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Software Developer - LLMs & RAG - Remote - $140-170k + Equity

About Our Client

Our client is a fast-growing AI company building intelligent software solutions for the financial services industry. Their platform leverages artificial intelligence to automate complex workflows, improve operational efficiency, and help enterprise organizations make faster, more informed decisions. They are backed by leading venture capital investors and trusted by established financial institutions. The company recently received funding and is experiencing significant growth, resulting in the need to expand their fully remote engineering team across the United States.

The Opportunity

As a Software Engineer, this is an opportunity to join a small, high-impact engineering team where you’ll help develop next-generation AI products, work across backend infrastructure, cloud architecture, large language models, and distributed systems while helping shape both the technical roadmap and engineering culture.

What You’ll Do

  • Design and build scalable backend services that power a modern AI platform.
  • Develop high-performance APIs and distributed systems capable of supporting rapid product growth.
  • Build integrations with enterprise software platforms, third-party services, and internal applications.
  • Develop AI-powered capabilities using Large Language Models (LLMs), retrieval-augmented generation (RAG), and emerging agentic AI techniques.
  • Lead greenfield initiatives from architecture through production while continuously improving existing systems.
  • Enhance application scalability, reliability, security, and performance for enterprise customers.
  • Collaborate closely with engineering and product teams to deliver new features and technical solutions.
  • Influence architectural decisions, engineering standards, and the long-term direction of the platform.

Required Qualifications

  • 2+ years of experience building scalable backend applications in production environments.
  • Strong backend development experience with Python or another modern programming language, with the ability to quickly adapt to Python.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Strong software design, debugging, and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Comfortable working in a fast-paced startup environment with evolving priorities.

Preferred Qualifications

  • Experience building AI-enabled products or deploying LLM-based applications into production.
  • Familiarity with retrieval-augmented generation (RAG), AI agents, or other modern AI architectures.
  • Experience working with SQL databases, Redis, or similar data technologies.
  • Experience with AWS, Docker, Kubernetes, or other cloud-native technologies.
  • Previous experience building software for financial services, fintech, or other highly regulated industries.

Equal Opportunity Employer

Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Senior Software Developer - LLMs & RAG - Remote - $170-200k + Equity

About Our Client

Our client is a fast-growing AI company building intelligent software solutions for the financial services industry. Their platform leverages artificial intelligence to automate complex workflows, improve operational efficiency, and help enterprise organizations make faster, more informed decisions. They are backed by leading venture capital investors and trusted by established financial institutions. The company recently received funding and is experiencing significant growth, resulting in the need to expand their fully remote engineering team across the United States.

The Opportunity

As a Software Engineer, this is an opportunity to join a small, high-impact engineering team where you’ll help develop next-generation AI products, work across backend infrastructure, cloud architecture, large language models, and distributed systems while helping shape both the technical roadmap and engineering culture.

What You’ll Do

  • Design and build scalable backend services that power a modern AI platform.
  • Develop high-performance APIs and distributed systems capable of supporting rapid product growth.
  • Build integrations with enterprise software platforms, third-party services, and internal applications.
  • Develop AI-powered capabilities using Large Language Models (LLMs), retrieval-augmented generation (RAG), and emerging agentic AI techniques.
  • Lead greenfield initiatives from architecture through production while continuously improving existing systems.
  • Enhance application scalability, reliability, security, and performance for enterprise customers.
  • Collaborate closely with engineering and product teams to deliver new features and technical solutions.
  • Influence architectural decisions, engineering standards, and the long-term direction of the platform.

Required Qualifications

  • 4+ years of experience building scalable backend applications in production environments.
  • Strong backend development experience with Python or another modern programming language, with the ability to quickly adapt to Python.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Strong software design, debugging, and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Comfortable working in a fast-paced startup environment with evolving priorities.

Preferred Qualifications

  • Experience building AI-enabled products or deploying LLM-based applications into production.
  • Familiarity with retrieval-augmented generation (RAG), AI agents, or other modern AI architectures.
  • Experience working with SQL databases, Redis, or similar data technologies.
  • Experience with AWS, Docker, Kubernetes, or other cloud-native technologies.
  • Previous experience building software for financial services, fintech, or other highly regulated industries.

