Senior Forward Deployed Engineer

About the role

Eliza is a premier partner of OpenAI, dedicated to creating and implementing generative AI and predictive analytics solutions for enterprise clients. In this capacity, you will own the technical execution of complex projects from initial discovery through final deployment and optimization. You will act as a critical bridge between cutting edge AI capabilities and specific client business objectives, ensuring solutions are not only innovative but also robust and scalable. This role demands a high degree of autonomy as you navigate intricate technical landscapes to deliver measurable results. You will collaborate intimately with client stakeholders to translate abstract requirements into concrete technical specifications. The position is tailored for a self motivated individual who thrives on solving difficult problems and taking full responsibility for project outcomes. Success in this role will be defined by your ability to turn ambiguous ideas into production grade AI implementations that drive client value.

Key facts

What you'll do

Orchestrate the design and implementation of end to end AI and machine learning solutions that address specific enterprise client needs.

Translate ambiguous client problems into well defined technical hypotheses and success metrics that guide the development lifecycle.

Architect and deploy scalable software systems utilizing Python, ensuring clean code, maintainability, and alignment with cloud native best practices.

Integrate vector search technologies and retrieval augmented generation techniques to build intelligent applications capable of handling complex data sets.

Configure and manage CI/CD pipelines and infrastructure as code to automate the deployment of machine learning models and application updates.

Conduct rigorous testing and debugging of LLM orchestration workflows to ensure reliability, performance, and security in production environments.

Collaborate with data scientists and product teams to implement MLOps frameworks that streamline the model development and deployment lifecycle.

Serve as a technical consultant for client teams, explaining trade offs and guiding them through the adoption of new AI powered tools and processes.

Monitor deployed systems to identify bottlenecks and opportunities for optimization, ensuring solutions remain efficient and cost effective.

Mentor junior engineers by providing code reviews and technical guidance, fostering a culture of quality and continuous improvement.

Maintain a deep understanding of enterprise level security and privacy protocols to ensure all solutions comply with relevant industry standards.

Evaluate emerging tools and technologies to determine their applicability for solving client challenges and enhancing Eliza's service offerings.

Document all technical processes and architectural decisions to ensure clarity and continuity throughout the project lifecycle.

Act as an owner of the product feedback loop, using insights from production deployments to inform future iterations and new feature development.

Requirements

You possess a minimum of 5 years of professional experience in software engineering, with a focus on backend or full-stack development.

You have a proven track record of transforming ambiguous challenges into well defined solutions that lead to successful production deployments.

You demonstrate strong programming skills in Python, along with proficiency in at least one additional language such as Go, TypeScript, or JavaScript.

You have demonstrated experience in deploying real world machine learning or AI systems, showcasing an understanding of practical applications and limitations.

You are familiar with major cloud platforms, including AWS, GCP, or Azure, with hands on experience in CI/CD practices and infrastructure as code methodologies.

You communicate excellently, with the ability to manage client expectations and convey technical trade offs in an understandable manner.

You are able to obtain and maintain United States government security clearance if required for specific client projects.

You are eligible to work in the United States without sponsorship, meaning you must already have the right to work under US law.

You are authorized to work in the United States for the duration of the contract without requiring sponsorship from the client or Eliza.

You understand that this role requires interaction with enterprise level technology and clients, demanding a high level of professionalism and discretion.

Nice to have

Experience working with large language models, vector search technologies, retrieval augmented generation, or agentic systems in a production environment.

A background in professional services, consulting, or roles that involve forward deployed engineering practices.

Knowledge of MLOps tools such as Weights and Biases, MLflow, or SageMaker, enhancing the development and deployment of machine learning models.

Understanding of enterprise level data privacy, security protocols, and compliance requirements, ensuring that solutions meet industry standards.

Experience in mentoring and guiding team members through influence rather than formal authority, fostering a collaborative team environment.

Practical notes

This position is entirely remote, allowing for flexibility in work arrangements.

Employees benefit from a monthly lifestyle stipend to support personal well-being and a home office setup stipend to ensure a productive work environment.

The role is designed for a dedicated senior individual contributor career path, providing opportunities for professional growth without the necessity of taking on people management responsibilities.