We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

Who we are

“Welcoming”, “Collaborative” and “Having the opportunity to make an impact” - is how our employees describe working here.  Galileo is a financial-technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at www.galileo-ft.com. 

The role:

You will steward the 'building blocks' of modern fintech. Our APIs empower clients to build unique financial experiences, meaning your team's work directly powers the innovation of some of the world's largest fintechs.

What you’ll do:

• Build the Golden Path: Design and deliver reusable frameworks and shared infrastructure that help product squads ship secure, observable, and compliant services by default.
• Create Platform Abstractions: Identify repeated implementation patterns and turn them into modular platform components that reduce duplication and simplify service development.
• Improve Traceability and Observability: Drive adoption of common telemetry and request-correlation patterns so teams can troubleshoot and operate services more effectively.
• Advance Contract-First Development: Help make technical contracts the source of truth for service development, with tooling that keeps implementation, documentation, and schemas aligned.
• Raise the DX (Developer Experience) Bar: Build platform tools that teams adopt because they are faster, clearer, and easier to use than bespoke alternatives.
• Navigate Trade-offs Well: Make sound technical decisions that balance standardization, delivery speed, and the practical needs of individual teams.
• Partner Across Teams: Work closely with engineers, managers, and adjacent platform teams to align on patterns, priorities, and rollout plans.
• Mentor Through Practice: Coach engineers through design reviews, code review, docs, and shared implementation work; help maintain core platform libraries and support an innersource contribution model.

What you’ll need:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Distributed Systems Experience: 8+ years of experience designing and scaling resilient software systems, ideally with strong Python experience.
• Platform Mindset: Experience building shared libraries, services, proxies, or frameworks used by internal engineering teams.
• Modern SDLC Depth: Hands-on experience with CI/CD, automated testing, schema validation, and production delivery pipelines.
• Cross-Team Influence: A track record of driving technical direction and gaining buy-in from peer teams and stakeholders without direct authority.
• Cloud & Kubernetes Experience: Strong experience with AWS and Kubernetes-based environments.
• Pragmatic Engineering Judgment: Ability to identify when a problem should be standardized, abstracted, or left local.

Nice to have:

• Framework Expertise: Familiarity with Python Flask and/or FastAPI frameworks.
• Infrastructure as Code: Experience with Terraform for delivering standardized infrastructure templates.
• API Governance: Familiarity with OpenAPI/Swagger standards and the governance of large-scale API catalogs.
• Observability & Identity Experience: Experience with distributed tracing, metric taxonomies, and service-to-service authentication (S2SA) patterns.
• FinTech Experience: Domain knowledge in payment systems or highly regulated financial technology environments.

AI Software Engineer – Cloud AI Platforms

At NICE, we are not just building software—we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you’re excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

What’s the role all about?

As an AI Software Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

How will you make an impact?

• Build and scale AI-driven workflows and automation systems
• Develop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services
• Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
• Work on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestration
• Build and maintain full-stack AI applications using TypeScript, React, and Next.js — from user dashboards and personalized experiences to real-time analytics and interactive tools
• Translate real-world operational problems into automated, intelligent solutions
• Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
• Improve system performance, reliability, and observability
• Build evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvable
• Create reusable platforms and tools that accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity

Key Responsibilities

• Design and develop scalable backend systems for AI-powered platforms
• Build and maintain AI integrations, workflows, and automation pipelines
• Implement REST APIs, microservices, and event-driven architectures
• Design and implement database schemas and queries for complex domains — tracking, engagement, reporting
• Work with both structured and unstructured data for AI use cases
• Contribute to CI/CD pipelines, testing, and deployment automation
• Troubleshoot and optimize production systems
• Collaborate with cross-functional teams to deliver high-quality solutions
• Contribute to reusable frameworks and engineering best practices
• Prototype fast — move from concept to working demo in days, ship incrementally

