Staff Backend Software Engineer at Saris AI | San Francisco

Join the Bretton AI TeamBretton AI stands at the forefront of innovation in the financial services sector, providing a cutting-edge AI agent platform trusted by industry leaders such as Robinhood, Mercury, and Gusto. Our technology plays a crucial role in automating mission-critical operations, including anti-money laundering and counter-terrorism investigations.With over $95 million raised from prominent investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is located in the heart of downtown San Francisco. Our diverse team comprises talent from esteemed organizations such as SpaceX, Google, Netflix, Stripe, and Plaid, bringing together a wealth of expertise to drive our mission forward.Your Role As a Product EngineerWe are seeking talented Product Engineers who are adept at transforming complex customer challenges into streamlined technical solutions. You will take ownership of significant features from the initial concept to deployment, collaborating closely with clients to grasp their needs, architect scalable systems, and deliver code that enhances compliance operations.This position merges deep technical expertise with direct customer impact, enabling you to develop systems that handle thousands of cases, dramatically reduce the workload for compliance teams, and contribute meaningfully to our revenue growth.What You Will CreateDesign user-friendly interfaces for case management, reporting, and analytics.Develop document analysis and verification solutions.Create intelligent workflows that integrate AI tools and data services to facilitate research, enrichment, and verification, while ensuring human oversight for critical reviews.Build customizable tools that empower clients to configure their compliance workflows effectively.Desired QualificationsEssential Skills:4+ years for Engineer / 6+ years for Senior Engineer / 8+ years for Staff Engineer in developing production software.Proficient in full-stack development, encompassing backend services, APIs, databases, and preferably some frontend development.Demonstrated success in delivering customer-facing products where reliability is paramount.A proactive ownership mentality, overseeing projects from requirements gathering to deployment and iterative improvements.Excellent communication abilities, capable of articulating technical decisions to varied audiences.Strong product mindset—understanding the reasoning behind your developments, not just the execution.Preferred Experience:Familiarity with compliance frameworks and regulatory environments.Experience in financial technology or related fields.

Join the Bretton AI TeamBretton AI stands at the forefront of innovation in the financial services sector, offering a premier AI agent platform. Our technology is trusted by industry leaders such as Robinhood, Mercury, and Gusto, enabling them to streamline critical operations including anti-money laundering and counter-terrorism investigations.Having successfully raised over $95 million from esteemed investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our dynamic team is located in the heart of San Francisco, bringing together talent from elite organizations such as SpaceX, Google, Netflix, and Stripe.Your Role as a Forward Deployed EngineerAs a Forward Deployed Engineer (FDE), you will be instrumental in collaborating directly with clients to deploy and integrate Bretton’s cutting-edge platform within complex real-world environments. This position uniquely combines elements of engineering, customer engagement, and product development, enabling you to help clients leverage our technology while gathering insights that will enhance and expand our product offerings.Key ResponsibilitiesImplement Bretton's AI agents across banks, fintech firms, and payment processors, adeptly managing security and compliance challenges associated with regulated industries.Travel to client sites to address last-mile connectivity issues, ranging from core banking integrations to troubleshooting scenarios that arise in live production.Collaborate with BSA officers, AML analysts, and risk management teams to translate their operational workflows and regulatory obligations into actionable agent behaviors.Develop connectors, configuration tools, and internal frameworks that transform bespoke client solutions into scalable platform capabilities.Guide clients through the implementation process as a trusted technical advisor, helping them resolve challenges swiftly and maximize their investment in Bretton's solutions.Work cross-functionally with engineering, product, and go-to-market teams to eliminate obstacles and ensure client success.Diagnose and solve issues during real deployments by replicating problems and collaborating with the engineering team to implement solutions.Convert customer usage data into actionable product insights by communicating their needs with engineering and product teams, identifying opportunities to integrate recurring solutions as formal product features.

