Senior Engineer, Generative AI

Hearst Communications, Inc.; New York (NY); On-site; USD 175,000 - 200,000; Full time

Job summary

A leading company is looking for a Senior Generative AI Engineer to drive innovation in AI applications. This role involves the design and development of generative AI applications, utilizing state-of-the-art technologies to maximize business value, while collaborating with product teams. Ideal candidates will have extensive software development experience and a strong command of AI frameworks, ensuring the delivery of high-quality, impactful solutions.

Benefits

Medical, dental, and vision insurance

401(k) plan

Paid holidays and time off

Employee assistance programs

Qualifications

• 5+ years of software development experience.
• Strong proficiency in Python and JavaScript.
• Experience with modern Generative AI development frameworks.

Responsibilities

• Design and develop Generative AI applications and features.
• Collaborate with product teams to implement AI-driven solutions.
• Build and maintain AI pipelines using vector databases.

Skills

Python

JavaScript

Software Development

Problem Solving

Project Management

Communication

Tools

Docker

LangChain

Vector DBs

LLM APIs

Job description

We are seeking a dynamic and innovative Senior Generative AI Engineer to join our team, reporting directly to Hearst's Chief Product & AI Strategist. This role sits at the intersection of software engineering and artificial intelligence, focusing on building and deploying cutting-edge AI applications that drive business value.

Key Responsibilities:

• Design and develop Generative AI applications and features using modern LLM APIs and open-source models
• Create and optimize multi-agent systems using frameworks like LangChain and advanced RAG architectures
• Build robust systems that combine traditional software engineering with Generative AI capabilities
• Implement and maintain AI pipelines using vector databases and retrieval systems
• Develop evaluation frameworks to assess Generative AI application performance and reliability
• Collaborate with product teams to identify and implement AI-driven solutions

Requirements:

• 5+ years of software development experience with strong proficiency in Python and JavaScript
• Familiarity with containerized development (e.g. Docker) and deployment
• Exposure to one or more modern JS frameworks like React/Next/Node
• Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs)
• Demonstrated ability to work with LLM APIs (GPT-4, Claude, etc.)
• Familiarity the use of agentic software development tools like Cline and Cursor
• Strong understanding of prompt engineering and LLM capabilities
• A commitment to automated testing and software development best practices
• Strong problem solving and project management skills and ability to work with ambiguous requirements
• Excellent communication skills to explain AI capabilities and limitations to stakeholders

Advanced Skills (Nice to Have)

• Experience with complex RAG architectures incorporating graph databases
• Familiarity with agent orchestration frameworks like LangGraph or CrewAI
• Experience with LLM evaluation and monitoring tools like LangSmith
• Knowledge of advanced retrieval techniques beyond semantic search

In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in New York City. The reasonable estimate, if hired in New York City, is $175,000 - $200,000. Please note this information is specific to those hired in New York City. If this role is open to candidates outside of New York City, the salary range would be aligned to that specific location. A final decision on the successful candidate’s starting salary will be based on a number of permissible, non-discriminatory factors, including but not limited to skills and experience, training, certifications, and education. Hearst provides a competitive benefits package, including medical, dental, vision, disability and life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.