Equal Opportunity Employer

Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Senior Software Engineer - Infrastructure - Remote - $180-220k + Equity

About Our Client

Our client is an established, venture-backed AI infrastructure and security company helping enterprises build, deploy, and secure AI applications at scale. Their platform powers mission-critical AI workloads for some of the world’s most innovative organizations, enabling customers to operate AI systems reliably, securely, and efficiently. As AI adoption accelerates, our client is building the next generation of infrastructure products that sit at the foundation of modern AI platforms. They are seeking a Senior Backend Software Engineer to help design and develop the core systems that will power the future of AI.

The Opportunity

As a Senior Software Engineer, you will play a key role in designing and building scalable backend services, distributed systems, and cloud-native infrastructure that support cutting-edge AI workloads. You will work closely with product, platform, and infrastructure teams to develop new products from the ground up while helping shape technical direction and engineering best practices across the organization. This is an opportunity to join a high-growth company with strong product-market fit, meaningful customer adoption, and a clear path toward future liquidity.

What You’ll Do

  • Design, build, and scale highly available backend services and APIs powering AI infrastructure products.
  • Develop cloud-native systems that support large-scale AI and machine learning workloads.
  • Architect distributed systems with a focus on reliability, security, performance, and scalability.
  • Build and maintain Kubernetes-based infrastructure and services.
  • Collaborate closely with product, infrastructure, and security teams to bring new products to market.
  • Contribute to technical architecture decisions and long-term platform strategy.
  • Mentor engineers and help establish engineering best practices across the organization.
  • Improve observability, automation, deployment workflows, and operational excellence.

Required Qualifications

  • Bachelor’s degree in Computer Science or a related technical field.
  • 5+ years of professional backend software engineering experience.
  • Strong experience designing and building scalable backend systems in production environments.
  • Deep expertise with Kubernetes and cloud-native technologies.
  • Experience building distributed systems, microservices, and APIs.
  • Experience working in a startup or high-growth technology environment.
  • Strong understanding of software architecture, system design, and engineering best practices.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Experience building infrastructure, platform, developer tooling, or security products.
  • Experience with AI/ML infrastructure, model deployment platforms, or large-scale data systems.
  • Experience with public cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with containerization technologies.
  • Experience operating in fast-paced environments with a high degree of ownership and autonomy.

Why Join?

  • Competitive compensation package, including meaningful equity participation.
  • Clear path to future liquidity as the company continues to scale.
  • Opportunity to build foundational products at the intersection of AI, infrastructure, and security.
  • Significant technical ownership and influence on product direction.
  • Collaborative, high-caliber engineering culture.
  • Chance to work on complex technical challenges shaping the future of AI infrastructure.

Equal Opportunity Employer

Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Principal Software Engineer - AI - Remote - $200-250k + Equity

About Our Client

Our client is a rapidly growing, venture-backed technology company building AI-powered intelligence platforms that help organizations discover, evaluate, and act on emerging business opportunities. By combining large-scale data infrastructure, machine learning, and advanced search technologies, they transform fragmented information into actionable insights for investors, enterprise teams, and high-growth companies. With strong backing from leading investors and significant year-over-year growth, the company is focused on building the next generation of AI-native research and discovery tools.
 

The Opportunity

Our client is seeking a Principal Software Engineer to help architect and scale the intelligence systems that power their AI-driven platform. This individual will play a key role in shaping technical strategy, building large-scale distributed systems, and advancing next-generation search, ranking, and recommendation capabilities. Working closely with engineering, product, design, and data teams, you’ll help define the future of AI-powered user experiences while influencing long-term technical direction across the organization.

What You’ll Do

Design and Scale Core Intelligence Systems

  • Architect and evolve large-scale search, retrieval, ranking, and recommendation systems.
  • Own end-to-end technical design across data ingestion, indexing, personalization, and model orchestration.
  • Develop scalable frameworks that deliver highly relevant and intelligent user experiences.
  • Create reusable architectural patterns that support a variety of discovery and research workflows.

