4 months ago
Remote, United StatesSenior
Responsibilities
- Own end-to-end delivery quality for a major engagement, workstream, or solution area.
- Translate ambiguous client needs into execution plans, technical milestones, and shipped outcomes.
- Lead solution architecture and technical decision-making while balancing speed, quality, scope, maintainability, cost, latency, and client value.
- Design and ship production AI/ML solutions, including LLM integrations, fine-tuning, prompt engineering, retrieval, and evaluation pipelines.
- Review critical technical work and turn successful solutions into reusable patterns.
- Act as the senior technical voice with clients, managing expectations and communicating risks, tradeoffs, and progress.
- Identify and resolve technical, delivery, scope, timeline, and client-alignment risks, escalating with context and recommendations when needed.
- Mentor less experienced FDEs and contribute to interviews, onboarding, and technical standards.
Requirements
- 5+ years of software engineering experience, including significant backend or full-stack depth.
- Demonstrated ability to independently own complex, ambiguous technical work from definition through production.
- Strong Python programming skills and fluency in at least one additional language such as JavaScript, TypeScript, or Go.
- Production experience delivering real-world ML/AI systems rather than prototypes.
- Deep comfort with AWS, GCP, or Azure, infrastructure-as-code, and CI/CD workflows.
- Excellent client communication, architectural judgment, and risk-escalation skills.
- Preferred qualifications include production experience with LLMs such as Anthropic, OpenAI, or Cohere; vector search; retrieval-augmented generation; or agentic systems.
- Preferred qualifications include consulting, professional services, solutions architecture, or forward-deployed engineering experience; MLOps tooling familiarity; enterprise security, privacy, and compliance knowledge; and mentoring experience.
Benefits
- Competitive compensation consisting of salary and annual bonus, plus equity options.
- Fully remote work.
- Work-from-home stipend and monthly lifestyle stipend.
- Senior individual-contributor track with technical leadership and no forced move into people management.
- Autonomy to solve difficult problems across industries and domains.
- Collaborative, mission-driven team focused on real-world AI impact.
Tech Stack
Categories
Forward Deployed
About Eliza
Eliza is a New York–based technology services firm that designs and delivers enterprise AI solutions. The company helps organizations adopt ChatGPT Enterprise, build custom LLM integrations and agents, and implement predictive analytics and intelligent automation. It operates on a consulting and implementation model, partnering across industries to move prototypes into production; privately held with a headquarters in New York City.