What we’re looking for

• 5+ years of software engineering experience, strong focus on full-stack web development
• Expert in TypeScript and React — performance optimization, modern patterns (hooks, context, suspense), component architecture
• Production experience with Next.js — App Router, Server Components, API routes, SSR/SSG, edge deployment
• Hands-on experience with LLMs — prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns
• Experience with Vercel AI SDK — unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI
• Model Context Protocol (MCP) — building or consuming MCP servers for extensible AI tool use
• Strong backend fundamentals — Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth
• Solid database design — PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations
• Experience building scalable, distributed systems in cloud environments (AWS / Azure)
• Working knowledge of CI/CD, Docker, Kubernetes
• Familiarity with Tailwind CSS, Radix UI and modern component-driven UI development
• High agency — you operate independently in ambiguous environments, take ownership of problems, and drive them to completion
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, evolving environment
• Communicate effectively with both technical and non-technical stakeholders

Nice to have

• Experience building agentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)
• Experience with Vercel ecosystem — Next.js, AI SDK providers, Turbopack
• Background in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputs
• Experience with sandboxed execution environments for safely running AI-generated code
• Built research tools, experimentation platforms, or scientific software
• Proficiency with Python — FastAPI/Django, data pipelines, ML tooling
• Knowledge of observability tools (Grafana, Prometheus, Sentry, etc.)
• Experience building automation or internal platforms
• Familiarity with real-time features — WebSockets, streaming UX, collaborative interfaces
• Knowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAs
• Experience with alternate JS runtimes — Bun, Deno
• Built open-source tools or platforms with active user communities
• Strong quantitative foundation (math, physics, or related fields)

Representative Projects

Things you might build in this role:

• Interfaces for collecting and managing human feedback on model outputs at scale
• Experiment orchestration platforms — launch, monitor, and analyze complex AI research runs
• Visualization tools that help understand model behavior and identify failure modes
• Reusable components and frameworks that enable rapid development of new AI applications
• Sandboxed execution environments for safely running AI-generated code
• AI-powered personalization engines — tutoring, content generation, adaptive features
• Workflow builders that let non-engineers orchestrate AI capabilities visually
• Enterprise integrations — ServiceNow, Salesforce, Confluence, Jira

The Opportunity

If you've worked alongside hardware teams, you know the damage that results from a missed change request or critical context that was never relayed to the right person. Reflow exists to close that gap. We're building the first AI-powered platform purpose-built for hardware product development, one that listens across the tools teams already use, maintains a structured picture of every program, and proactively coordinates across disciplines when things inevitably change.

This is a ground-floor opportunity for a hands-on backend engineer to build the core services and AI infrastructure powering this platform, with the support of a parent company leading innovation in engineering and manufacturing.

Who We're Looking For

We're seeking a backend engineer who ships reliable, well-designed systems and takes ownership of the services they build. The ideal candidate has production experience with Python, FastAPI, and PostgreSQL, and is comfortable building everything from REST APIs to background task pipelines to AI agent infrastructure. You should already be using AI coding tools like Cursor, Copilot, or Claude to accelerate your work, with excitement about building the backend that powers the first AI-native platform for complex hardware development.

This senior engineer will work alongside our engineering team, AI researchers, and head of product to build the services that turn unstructured inputs (call transcripts, emails, documents, datasheets) into structured engineering artifacts (requirements, project plans, dependencies), orchestrate ambient AI agents for proactive coordination, and serve real-time project intelligence to users. The role is hands-on - you will be coding daily while contributing to system design decisions and helping establish backend engineering best practices as we grow.

