Software Engineer, Applied AI Job at Norm AI (New York City)

Software Engineer, Applied AI

As a Software Engineer on Applied AI, you’ll build, deploy, and operate systems ...

Location

United States , San Francisco

Salary:

130000.00 USD / Year

Mercor

Expiration Date

Until further notice

Requirements

Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
Experience with model training and inference
Strong grounding in statistical analysis and experimental design for measuring model performance and improvements
Familiarity with evaluation methods for large language models
Comfort working through ambiguity and shipping iteratively

Job Responsibility

Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs
Build and operate scalable data pipelines for post-training workflows and model evaluations
Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions
Prototype new data types, benchmarks, and evaluation frameworks
Lead technical discussions with customers

What we offer

Generous equity (4-year vest)
$20K relocation bonus
$10K housing bonus (within 0.5 miles)
$1K monthly meal stipend
Free Equinox membership
Health insurance

Fulltime

Sr. Software Engineer - Applied AI

GEICO is seeking an experienced Sr. Software Engineer to join our Unified Commun...

Location

United States , Palo Alto

Salary:

80000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering or applied machine learning experience
1+ years working with Generative AI or LLM-based systems in production
Strong 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 track record building scalable, resilient, secure, and maintainable systems that run reliably in production
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation, vector databases, and knowledge graph integration
Ability to work deeply with engineers, product managers, and domain experts to co-create solutions
Experience mentoring engineers and helping others grow in AI, LLM, and agent-based system design
History of delivering measurable business outcomes with AI solutions
Strong competency in distributed systems, service design, performance optimization, and reliability engineering

Job Responsibility

Identify AI opportunities: Evaluate and prioritize opportunities to automate business processes using AI, intelligent workflows, and agent-based systems
Design and ship applied AI solutions: Architect, build, and deploy AI solutions for high-value workflows including automation, document intelligence, decision support, and intelligent assistants
Build agentic workflows: Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale
Own production systems: Develop services that meet high standards for scalability, resilience, performance, security, and availability
Leverage knowledge graphs: Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi-step workflows
Partner across functions: Collaborate with product, engineering, operations, and analytics partners to co-create scalable AI solutions and translate business needs into robust technical designs
Mentor and upskill others: Coach engineers and scientists in AI, LLMs, and agentic workflow design through pairing, reviews, and architectural guidance
Drive innovation: Explore new models, frameworks, and reasoning techniques and apply them thoughtfully to real-world challenges
Influence architecture: Provide technical guidance on architecture, experimentation, and deployment within and across teams
Experiment and evaluate rigorously: Run end-to-end experimentation, 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

Staff Software Engineer – Applied AI

Lead the design and delivery of end-to-end AI applications, from discovery and p...

Location

United Arab Emirates , Dubai

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

7+ years’ experience building production-grade software
Strong backend capability (Python preferred, but stack-agnostic mindset)
Hands-on experience or strong interest in LLMs / GenAI (LangChain, vector DBs, model tooling, eval frameworks etc.)
Comfortable owning projects end-to-end and interacting directly with technical stakeholders
Startup mentality – high ownership, adaptable, and excited by ambiguity

Job Responsibility

Architecting and deploying custom AI solutions (automation, agents, evaluation frameworks, internal AI tooling)
Working directly with senior stakeholders (including CTO-level) on requirements and trade-offs
Leading technical direction across projects
Shaping engineering standards and culture as the team scales

What we offer

Front-row seat to real-world enterprise AI deployment
Exposure to a wide range of industries and use cases
Senior, high-calibre engineering environment
Opportunity to shape a new regional presence in Dubai

Fulltime

Full Stack Software Engineer - Applied AI

Perplexity is seeking full stack applied AI engineers to revolutionize the way p...

Location

United States , San Francisco; Palo Alto; New York City

Salary:

210000.00 - 385000.00 USD / Year

Perplexity

Expiration Date

Until further notice

Requirements

Hands-on experience building production AI or agentic applications end to end, including tool calling, context engineering, and integration with modern LLM APIs
Strong backend and systems design skills, with a track record of making practical tradeoffs between cost, latency, reliability, and quality in real-world systems
Proficiency with modern web or product stacks (e.g., Python plus a frontend framework) and comfort working across the stack from data and infra to UI
Self-directed and high agency, with 4+ years of industry experience in software or AI engineering and a bias toward shipping impactful product work

Job Responsibility

Design and deliver scalable, end-to-end AI features that power core user experiences such as discovery, deep research, and monetization across Perplexity’s products
Build and evolve full stack systems that integrate multiple third-party and in-house Sonar models, ensuring seamless orchestration, robustness, and observability in production
Develop and maintain evaluation and experimentation platforms to measure answer quality, model performance, and product impact, supporting both online and offline workflows
Collaborate closely with research, product, design, and infra teams to translate frontier model capabilities into shipped user-facing features and internal tools
Continuously improve performance, reliability, and cost efficiency of AI-powered applications through thoughtful system design, instrumentation, and iteration

What we offer

Equity
Health
Dental
Vision
Retirement
Fitness
Commuter and dependent care accounts

Fulltime

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

Senior Software Engineer (Applied AI)

As a Senior Software Engineer (Applied AI), you will play a critical hands-on ro...

Location

United States , Seattle; New York City; Boston

Salary:

130000.00 - 200000.00 USD / Year

Pearl Health

Expiration Date

Until further notice

Requirements

5-8+ years of professional experience in software engineering, with a strong foundation in service-oriented architectures and distributed systems
Hands-on experience building and productionizing Applied AI/LLM features, including working with RAG architectures, vector databases, embedding models, and/or Agentic workflows
Experience with observability and evaluation practices for production LLM systems (prompt tracking, quality metrics, cost monitoring)
Strong proficiency in Python, relational databases, and a major cloud platform (AWS preferred)
A deep understanding of modern service design principles, including RESTful and event-driven architectures
Proven experience designing, building, and optimizing data-intensive applications
A demonstrated history of mentoring engineers and driving technical best practices within a team
A strong background in performance optimization, reliability engineering, and security best practices

Job Responsibility

Design, build, and own production AI features powered by LLMs, including RAG architectures (chunking strategies, semantic search, vector databases) and Agentic workflows
Develop high-performance data pipelines, APIs, and microservices that process healthcare data at scale and securely integrate LLM outputs into user-facing experiences
Execute Proof-of-Concepts (POCs) and technical evaluations of new AI technologies to validate product viability and scalability
Build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features
Ensure observability, monitoring, and operational excellence for AI-powered services, championing security and regulatory compliance (HIPAA, SOC2)
Drive architectural decisions and system optimizations for AI features in close collaboration with product and engineering leadership
Own technical projects from discovery to delivery with autonomy, ensuring solutions align with business needs and long-term scalability
Mentor and upskill fellow engineers on Applied AI best practices, fostering a strong culture of technical excellence and collaborative growth
Contribute to the team's understanding of LLM capabilities, limitations, and best practices within the healthcare domain
Participate in thorough design and code reviews, raising the bar for technical quality across the team

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

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Software Engineer, Applied AI

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