Join Bretton AI: Revolutionizing Financial SecurityBretton AI stands as the forefront AI agent platform dedicated to transforming the financial services sector. Trusted by industry leaders such as Robinhood, Mercury, and Gusto, we specialize in automating essential functions, primarily focusing on anti-money laundering and counter-terrorism investigations.With over $95 million raised from prestigious investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is located in the vibrant heart of downtown San Francisco. Our exceptional team hails from renowned organizations like SpaceX, Google, Netflix, Stripe, and Plaid, bringing a wealth of experience and expertise.The OpportunityWe are on the lookout for a meticulous and analytical individual to enhance our AI Operations team. In this pivotal role, you will be at the forefront of ensuring peak performance of our AI agents, empowering banks and fintechs in their fight against financial crime on a large scale. Your responsibilities will include quality monitoring, feature testing, and direct collaboration with engineering and our clients to maintain optimal platform performance.This is a unique chance to gain insight into the functioning of cutting-edge AI systems in a production environment while making a significant contribution to global financial security.Your ResponsibilitiesPerform quality assessments of AI agents to meet compliance standards for banking and fintech sectors.Evaluate new features and custom logic prior to their deployment for clients.Analyze case data to uncover patterns, identify issues, and propose improvement opportunities.Collaborate with engineering teams to understand and assess the effects of system modifications.Acquire knowledge of advanced AI monitoring methodologies, including performance drift detection and human scoring pipelines.Provide operational insights and recommendations to our largest clients.Partner with product and engineering teams to translate operational findings into actionable platform enhancements.Path to SuccessMonth 1: Gain mastery of our AI platform and familiarize yourself with complex compliance workflows by shadowing seasoned team members and conducting initial case reviews.Month 2: Assume responsibility for operational support for major client implementations, executing comprehensive quality evaluations and collaborating with engineering to enhance system performance.Ongoing: Become the principal authority on AI operations, executing critical reviews that significantly influence product development and client success.

About Bretton AIBretton AI is at the forefront of artificial intelligence solutions tailored for the financial services sector. Trusted by industry leaders such as Robinhood, Mercury, and Gusto, we specialize in automating crucial operations, with a focus on anti-money laundering and counter-terrorism investigations.Having secured over $95 million in funding from prominent investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters are situated in the vibrant downtown of San Francisco. Our diverse team comprises individuals from esteemed organizations including SpaceX, Google, Netflix, Stripe, and Plaid.The RoleAs a Senior Infrastructure Engineer, you will be pivotal in creating the robust infrastructure that allows for the deployment of secure and compliant AI systems within major financial institutions, addressing financial crime on a grand scale. Our infrastructure is based on a state-of-the-art, container-native architecture utilizing Docker and Kubernetes to provide reliable, auditable deployments across varied customer environments.Your responsibilities will extend to collaborating directly with our largest clients—institutions that serve billions—to architect, automate, and fortify both our on-premises and cloud environments, ensuring adherence to stringent regulatory and performance standards such as SOC 2 compliance. Your efforts will be guided by genuine customer needs and will have a wide-reaching impact, necessitating the construction of enterprise-grade systems, seamless cooperation with engineering and customer teams, a solid understanding of financial services compliance, and an ability to adapt swiftly to changing requirements.What You’ll DoOversee and enhance our Kubernetes infrastructure, encompassing cluster management, service mesh configurations, and container security protocols.Design and implement advanced delivery pipelines featuring canary deployments, automated rollbacks, and deployment health validations.Develop and sustain our observability infrastructure in Datadog, including dashboards, monitors, SLOs, and distributed tracing capabilities.Lead incident responses for critical outages and proactively assess capacity requirements for low-latency AI inference.Architect and automate secure infrastructure leveraging Infrastructure-as-Code for VPCs, IAM policies, Kubernetes manifests, and private cloud deployments.Maintain and enhance the infrastructure controls that ensure our SOC 2 compliance.Guide customer engagements for enterprise rollouts and mentor mid-level engineers on best practices in infrastructure.What We’re Looking ForMust-Haves:We are seeking candidates who are not only technically proficient but also passionate about working in a dynamic environment that directly impacts the financial sector.

fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects

About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.

Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.

Rhythms develops AI technologies that help organizations operate with greater autonomy. The founding team previously built Ally.io, acquired by Microsoft, and the company is supported by investors such as GreenOaks, Madrona, and Accel. Rhythms has earned recognition from GeekWire and is listed among the top AI innovators for 2025. Its platform is already used by Fortune 100 firms, healthcare systems, and logistics organizations worldwide. The core platform uses a multi-agent AI architecture to automate business processes, monitor progress across systems, identify risks early, and reduce manual work. Integrations with Slack, Teams, Jira, and Linear help keep operations connected and efficient. Role overview This AI Product Engineer role is based in San Francisco and offers broad responsibility across multi-agent systems, large language model (LLM) orchestration, and the customer-facing product. The work is hands-on, with daily feature releases to production, direct customer interaction, and rapid feedback cycles. The position involves identifying problems, designing and implementing solutions, and taking ownership of the results. What you will do Develop agent systems that autonomously manage business operations, including OKR execution, MBR/WBR cadences, and Auto-Pilot workflows, with a focus on enterprise reliability. Oversee features from discovery and design through implementation and measurement. Design multi-agent systems that balance performance and reliability, making informed decisions on models, orchestration, and evaluation methods. Create chat-native product experiences that blend strong product sense with thoughtful systems design. Advance the AI stack by using tools such as Claude Code and Cursor, shipping new AI features weekly, and adapting as models evolve. Requirements 2–5 years of experience building production software, with hands-on work involving LLMs, agents, or AI-native products beyond prototypes or demos. Strong Python skills and familiarity with React/Next.js, along with experience in distributed systems. Customer-focused approach, prioritizing user impact over technical architecture alone. Track record of delivering agent systems that perform reliably in production settings.

