RAG Jobs

As a new-grad Forward Deployed Engineer at Domino, you will work directly with customers to identify significant challenges in AI adoption within highly regulated industries. You will learn to utilize the Domino platform to develop solutions for mission-critical business operations. This role combines applied AI engineering and software engineering skills with customer empathy and domain knowledge. You will collaborate with experienced engineers to rapidly transform ambiguous customer problems into tangible solutions, which may include RAG pipelines, agentic workflows with automated evaluation, or software solutions for process automation. You will be responsible for writing code, designing end-to-end systems, and delivering impact in high-stakes environments across healthcare, life sciences, finance, and government sectors. Domino trusts new-grad engineers to contribute to critical, high-visibility projects from the outset, offering the chance to make a meaningful impact from day one.

$150k - $165k

Together AI

Together AI runs one of the largest GPU fleets globally, and the Infra Agent Systems team is responsible for developing the software that powers and automates this infrastructure. The team builds production AI agents designed to diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, they are building the core platform, which includes knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. This role offers the unique opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation, tackling complex engineering challenges with significant real-world impact.

$250k - $300k

Perplexity is looking for an experienced Machine Learning Research Engineer to contribute to the development of next-generation advanced search technologies, with a particular emphasis on retrieval and ranking. This role involves architecting and building core components of the search platform and model stack, and deploying models from boosting algorithms to LLMs in a scalable and performant manner. The engineer will also be responsible for building and optimizing RAG pipelines for grounding and answer generation, and collaborating with cross-functional teams to ensure high-quality delivery.

The Silicon Co-Design Group (SCG) is at the forefront of chip development, spanning architecture, design, marketing, operations, and productization across various markets including Datacenter, Gaming, Robotics, and Automotive. We are seeking a Senior Engineer to lead system validation, debug, and cross-functional alignment for critical silicon programs. This role is pivotal in ensuring product quality by identifying and resolving complex issues before they reach customers, and by building robust, AI-enabled validation capabilities. Your work will directly impact product success, escape rates, and customer confidence.

$168k - $311k

Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. The focus is on shipping production agentic architectures, owning evaluation harnesses, and understanding the operational aspects of AI systems in real-world enterprise environments.

Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. The focus is on shipping multi-agent systems in production, owning the evaluation harness, and understanding system failures in real-time enterprise environments. You will architect and govern production-grade agentic systems at enterprise scale, defining standards for RAG pipelines, multi-LLM integration, and LLMOps. This position offers broad exposure across industries and technology stacks, with opportunities for vendor fellowship access and a direct pathway to advanced engineering programs.

Databricks

The Applied AI team at Databricks is at the forefront of advancing GenAI-powered products, having launched Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are used by hundreds of thousands of users daily, tackling challenging problems like code suggestion, text-to-sql generation, and knowledge QA. As GenAI products evolve, we are seeking engineers to drive the next phase of development, focusing on enhancing LLM quality, expanding GenAI capabilities, and strengthening platform architecture for AI interactions at scale.

$190k - $285k

Databricks

Databricks is transforming how it builds and operates People Technology, moving from traditional SaaS configuration toward an AI-native, agentic stack. You will be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.

$192k - $260k

Databricks

Databricks is seeking a Sr. Software Engineer to join the Ingestion Core Team. This team is responsible for making data ingestion simple, reliable, and efficient for all data types, including structured and unstructured. The role involves building distributed platform systems to incrementally ingest high-volume, petabyte-scale data from diverse sources into Delta Lake, ensuring schema evolution and change data capture. You will contribute to simplifying complex data challenges and empowering customers with analytics and machine learning tools.

$166k - $225k

Databricks

As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. The mission is to lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads.

Databricks

Databricks is seeking a Senior Staff Applied AI Engineer to lead the development of context retrieval systems for Databricks agents across various SaaS providers. This is a foundational role focused on building both the underlying retrieval stack and the intelligent search subagents that leverage it. The goal is to significantly enhance the ability of Databricks agents to access and understand relevant information from diverse data sources, thereby improving their performance in tasks ranging from answering complex queries to debugging and data analysis. This role requires deep expertise in information retrieval and a proven track record of shipping production-ready retrieval systems for RAG and agentic workloads.

$229k - $343k

Retool is building the future of internal software development, making it safe and efficient to ship custom applications powered by AI. As AI capabilities expand, the challenge shifts from accessing models to ensuring the reliability, evaluability, and trustworthiness of these non-deterministic systems in production. We are seeking AI Engineers to own this critical problem end-to-end. This role is for individuals who are passionate about managing probabilistic systems, measuring quality amidst variance, and driving continuous improvement without introducing regressions.

