Staff Software Engineer – Applied AI Job at Orbis Consultants (Dubai)

Staff Software Engineer (Applied AI)

This is a high-leverage opportunity to serve as a foundational technical leader ...

Location

United States , Seattle; New York City; Boston

Salary:

180000.00 - 240000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

8-12 years of experience in large-scale software engineering, with a proven track record in service-oriented architectures and large data systems
Demonstrated architectural experience designing and implementing highly observable, scalable distributed systems, including complex microservices and event-driven architectures
Hands-on experience in the full-stack productization of Applied AI/LLM features, specifically working with RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows
Cloud platform proficiency (preferably AWS), including hands-on experience with infrastructure design, deployment pipelines, and cost optimization
Expertise in designing and optimizing data-intensive applications, including deep database expertise (schema design, query optimization) and data consistency patterns
A strong leadership track record in driving technical direction for significant, cross-functional projects

Job Responsibility

Architect and build the foundational LLM architecture (RAG, Agents, Vector DBs) that powers high-impact product features across the organization
Design and deliver high-performance, distributed systems (data pipelines, APIs, microservices) that process healthcare data at scale and securely integrate LLM outputs into the user experience
Drive Proof-of-Concepts (POCs) and technical evaluation of new AI technologies to validate their product viability and scalability
Design and build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features
Ensure observability, monitoring, and operational excellence, championing security and regulatory compliance (HIPAA, SOC2)
Drive system design and technical planning for all critical projects, including large, complex, and cross-functional initiatives across the organization
Partner strategically with Product, Operations, and Design leadership, translating complex business requirements into technical strategies and influencing roadmap prioritization
Mentor engineers at Software Engineer I, II, and III levels, accelerating their technical growth and leadership development
Educate the organization on the capabilities, best practices, and limitations of using LLMs and applied AI within the healthcare domain
Define and implement engineering standards, patterns, and best practices that significantly improve scalability, reliability, and developer productivity across the product

What we offer

discretionary performance bonus
equity options
competitive benefits package

Fulltime

Staff Software Engineer, Applied AI

We are looking for a Staff Software Engineer to join our Applied AI team to help...

Location

United States; Canada , Remote

Salary:

154200.00 - 247700.00 USD; CAD / Year

Webflow

Expiration Date

Until further notice

Requirements

BA/BS Degree or equivalent experience (required)
7+ years of experience with a proven track record of shipping code to build consumer-facing web products
2+ years of experience building products that depend critically on AI/ML
Development experience with Node.js, React, TypeScript and a deep, foundational understanding of web technologies
Proficient with AI concepts and technologies, including large language models, fine tuning, vector databases and prompt engineering
Possess strong understanding of web development best practices and principles, including responsive design, web performance metrics and accessibility standards
Effectively communicate and collaborate with cross-functional teams
Can debug production issues across services and multiple levels of the stack

Job Responsibility

Lead architecture and design for features that integrate with large language models, diffusion models etc.
Consider the impact of technical decisions not just on your immediate team, but also across features and teams working on similar problems
Hold a high bar for technical quality of AI features at Webflow while taking a pragmatic approach to delivering value to users incrementally
Stay up-to-date on AI/ML advancements to assess their relevance for the organization's strategy
Collaborate with product engineering to identify and implement AI solutions that improve user experience and solve specific use cases
Develop and maintain user interfaces that integrate AI models and algorithms
Assist in developing and integrating third-party AI APIs into the product's architecture
Develop a deep understanding of our architecture and codebase while also learning about our product and the customers that use it
Build quality feedback tooling, including traditional software unit and integration tests as well as AI specific evaluations and quality measurements

What we offer

Ownership in what you help build. Every permanent Webflower receives equity (RSUs)
Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums
Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions
Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program
Wellness for the whole you. Access to mental health resources, therapy and coaching
Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally
Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts
Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program

Fulltime

Staff Software Engineer - Applied AI

Ironclad is accelerating its AI initiatives to transform how contracts are built...

Location

United States , San Francisco; Seattle; New York City; Chicago

Salary:

240000.00 - 270000.00 USD / Year

Ironclad

Expiration Date

Until further notice

Requirements

Deep professional experience with the core tech stack: TypeScript, Node.js, React, and PostgreSQL
Proven track record of building, deploying, and maintaining reliable, highly scalable software for SaaS applications
Extensive experience consuming LLMs via APIs (e.g., OpenAI, Gemini, or proprietary models) and integrating them successfully into production-facing features
Practical experience building and shipping accurate and successful AI features or products, such as chatbots, summarization, drafting, or document editing/comparison using LLMs, RAGs, and the right context for LLM calls
Experience with making data driven decisions, based on product analytics and have experience using monitoring and observability tools like Datadog or equivalent to diagnose performance issues and ensure system health
Highly agile mindset with proven ability to work effectively in 0-to-1 setups, frequently make pivots, and translate ambiguity into concrete, impactful engineering work
Exceptional skills as a great collaborator with product, design, and QE teams, acting as a clear technical voice for customer-centric solutions

Job Responsibility

Lead the design, development, and deployment of features from end-to-end using TypeScript, Node.js, React, and PostgreSQL, ensuring high performance and availability
Be a primary contributor to the next generation of AI-powered legal features, including specialized summarization, drafting, editing, and document comparison functionalities utilizing LLMs
Build and maintain reliable, highly scalable software and services designed for a high-traffic SaaS environment
Collaborate closely with Product Managers, UX Designers, and QE counterparts to rapidly prototype, iterate on designs, and make frequent, agile pivots based on user feedback
Maintain a high degree of customer empathy, ensuring technical decisions prioritize user experience and directly address customer pain points, creating measurable product impact
Work with platform teams to consume and manage internal LLM APIs, ensuring resilient connections and efficient token usage to meet strict latency targets

