Full-Stack Software Engineer — LLM Tooling & Data Applications Job at Signify Technology

Senior Software Engineer (Full-Stack)

We are seeking a highly skilled Senior Full-Stack Software Engineer to bring tec...

Location

United States

Salary:

146000.00 - 170000.00 USD / Year

GoodLeap

Expiration Date

Until further notice

Requirements

5+ years of full-stack software development experience using Node.js, React, TypeScript, and REST APIs
experience with state management (Redux, XState, Nanostores a plus)
at least 1+ year working with AI/ML solutions or LLM
familiar with implementing and maintaining CI/CD pipelines
familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools
deep understanding of architecture and best practices, including RESTful APIs, databases, secure coding, and responsive design
experienced with AWS architecture, including Lambda, ECS, S3, DynamoDB and Step Functions
familiarity with designing and developing application layers that interface with large language models (LLMs) or machine learning (ML) systems
experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies
build tools and services to help other team members experiment and ship AI-enhanced features

Job Responsibility

Lead the design and development of scalable, secure applications across the stack
design and build architecture that supports AI/ML-powered features
drive initiatives end-to-end from ideation and planning to execution
collaborate with product and engineering leaders to align solutions with business objectives
ensure compliance with security best practices and data privacy regulations
mentor mid-level and junior engineers
evaluate and implement new technologies and tools
communicate clearly with stakeholders, product managers and cross-functional teams

What we offer

May be eligible for a bonus

Fulltime

Senior Software Engineer, Full-Stack

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI pla...

Location

United States , San Francisco; New York; Seattle

Salary:

216200.00 - 270250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of full-time engineering experience, post-graduation
Strong experience developing full-stack applications using React, TypeScript, and Python
Experience scaling or shipping products at high-growth startups
Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)
Proficiency with SQL and modern API development
Experience with Kubernetes, containerization, and microservice architectures
Experience working with at least one major cloud provider (AWS, GCP, or Azure)

Job Responsibility

Own major full-stack product areas, driving features from design through production deployment
Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness
Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components
Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences
Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers
Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP
Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity grant
additional benefits such as a commuter stipend

Fulltime

Full-Stack Engineer (Data)

We are seeking a motivated and talented Full-Stack Engineer with a strong backgr...

Location

United Kingdom

Salary:

Not provided

Spectrum Life

Expiration Date

Until further notice

Requirements

Proven experience as a Full-Stack Engineer, with a strong portfolio of backend-focused or AI-driven projects
Expert proficiency in TypeScript and Node.js, with a deep understanding of modern JavaScript (ES6+), asynchronous programming patterns, and building scalable backend APIs and services
Extensive, hands-on experience architecting and building solutions on the AWS ecosystem. This includes core serverless services (Lambda, API Gateway, S3, EventBridge), databases (RDS, DynamoDB), security (IAM), and infrastructure as code tools (AWS CDK, CloudFormation, or Terraform)
Strong experience in database design and management, with proficiency in both relational (e.g., PostgreSQL) and NoSQL databases. You should be comfortable with schema design, query optimization, and data modeling
A solid understanding of Generative AI concepts and practical experience working with LLMs
Comfortable with the principles of LLM design, including prompt engineering and an understanding of model evaluation techniques
A solid understanding of the full software development lifecycle, including testing, monitoring, and deployment

Job Responsibility

Architectural Ownership & Design: Lead the technical design and architectural decisions for our core AI product. You will take ownership of the entire LLM lifecycle, from model selection and evaluation to deployment and monitoring, ensuring a clear and scalable design
LLM & Backend Engineering: Develop clean, secure, and performant serverless backend services using AWS Lambda and the wider AWS ecosystem
Design, build, and maintain the scaffolding for invoking Large Language Models (LLMs) via services like AWS Bedrock
Compare and evaluate different LLMs to determine the best fit for our use cases, establishing clear metrics and evaluation frameworks
Implement and manage robust data processing and storage solutions to support our AI features
Infrastructure & Best Practices: Design and deploy cloud infrastructure using modern best practices (e.g., Infrastructure as Code)
Implement comprehensive testing, robust exception handling, and application monitoring to ensure the high availability and reliability of our AI services
Take charge of your local development environment and see features through to production, collaborating with the wider team to ensure seamless product integration
Champion and maintain high standards for code quality, scalability, and maintainability

What we offer

Full time permanent contract
Competitive salary (Dependent on experience)
In-office, remote or hybrid working options
25 days annual leave
24/7 EAP and a wide range of health and wellbeing supports
Extensive list of employee perks and benefits

Fulltime

Software Engineer, Full Stack – Scale GP

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI pla...

Location

United States , San Francisco; New York

Salary:

179400.00 - 224250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

2+ years of full-time engineering experience, post-graduation working in a production environment
Strong experience developing full-stack applications using React, TypeScript, and Python
Experience scaling or shipping products at high-growth startups
Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling
Proficiency with SQL and modern API development
Experience with Kubernetes, containerization, and microservice architectures
Experience working with at least one major cloud provider (AWS, GCP, or Azure)

Job Responsibility

Own major full-stack product areas, driving features from design through production deployment
Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness
Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components
Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences
Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers
Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP
Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity grant
commuter stipend

Fulltime