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About the Role

FDE Team is hiring a highly accomplished Member of Technical Staff (MTS) to design, build, and scale sophisticated software and AI systems. This is a deeply hands-on engineering role for someone with strong foundations in backend engineering, distributed systems, data infrastructure, and production AI. You will work on technically challenging problems where reliability, scalability, security, and engineering quality matter. You will take ownership across the complete engineering lifecycle—from understanding an ambiguous problem and defining architecture to prototyping, implementation, deployment, observability, and continuous improvement. We are looking for an engineer who can operate with significant autonomy, make strong technical decisions, and remain deeply involved in writing and reviewing production code.

Responsibilities

Design, build, and operate scalable production software and AI systems.
Own complex engineering initiatives from 0→1 through production and scale.
Architect backend services, APIs, distributed systems, data pipelines, and platform capabilities.
Build production applications using Python and other modern programming languages.
Develop and integrate LLM, RAG, agentic AI, retrieval, and intelligent workflow capabilities.
Design systems for reliability, scalability, security, observability, and fault tolerance.
Work with structured and unstructured data across modern databases, retrieval systems, and cloud infrastructure.
Build evaluation, monitoring, testing, and quality frameworks for production AI systems.
Investigate difficult performance, reliability, data, and infrastructure problems.
Make architectural decisions while balancing speed, technical quality, and long-term maintainability.
Rapidly prototype new capabilities and turn successful experiments into reliable production systems.
Work closely with other senior engineers, product stakeholders, and customer engineering teams when required.
Mentor engineers and help establish strong engineering standards without moving away from hands-on development.

Requirements

6+ years of professional software engineering experience, with significant ownership of production systems.
Strong hands-on programming experience with Python, Go, Java, C++, TypeScript, or similar languages.
Deep understanding of backend engineering, distributed systems, APIs, databases, and system design.
Experience architecting and operating scalable, resilient production systems.
Hands-on experience with AI/ML, LLMs, Generative AI, RAG, agentic systems, or production AI applications.
Strong experience with cloud platforms such as AWS, Azure, or GCP.
Experience with modern infrastructure including containers, Kubernetes, CI/CD, observability, and production monitoring.
Strong understanding of data structures, algorithms, concurrency, performance, and software architecture.
Ability to independently navigate ambiguous technical problems and make sound engineering decisions.
Experience taking products or major technical capabilities from prototype to production.
Excellent debugging, analytical, and systems-thinking abilities.
Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, AI/ML, or a related technical discipline, or equivalent practical experience.
Previous experience as a Staff Engineer, Principal Engineer, Member of Technical Staff, Founding Engineer, or early-stage engineer.
Experience building products or platforms in a startup / 0→1 environment.
Experience with high-scale distributed systems, event-driven architectures, real-time data processing, or infrastructure platforms.
Production experience with LLM orchestration, RAG, AI agents, model evaluation, embeddings, vector search, knowledge graphs, or multimodal AI.
Experience building secure systems handling sensitive or regulated data.
Experience at a high-growth technology, AI, or product engineering organization.
Demonstrated technical leadership while remaining a strong individual contributor.

Skills

Python
Go
Java
C++
TypeScript
Backend Engineering
Distributed Systems
APIs
Databases
System Design
Cloud Platforms (AWS, Azure, GCP)
Containers
Kubernetes
CI/CD
Observability
Production Monitoring
Data Structures
Algorithms
Concurrency
Performance
Software Architecture
Debugging
Analytical Skills
Systems Thinking
AI/ML
LLMs
Generative AI
RAG
Agentic Systems
Production AI Applications
LLM Orchestration
AI Agents
Model Evaluation
Embeddings
Vector Search
Knowledge Graphs
Multimodal AI
Secure Systems

Location

San Francisco, California

Work Type

Full-Time
Onsite

Experience Level

6+ years of professional software engineering experience
Previous experience as a Staff Engineer, Principal Engineer, Member of Technical Staff, Founding Engineer, or early-stage engineer.

Education Level

Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, AI/ML, or a related technical discipline, or equivalent practical experience.

About the Company

FDE Team builds and deploys high-performing Forward Deployed Engineering teams that work directly within customer environments—across their systems, technology stacks, codebases, and workflows—to solve complex engineering challenges and deliver production-ready solutions.
Our engineers work across AI, core engineering, enterprise integrations, cloud, data, automation, and digital transformation, supporting both innovative technology companies and large enterprise organizations.
At FDE Team, engineers don't simply advise—they design, build, integrate, deploy, and own outcomes.
FDE Team is backed by SA Technologies, bringing global technology delivery expertise and established enterprise experience across North America, Europe, and Asia Pacific.