Member of Technical Staff (AI/ML)

Enam, Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Enam, Inc. is seeking an AI-focused software engineer to design and deploy AI-powered solutions in a fast-paced environment. You will work with product, operations, and engineering to ship real-world AI products, leveraging LLMs, agents, and automation.

The role emphasizes turning data and workflows into scalable systems with attention to latency, cost, and reliability, while balancing innovation with practical impact.

Qualifications

• Hands-on experience designing and shipping AI-powered software or ML products.
• Strong track record turning research into production systems with measurable impact.

Responsibilities

• Partner with product, operations, and engineering to translate workflows into shipped AI products.
• Design, prototype, evaluate, deploy, and iterate on AI systems using LLMs, agents, retrieval, and automation.

Skills

Python

Go

TypeScript

Cloud environments

ML frameworks

Vector databases

Orchestration tools

LLM APIs

Education

Advanced degree in CS/ML

Job description

What you will do

• Partner with product, operations, and engineering teams to understand business workflows, identify where AI can create leverage, and turn ambiguous problems into shipped products.
• Design, prototype, evaluate, deploy, and iterate on AI systems using LLMs, agents, retrieval, classification, extraction, prediction, automation, and other ML techniques where appropriate.
• Turn large-scale historical data, operational data, and continuously generated service data into production systems that improve decisions, automate work, reduce cost, and increase throughput.
• Build reliable AI-powered products and internal platforms with attention to latency, cost, accuracy, observability, reliability, UX, compliance, and operational constraints.
• Work directly with messy, incomplete, and legacy data, getting close to the underlying workflows and edge cases.
• Make pragmatic technical decisions that balance frontier capability with speed, simplicity, and measurable business impact.

What we look for

• AI-native development practice, including hands‑on experience orchestrating coding agents like Codex or Claude Code to plan, write, and ship production code.
• Strong experience building and shipping software, AI systems, or ML-powered products that created measurable value for users, customers, operations, or the business.
• Deep familiarity with modern AI patterns, including LLMs, retrieval-augmented generation, agents, tool use, model evaluation, prompt engineering, fine-tuning, structured outputs, and production AI system design.
• Strong product instincts, including the ability to identify where AI is useful, where it is not, and how to make tradeoffs across accuracy, cost, latency, reliability, and user experience.
• Strong programming and production engineering ability, especially in Python. Experience with Go, TypeScript, cloud environments, ML frameworks, vector databases, orchestration tools, or modern LLM APIs is a plus.
• Evidence that you can turn technical depth into real-world outcomes. Advanced degrees, publications, or research experience are welcome, but shipped systems, user adoption, workflow lift, cost reduction, or revenue impact matter most.