Drive AI-Powered Product Innovation

  • Lead the development of AI-driven features and intelligent workflows across the platform.
  • Evaluate and integrate emerging technologies including LLMs, agentic systems, embeddings, and model orchestration frameworks.
  • Partner with product and design teams to create intuitive AI-native user experiences.
  • Improve experimentation and evaluation frameworks to measure performance and accelerate innovation.
  • Build scalable systems that balance reliability, performance, and rapid iteration.

Provide Technical Leadership

  • Mentor engineers and promote best practices in system design, scalability, and architecture.
  • Drive cross-functional technical decisions across engineering, data, and infrastructure teams.
  • Help define the long-term technical vision for AI-powered products and platforms.

Preferred Qualifications

  • 8+ years of experience building large-scale distributed systems and backend platforms.
  • Expertise in search, recommendation, ranking, retrieval, or information discovery systems.
  • Experience deploying machine learning or LLM-powered solutions into production.
  • Proven track record leading technical initiatives and influencing architectural direction.
  • Strong background in data-intensive applications, asynchronous processing, and event-driven architectures.
  • Experience building AI-native products or intelligent workflow platforms.
  • Familiarity with RAG architectures, vector databases, embeddings, and agentic frameworks.
  • Experience in high-growth startup environments.
  • Passion for emerging AI technologies and solving complex technical challenges.

Equal Opportunity Employer

Our client is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.

Director of AI-DevOps Transformation - Remote - $200-240k

About Our Client

Our client is a leading global technology consulting firm that helps enterprise organizations accelerate digital transformation through cloud, DevOps, AI, and modern software delivery practices. They partner with Fortune 500 companies and high-growth enterprises to modernize engineering organizations, improve operational efficiency, and implement scalable technology solutions that drive measurable business outcomes. As a trusted advisor to some of the world’s most recognizable brands, our client combines deep technical expertise with strategic consulting to help organizations adopt AI-enabled software development, platform engineering, cloud infrastructure, and enterprise DevOps best practices.

The Opportunity

Our client is seeking a Director of AI-DevOps Transformation to lead strategic customer engagements across a portfolio of enterprise accounts. This individual will serve as a senior advisor to executive technology leaders—including CIOs, CTOs, CISOs, Heads of Engineering, and Platform leaders—helping them define and execute long-term technology transformation initiatives. The ideal candidate combines strong technical expertise with executive consulting and business development experience, enabling them to identify opportunities, shape complex solutions, and oversee successful delivery of enterprise transformation programs focused on AI, DevOps, cloud infrastructure, and software engineering modernization.

What You’ll Do

  • Build and manage executive-level relationships within strategic enterprise accounts, serving as a trusted advisor throughout the customer lifecycle.
  • Develop account growth strategies that expand client adoption of modern software delivery, AI-powered engineering, DevOps, cloud infrastructure, and platform engineering capabilities.
  • Identify, qualify, and lead new business opportunities while expanding existing client partnerships.
  • Collaborate with solution architects, delivery leaders, and technical teams to design enterprise-scale transformation programs.
  • Guide customers in defining target-state architectures covering CI/CD, cloud-native development, infrastructure automation, security, compliance, observability, and AI-assisted software development.
  • Partner with delivery teams to ensure successful execution, customer satisfaction, and technical excellence throughout engagements.
  • Support executive business reviews, strategic planning sessions, and customer workshops while acting as a trusted technology advisor.
  • Contribute to practice development by mentoring consultants, sharing industry best practices, and helping expand AI and DevOps consulting capabilities.
  • Stay current on emerging technologies and market trends across AI, cloud platforms, DevOps, and enterprise software engineering