Anara is seeking a talented Software Engineer to join our innovative team in revolutionizing scientific research. In this role, you will develop groundbreaking tools that will redefine the landscape of scientific discovery for generations.Your Responsibilities:Design and implement scalable features and infrastructure for cutting-edge AI-driven research tools.Collaborate directly with customers to gather valuable insights and enhance user experience.Continuously monitor and optimize system performance and costs, making strategic trade-offs to maintain agility.Establish best practices for prompt engineering and deployment of new models and workflows.Lead the design and automation of evaluation pipelines to consistently assess, benchmark, and enhance AI agent quality and reliability.

About Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.

Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.

fractional-ai is looking for a Senior or Staff Software Engineer to join the San Francisco office. This position centers on building advanced AI solutions with a team that values both technical depth and collaboration. Role overview This role focuses on designing and developing AI-driven systems. The work involves solving technical challenges and contributing to projects that push the boundaries of what AI can achieve. Collaboration with other engineers and stakeholders is a key part of daily responsibilities. Who will thrive Experienced engineers with a strong background in software development Those who enjoy working on complex technical problems Individuals who value teamwork and open communication Location This position is based in the San Francisco office.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

Join the Revolution at Retell AIRetell AI is pioneering the future of call centers through innovative voice AI, driven by first principles thinking.In just 18 months since our inception, we have empowered thousands of businesses with our AI voice agents, transforming how sales, support, and logistics calls are managed—previously requiring extensive human teams. Supported by prestigious investors such as Y Combinator and Alt Capital, we've rapidly scaled from $5M ARR to an impressive $36M ARR with a compact yet dynamic team of 20.Our ambition for 2026 is to create a revolutionary customer experience platform, where entire contact centers are powered by AI. Moving beyond basic automation, we aim to develop intelligent AI “workers” that serve as frontline agents, QA analysts, and managers, continuously enhancing customer interactions without the need for constant human oversight.As we expand, we are seeking passionate engineers who are eager to solve challenging technical problems, act swiftly, and make a significant impact in one of the fastest-growing voice AI startups. Let’s shape the future together.

Join David AI as a Staff Product EngineerAt David AI, we are pioneering the field of audio data research, applying a rigorous R&D methodology to create robust datasets that empower AI models. Our vision is to integrate AI seamlessly into daily life, with audio serving as the key medium. As the demand for high-quality training data grows, we position ourselves as the solution.Founded in 2024 by a team of seasoned engineers from Scale AI, we quickly garnered the trust of leading FAANG companies and AI labs. Our recent $50M Series B funding round was led by prestigious investors including Meritech and NVIDIA, underscoring our potential in the audio AI landscape.We pride ourselves on our dynamic, collaborative, and ambitious team, and we are on the lookout for exceptional talent in research, engineering, product, and operations to help us redefine audio AI.About Our Engineering TeamOur engineering team is at the forefront of innovation, building the infrastructure, platforms, and models that convert raw audio into valuable data for top-tier AI labs and enterprises. We are a close-knit group of product engineers, infrastructure experts, and machine learning specialists who are dedicated to establishing the first-ever audio data research organization.We operate with agility, taking ownership of our projects from inception to deployment, delivering production-ready solutions on a daily basis. Our engineers design real-time pipelines that manage vast amounts of speech data while deploying advanced generative audio models.Your RoleAs a Staff Product Engineer, you will spearhead our Product Engineering team, developing state-of-the-art products that enable our clients to harness audio data effectively for model training. You will collaborate with researchers to continually refine our data collection methodologies.Your ResponsibilitiesLead the development of full-stack features, rapidly iterating to deliver daily innovations to our users.Construct scalable systems that process terabytes of audio data and extract actionable insights.Deploy and assess LLM- and DSP-based solutions to enhance customer understanding of their data.Facilitate research iterations and deployment interfaces for data collection in collaboration with researchers and operations.