$164k - $306k

Handshake is seeking a Senior Software Engineer to join the Backend Platform team, with a primary focus on supporting Handshake AI (HAI) and internal AI initiatives. This role involves building and maintaining backend services, shared platform capabilities, and developer tooling. The work will center on core backend platform concerns such as service architecture, APIs, data systems, performance, reliability, and developer experience, with an increasing use of LLMs and agents. The ideal candidate will possess strong backend fundamentals combined with practical knowledge of LLM-powered and agentic systems.

$208k - $260k

Eudia is seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join their growing team. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems.

We are seeking a hands-on Data Engineer to contribute to the development and scaling of our modern data platform. This role involves close collaboration with Finance, Engineering, Product, and Analytics teams to build robust, high-performance data pipelines and systems. You will work with both batch and real-time data processing technologies, ensuring data quality, accessibility, and usability across the organization. A key aspect of this role will be enabling data activation, ensuring high-quality data flows into business tools and powering next-generation AI-driven applications, including agent-based systems, by establishing strong data foundations and pipelines. This is an excellent opportunity for individuals who thrive on solving end-to-end data challenges, from ingestion to insights.

$180k - $220k

Accenture

Accenture Industry X is seeking a Senior AI Full Stack Developer with expertise in Python and React/TypeScript to design, build, and deploy production-grade AI applications. You will work across the complete technology stack, from Python backend services and AI orchestration layers to responsive React-based user experiences. This role involves hands-on work with Large Language Models (LLMs), Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), APIs, cloud platforms, and modern DevOps practices, transforming AI concepts into scalable, observable, and production-ready solutions within fast-moving, cross-functional teams.

Abridge

Abridge is seeking early-career Software Engineers passionate about making a real-world impact through AI in healthcare. You will join a cross-functional team of researchers, clinicians, and engineers to translate cutting-edge language model capabilities into dependable clinical systems. This role involves building AI-powered features that integrate into clinical workflows, shipping production code, and experiencing accelerated learning and career growth in an environment where Generative AI is central to product development. You will be given significant responsibility and autonomy, working alongside a team dedicated to achieving their best work.

$167k - $184k

We are building the next generation of AI-native product experiences where conversations directly translate into outcomes. As a Staff Software Engineer on our Product teams, you will define how these capabilities are translated into scalable systems and cohesive product experiences. You will operate across the full lifecycle of AI-driven features, from data ingestion and model orchestration to output structuring and delivery into user-facing product surfaces, all at a systems level. This includes shaping the architecture behind generation pipelines, defining how AI outputs are structured and persisted, and ensuring these systems are reliable, performant, and adaptable as both product requirements and underlying models evolve. This role goes beyond individual features; you will drive technical direction across product areas, aligning product, AI, and infrastructure teams on how to build AI-native systems that scale. You will help define patterns for how we evaluate, iterate on, and continuously improve AI-driven experiences, turning ambiguous opportunities into clear systems and execution plans. You will partner closely with product, design, and AI teams to identify high-leverage opportunities, prototype new approaches, and guide them into production, shaping both the product experience and the underlying systems that power it.

$210k - $275k

We are building the next generation of AI-native product experiences where conversations directly translate into outcomes. As a Senior Software Engineer on our Product teams, you will own significant product areas and play a key role in shaping how AI capabilities deliver real user value. You will work across the full lifecycle of AI-driven features, from data ingestion and model orchestration to output structuring and delivery into user-facing product surfaces. This role involves not only building features but also designing the underlying systems, ensuring AI outputs are reliable, performant, and aligned with user needs. You will tackle complex, ambiguous problems, driving them from concept to production while making thoughtful tradeoffs across latency, cost, and quality. This includes defining how LLMs, retrieval systems, and structured data converge to create cohesive product experiences. Collaborating closely with product, design, and AI teams, you will rapidly prototype and iterate on features like summaries and intelligent workflows, while helping establish best practices for other engineers.

$185k - $230k

We are building the AI layer of the Radio Access Network, applying agentic AI, machine learning, and LLMs to real RAN challenges. This role is for a Technical Lead to own the end-to-end architecture and technical direction of these AI systems. It is a hands-on senior individual contributor role, combining architecture, coding, technical leadership, and mentorship. You will work alongside RAN, PHY, and software teams, building production-grade AI solutions for real cellular networks.