

Kubernetes

Job description

Senior Generative AI Engineer

Background

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.

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

Originally posted on Himalayas