Required Qualifications

  • 10+ years of experience within consulting, enterprise technology, cloud services, or digital transformation environments.
  • Minimum of 5 years in a client-facing leadership role managing executive stakeholder relationships and strategic enterprise accounts.
  • Proven experience leading enterprise software development lifecycle (SDLC) modernization initiatives, including source control, CI/CD, release management, automated testing, and software delivery optimization.
  • Demonstrated experience helping organizations adopt AI-powered software engineering capabilities such as code assistants, AI-driven testing, intelligent automation, and large language model (LLM) solutions.
  • Strong technical background in DevOps architecture, platform engineering, cloud infrastructure, or solutions architecture.
  • Experience designing and implementing CI/CD pipelines, GitOps workflows, Kubernetes, Infrastructure as Code (Terraform, CloudFormation, or similar), and observability platforms.
  • Deep understanding of enterprise cloud environments, networking, identity and access management, security, scalability, resiliency, and platform operations.
  • Active professional-level cloud certification preferred, such as AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional, or comparable Azure or Google Cloud certifications.
  • Demonstrated success managing large enterprise accounts, driving revenue growth, and leading complex consulting engagements.
  • Outstanding communication, executive presentation, and consultative selling skills.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline

Preferred Qualifications

  • Experience with enterprise DevOps and collaboration platforms such as Atlassian Jira, Jira Service Management, Confluence, GitHub, or GitLab.
  • Industry certifications including Certified Kubernetes Administrator (CKA), ITIL, SAFe, HashiCorp, or equivalent.
  • Experience implementing advanced AI capabilities including Retrieval-Augmented Generation (RAG), agent-based AI architectures, Model Context Protocol (MCP), or enterprise AI platforms.
  • Familiarity working within highly regulated industries such as financial services, healthcare, or government.
  • Experience collaborating with hyperscale cloud providers, particularly AWS partner ecosystems and joint go-to-market initiatives.
  • Previous leadership responsibility for consulting practice growth, business development, or P&L management is highly desirable.

Equal Opportunity Employer

Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Director of Engineering - Cybersecurity - Remote - $200-275k

About Our Client

Our client is a rapidly growing cybersecurity technology company serving organizations that operate highly sensitive, complex, and business-critical environments. Its technology is used by enterprises, government organizations, and critical infrastructure operators around the world to protect systems, data, and the movement of information across highly controlled networks.

The Opportunity

They are hiring a Director of Engineering to take ownership and lead the engineering strategy for one of its core cybersecurity-focused enterprise software platforms. This is a hands-on technical leadership position where you will be responsible for architecture, engineering execution, product delivery, quality, security, and the development of an AI-enabled, distributed engineering organization.

What You’ll Do

  • Establish an AI-enabled engineering culture and help create repeatable AI-enabled engineering practices that can eventually be adopted by other development organizations.
  • Stay closely connected to the code and architecture rather than operating exclusively as a people manager.
  • Establish architectural patterns and technology standards.
  • Participate in design discussions, code reviews, prototyping, and the resolution of difficult technical problems.
  • Provide technical leadership on the most complex engineering decisions.
  • Translate the product roadmap into an executable engineering plan.
  • Define the architectural direction for a security-sensitive platform operating at scale.
  • Make pragmatic decisions around technologies, infrastructure, scalability, reliability, and maintainability, and communicate architectural decisions effectively.
  • Recruit, develop, and retain exceptional engineers and engineering leaders.
  • Establish clear expectations around engineering quality, ownership, collaboration, and delivery.
  • Ensure security is considered throughout architecture, development, testing, and deployment, and partner with security stakeholders to maintain the appropriate level of assurance for highly sensitive customer environments.
  • Establish processes that allow the organization to become faster and more predictable over time.
  • Partner closely with Product Management, Product leadership, Design, Security, and other stakeholders.

Required Qualifications

  • Demonstrated AI-driven software development experience.
  • Experience developing enterprise software for B2B, regulated, or otherwise security-sensitive customers.
  • 8+ years of professional software engineering experience.
  • 3+ years of engineering leadership experience, including management of engineering leads or managers.
  • A history of delivering complex software products at meaningful scale.
  • Demonstrated ability to make and defend significant technical and architectural decisions.
  • Strong understanding of distributed systems, modern infrastructure, and building scalable software.
  • Familiarity with relational and/or document-oriented databases.
  • Experience with cloud-native architectures and modern CI/CD practices.
  • Understanding of containerized applications and modern database technologies.
  • Experience leading engineering teams across multiple locations and time zones.
  • Ability to establish trust, accountability, and effective communication within a distributed organization.
  • Demonstrated ability to attract strong technical talent.
  • Ability to build an environment where high-performing engineers can grow and succeed.
  • Strong communication skills, including the ability to explain complex technical subjects to non-technical stakeholders.
  • Experience operating in environments where secure architecture, development, testing, and incident response are critical.