Join Our Innovative Team at Retell AIRetell AI is at the forefront of revolutionizing the call center industry through advanced voice AI technology. In just 18 months since our inception, we have empowered thousands of businesses to optimize their sales, support, and logistics calls, which previously relied on large teams of human agents. Supported by prominent investors including Y Combinator and Alt Capital, we've achieved remarkable growth, scaling from $5 million to $36 million in annual recurring revenue (ARR) while expanding our talented team to 20 members.Our ambitious vision for 2026 is to develop a state-of-the-art customer experience platform, transforming entire contact centers with AI. Unlike traditional automation that requires ongoing human oversight, we are building intelligent AI "workers" capable of functioning as frontline agents, quality assurance analysts, and managers, constantly enhancing customer interactions.If you are a passionate innovator eager to solve complex technical challenges and make a tangible impact at one of the fastest-growing voice AI startups, we invite you to join us in shaping the future.Ranked among the top 50 AI applications by a16z: a16z List4th on Brex's Fast-Growing Software Vendors of 2025: Brex BenchmarkFeatured as a leading startup on: Leanaileaderboard

Join promise as a Software Engineer specializing in AI, where you will be at the forefront of technological innovation. You will work collaboratively with a passionate team to develop cutting-edge AI solutions that impact lives and improve efficiency across various sectors. Your expertise will help shape the future of our products and services.

About Bretton AIBretton AI stands at the forefront of AI technology in financial services, empowering companies like Robinhood, Mercury, and Gusto to automate critical operations, focusing initially on anti-money laundering and counter-terrorism investigations.Having secured over $95 million in funding from esteemed investors such as Greylock, Y Combinator, and Thomson Reuters Ventures, we are headquartered in downtown San Francisco. Our talented team hails from some of the world's leading organizations, including SpaceX, Google, Netflix, Stripe, and Plaid.The RoleAs a Sales Engineer, you will serve as the essential technical liaison between our Account Executives and potential clients. Your role is pivotal in helping them understand, adopt, and thrive with our AI solutions. This position requires a unique blend of technical expertise and sales prowess to effectively showcase value, establish trust, and expedite deal closures.You will advocate for our customers, translating their requirements into innovative solutions and delivering crucial insights to our product and engineering teams. You will demonstrate how our state-of-the-art AI can revolutionize compliance operations, engaging with both CTOs and Chief Compliance Officers.What You’ll DoCollaborate with Account Executives to develop and deliver impactful, personalized demos aligned with the specific needs of our prospects.Create proof-of-concepts and prototypes that illustrate how our AI agents can address our customers’ most urgent challenges.Articulate our technical solutions to both business and technical stakeholders in a compelling manner.Effectively address technical objections, including inquiries regarding integration, compliance, and performance metrics.Work closely with the Product and Engineering teams to relay field feedback and shape our product roadmap.Contribute to the creation of sales enablement resources, demo environments, and best practices to enhance the effectiveness of our sales engineering team.What We’re Looking ForMust-Haves:A robust technical background in software engineering, solution architecture, or technical consulting.Exceptional communication and presentation skills, capable of articulating complex AI concepts into clear business value.Proven ability to confidently manage technical discussions and overcome objections.

About LightfieldLightfield is a cutting-edge AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction, transforming it into organized context—encompassing accounts, tasks, follow-ups, and insights—ensuring no detail is overlooked.We are redefining CRM by focusing on fundamental principles. Rather than imposing rigid systems, Lightfield adapts to the natural workflows of companies, automating processes and revealing insights that propel growth. We're crafting the CRM platform we've always desired: swift, intelligent, and truly beneficial.Our team, backed by prominent investors such as Greylock, Lightspeed, and Coatue, has previously created Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have also contributed to renowned products at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a highly motivated and innovative engineer who is passionate about harnessing LLMs to create exceptional product experiences. Join us at the forefront of AI product innovation, where you will develop industry-leading solutions to address critical customer challenges.As an engineer at Lightfield, you will take ownership of projects from conception to execution, collaborating with cross-functional teams throughout the process. You will also help shape our company's product and technical vision, learning from each project as we continue to expand.What You Will DoPartner with product leaders to pinpoint customer challenges, define requirements, and implement LLM-powered solutions.Utilize LLMs as reasoning engines to develop domain-specific AI assistants.Craft and refine prompts, employing techniques such as few-shot learning and chain-of-thought.Design and optimize end-to-end RAG pipelines and agent architectures to effectively utilize both public and proprietary data.Enhance the overall quality of AI agents (e.g. relevance, fidelity, latency) through empirical evaluation and iterative improvements.Create and improve systems and tools that facilitate high-velocity experimentation (e.g. LLM-powered automated evaluation) and personalized product experiences.Stay updated with the latest AI research and integrate cutting-edge techniques into our work.Contribute to defining technical direction and best practices for AI application development at Lightfield.Play a role in building a world-class engineering culture.