What we offer

100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
Market-leading leave policies, including gender-neutral parental leave and compassionate leave
Family forming support through Maven for you and your partner
Paid time off
Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
Mental health support through Modern Health, including therapy, coaching, and digital tools
Pre-tax commuter benefits (US Employees)
401(k) plan with Fidelity with employer match (US Employees)
Regular team events to connect, recharge, and have fun
The opportunity to help build the company you want to work at

Fulltime

Staff Applied AI Engineer

A rapidly growing venture-backed startup is on a mission to transform how people...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

STEM degree from a top school (bonus points for Masters or PhD)
5+ years of hands-on experience applying AI/ML techniques to real-world, user-facing products
Strong software engineering background with a track record of shipping at scale
Experience tuning and deploying LLMs
Comfortable moving quickly, testing new approaches, and balancing experimentation with reliability

Job Responsibility

Build and refine AI-driven product features that feel intuitive and responsive
Apply data from real users to personalise interactions and improve predictive performance
Experiment with model fine-tuning, retrieval methods, and feedback loops to maximise accuracy
Develop specialised AI-powered workflows that simplify complex technical tasks
Collaborate with engineers and product leaders to ship enhancements rapidly and iteratively

What we offer

meaningful equity on offer

Fulltime

Staff Engineer - Applied AI (Java)

We are seeking an accomplished Staff Software Engineer with a proven track recor...

Location

United States , Chevy Chase; Palo Alto; Dallas; Seattle

Salary:

110000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
10+ years of professional experience building maintainable, scalable, and high-performance systems in Java
Expert in modern Java (preferably Java 21) and hands-on with the latest features and best practices
Deep knowledge of Spring Boot (preferably 3.4.x+), Spring Cloud, and related frameworks
Extensive experience in designing and deploying distributed systems and microservice-based architectures
Demonstrated hands-on experience with Generative AI applications and familiarity with AI concepts such as RAG and MCP
Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) to improve software engineering productivity is required
Strong understanding of RESTful API design, secure API development, and service-to-service communication patterns
Proficient with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
Solid grounding in CI/CD, automated testing, infrastructure-as-code, and observability

Job Responsibility

Design, develop, and maintain scalable, high-performance, and modular microservices using Java (version 21+) and Spring Boot (3.4.x)
Collaborate with Enterprise Architects and Product Managers to define technical roadmaps and architectural blueprints
Build and integrate AI-powered features, focusing on Generative AI solutions
Partner with ML and Data Science teams to productionize AI models and support cutting-edge use cases
Provide technical leadership and mentorship for engineering teams
establish best practices for code quality, security, testing, and DevOps
Review code, coach engineers, and foster an inclusive, learning-rich environment
Champion innovation, stay abreast of technology trends, and drive continuous improvement in engineering processes, observability, and automation

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Engineer - Applied AI

GEICO is seeking a Staff Engineer, Applied AI to help shape how Generative AI en...

Location

United States , Chevy Chase; Palo Alto

Salary:

115000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Strong hands-on experience with Python and modern AI frameworks such as LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, and OpenAI or Anthropic APIs
Demonstrated experience designing, building, and operating production AI systems including agentic workflows and intelligent automation features
Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to collaborate deeply across teams and co-create solutions with engineers, product managers, and domain experts
Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
A history of delivering measurable business outcomes from AI systems
Strong competency in distributed systems, service design, performance optimization, and reliability engineering

Job Responsibility

Identify and evaluate opportunities for automating business processes using AI, intelligent workflows, and agent-based systems
Architect, build, and deploy applied AI solutions across high-value enterprise workflows including automation, document intelligence, decision support, and intelligent assistants
Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale
Build systems and services that meet high standards for scalability, resilience, performance, and availability
Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into technical designs
Mentor engineers and scientists who want to develop AI and agentic workflow skills through coaching, pairing, reviews, and architectural guidance
Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real-world challenges
Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams
Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI Applications

Vanilla is seeking a Staff Software Engineer - AI Applications with a strong bac...

Location

United States

Salary:

190000.00 - 210000.00 USD / Year

Vanilla Technologies

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience
8+ years relevant work experience
Proficiency in modern programming languages such as Python or Javascript
Experience with OpenAI, Anthropic, or similar for both chat and API interfaces
Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation
Production experience with scalability and best-practices of AI infrastructure
Must have experience with AI observability, monitoring, and signaling using tools like LangChain or LangGraph
Hands-on experience using RAG and chunking to tune LLM performance
Experienced with LLM orchestration tooling and decision frameworks
Experience or exposure building agentic capabilities and workflows

Job Responsibility

Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI
You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results
You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights
You can build tooling to support model training, evaluation, inference serving, monitoring and alerting
You want to use the latest ML frameworks and open source tools to develop new model training pipelines
Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust
You have experience building microservices and understand the tradeoffs of the approach
Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data
Database management: You are able to design and implement schemas, optimize queries, and manage database performance
Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders

What we offer

Flexible paid time off policy and 10 company-wide paid holidays
Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents
Medical, dental, and vision benefits coverage for employees and their families
401K eligibility after one month of employment
Free estate planning documents
Budget for learning & development and home office setup
Paid parking or transit for hybrid and in office employees

Fulltime

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Staff Software Engineer – Applied AI

Job Description

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What we offer

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