Preferred Qualifications

  • Background in cybersecurity, secure data movement, data protection, content security, or critical infrastructure technology.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with Docker, Kubernetes, and other container/orchestration technologies.
  • Experience incorporating AI agents into infrastructure automation and deployment workflows.
  • Experience creating project-level AI guidance/context files that capture architectural standards, development conventions, and prohibited patterns.
  • Experience integrating AI-based development or remediation workflows into CI/CD pipelines.
  • Experience building engineering organizations across multiple countries.
  • Background working with asynchronous, concurrent, or high-throughput systems.
  • Experience validating thread safety and concurrency in distributed services.

Equal Opportunity Employer

Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

Software Engineering Manager - Cybersecurity - Remote - $200-250k

About Our Client

Our client is a global cybersecurity technology company focused on protecting critical infrastructure and complex IT, OT, and ICS environments. Their technology helps organizations secure networks and devices, analyze threats, and maintain compliance across highly demanding environments. The company is continuing to invest in advanced cybersecurity capabilities, including artificial intelligence and machine learning, and is building a new engineering team focused on solving challenging problems at the intersection of security, software, and AI.

The Opportunity

They are seeking an Engineering Manager to help build and lead a new team of software engineers and data scientists developing next-generation cybersecurity technology. This is a hands-on player-coach opportunity for an engineering leader who enjoys staying close to the technology while also building and developing a high-performing team. You will have an opportunity to shape the team’s engineering culture, hiring strategy, technical standards, and approach to development from the ground up. The team will work on technically demanding systems involving real-time data and traffic processing, highly performant services, machine learning, and AI-powered capabilities operating within production environments.

What You’ll Do

  • Lead and mentor a small, highly technical team of software engineers and data scientists.
  • Remain hands-on and technically engaged while providing day-to-day engineering leadership.
  • Establish effective engineering practices, development standards, and team processes.
  • Work with senior engineers to evaluate architecture, technologies, and implementation approaches.
  • Help translate ambiguous technical and product challenges into clear priorities and executable plans.
  • Take ownership of the team’s delivery, from planning and development through production deployment and operation.
  • Ensure the systems your team builds meet high standards for performance, reliability, scalability, and maintainability.
  • Recruit and interview engineers and data scientists as the team grows.
  • Build a strong team culture centered around ownership, technical excellence, collaboration, and continuous improvement.
  • Coach engineers and help high-performing individual contributors expand their technical and leadership capabilities.
  • Introduce and scale AI-assisted development practices across the team.
  • Remove technical and organizational blockers so engineers can move quickly without sacrificing quality.
  • Maintain a strong focus on how software performs in real-world production environments, not simply whether it works during development or testing.

Preferred Qualifications

  • 8–10+ years of software engineering experience, including experience leading or managing engineering teams.
  • Prior experience building and operating production software that customers or internal users depend on.
  • A strong hands-on engineering background with the ability to dive into technical discussions and make sound engineering decisions.
  • Demonstrated experience working with AI/ML technologies and modern AI-assisted software development practices.
  • Experience using AI tools meaningfully in your own software development workflow and helping other engineers adopt similar practices.
  • Experience hiring, mentoring, and developing strong engineering talent.
  • The ability to balance hands-on technical involvement with effective people leadership.
  • Strong judgment around architecture, system design, engineering tradeoffs, and production reliability.
  • Comfort operating in an environment where the problems and solutions aren’t always clearly defined.
  • A track record of taking ownership for outcomes rather than simply managing tasks or processes.
  • High standards for engineering quality and a genuine desire to build a team capable of delivering exceptional technology.

Equal Opportunity Employer

Our client is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.