Applied AI Software Engineer Job at Lawrence Harvey

Applied AI Software Engineer

As an applied AI software engineer on our team, you'll be working on researching...

Location

Canada , Toronto

Salary:

120000.00 - 200000.00 CAD / Year

FOSSA

Expiration Date

Until further notice

Requirements

Experience working on greenfield projects as part of small teams
Experience building and deploying software in high-velocity environments
Experience building and supporting scalable SaaS products and features
Experience with relational databases and writing performant SQL queries
Experience interacting with LLM APIs as a service
Enjoy combining the latest technologies and tools with best practices to accelerate development
Passionate about getting creative with AI to work around its shortcomings in creating automated solutions to complex problems
Interest in the art of programming languages (design, compilers and syntax parsing, etc)
Comfortable navigating complex domains and building intuitive software for them
Thrive in an environment that prefers prototypes over proposals

Job Responsibility

Work closely with our R&D business unit to research, plan, design, prototype, and build the future of FOSSA
Own user-impacting functionality from conception to completion
Build and scale the most valuable prototypes into production
Have significant ownership in our technical architecture and R&D roadmap
Primarily work in Typescript, but touch a variety of codebases in other languages, such as Rust, Haskell, or Go
Contribute to structured analysis of various languages (Java, Python, others) our customers use
Experiment with LLMs and context engineering and benchmark the results to ensure we accomplish maximal value and consistency from them

What we offer

Amazing team culture and environment
Named by Built In as Best Start-up to work for 2024, 2025 and Forbes 2022
Competitive salary and equity package
Unlimited PTO

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

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

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

Software Engineer, Applied AI

As an Applied AI Engineer at Norm Ai, you will design, build, and iterate on ent...

Location

United States , New York City

Salary:

220000.00 - 285000.00 USD / Year

Norm AI

Expiration Date

Until further notice

Requirements

4+ years of experience as a software engineer, ML engineer, or data scientist
Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis
Willingness to work with frontend technologies (Typescript, React, etc.) to bridge the gap between research ideas and the productization of new initiatives
Experience in AI/ML infrastructure and tooling
Interest in becoming a legal and compliance domain expert and working closely with professionals in the field
Strong reading, writing, and quantitative skills, as well as a data-driven approach to problem solving

Job Responsibility

Design, build, and iterate on enterprise-grade AI agents for end-to-end completion of high-stakes legal and compliance workflows
Regularly contribute performant, high-quality code to our production codebase
Oversee data collection, experimentation, and data analysis to continuously improve the platform
Build comprehensive benchmarks and evaluation suites to measure agent performance
Develop new AI workflows and systems that make cutting-edge AI available across our platform
Architect the system of underlying prompts that power our agents
Enable continuous learning in our agents through memory, feedback, and client-specific preferences
Develop legal and compliance domain expertise

What we offer

Employee equity
401(k) plan with an employer match
Top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans
Relocation reimbursement for candidates needing to relocate to NYC
Fast-paced learning environment where professional growth is constant

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

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Applied AI Software Engineer

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