What You'll Do

Your day-to-day responsibilities will include:

● Designing and implementing RESTful APIs with OpenAPI specs and auto-generated client SDKs using SQLAlchemy and Postgres

● Developing ingestion pipelines using Celery and Redis that connect to tools teams already use (file storage, messaging, email) and extract structured engineering artifacts from unstructured inputs

● Building and extending agentic AI workflows using LangChain, LangGraph, and related frameworks for structured data extraction, risk detection, dependency analysis, and proactive team coordination

● Integrating LLM APIs (Anthropic Claude, OpenRouter) with streaming (SSE), error handling, and cost optimization

● Deploying and operating services on GCP (Cloud Run, Cloud SQL, Memorystore) with Terraform

● Writing well-tested, maintainable code and participating in code reviews to establish engineering best practices

Technical Requirements

Must Have:

● 5+ years building production backend systems, with 3+ years in Python

● Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development

● Strong experience with FastAPI or similar async Python web frameworks

● Production experience with PostgreSQL, including schema design, migrations, and query optimization

● Hands-on experience with task queues and background processing (Celery, Redis, or similar)

● Understanding of API design, authentication patterns (OIDC/JWT), and service architecture

● Experience with containerized deployments (Docker) and CI/CD pipelines

● Ability to balance rapid iteration with maintainable, well-tested code

Highly Valuable:

● Have worked in early-stage 0 to 1 startup environments

● Production experience integrating LLM APIs (Anthropic, OpenAI, etc.) and building AI-powered features with agent orchestration frameworks (LangChain, LangGraph, or similar)

● Hands-on experience with GCP services (Cloud Run, Cloud SQL, Pub/Sub, Secret Manager) and Infrastructure-as-code experience with Terraform

● Experience with data ingestion pipelines and ETL workflows

● Background in B2B SaaS platforms, project management tools, or workflow automation products

● Understanding of hardware development, engineering workflows, or project management concepts (phases, gates, dependencies)

What We Offer

Real Impact: The opportunity to build purpose-built tooling for an entire industry that has never had it

Customer Access: Direct exposure to hundreds of real hardware projects annually through Re:Build's engineering and manufacturing companies

Technical Growth: Hands-on work with cutting-edge AI technologies solving novel technical challenges

Autonomy: Backed by Re:Build while operating with startup independence

Benefits: Full health/dental/vision, bonus program, generous 401K, paid time off, annual learning stipend

Equity & Growth: Participation in Re:Build's LTIP equity program and opportunity for founder equity in potential spin-out

Compensation & Location

Location: Remote-first, with preference for candidates in Boston, Seattle, Los Angeles, or other cities with Re:Build offices

Compensation: Base salary range of $165,000 to $215,000 with performance bonus and long-term incentive plan offered. Potential equity stake under independent spinout scenario.

Please note this role is restricted to US citizens or lawful permanent residents only due to exposure to export controlled information.

About Re:Build Manufacturing

Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We harness deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complementary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're using their combined

expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.

We want to work with people that reflect the communities in which we operate

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.

Primary Job Responsibilities:

• Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
• Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
• Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
• Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
• Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
• Ensure MLOps roadmap items are delivered on time and have exceptional quality
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
• Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
• Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
• Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
• 3+ years of experience in an engineering leadership role, managing globally distributed teams
• 6+ years of experience in hands-on development of Machine Learning algorithms
• 6+ years of experience in hands-on deployment of Machine Learning services
• 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
• 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
• Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
• Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
• Proficiency in GitOps and creation/management of CI/CD pipelines
• Demonstrated experience building and using SQL/NoSQL databases
• Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
• Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
• Ability to be a team player who can also work independently
• Experience working across multiple development teams is a plus
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days 

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend  

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $240,000-$300,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. 

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.

Primary Job Responsibilities:

• Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
• Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
• Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
• Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
• Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
• Ensure MLOps roadmap items are delivered on time and have exceptional quality
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
• Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
• Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
• Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
• 3+ years of experience in an engineering leadership role, managing globally distributed teams
• 6+ years of experience in hands-on development of Machine Learning algorithms
• 6+ years of experience in hands-on deployment of Machine Learning services
• 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
• 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
• Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
• Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
• Proficiency in GitOps and creation/management of CI/CD pipelines
• Demonstrated experience building and using SQL/NoSQL databases
• Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
• Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
• Ability to be a team player who can also work independently
• Experience working across multiple development teams is a plus
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days 

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend  

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $240,000-$300,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. 

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

As a Senior Gen AI Engineer, Salesforce Platform you will lead the development of AI-powered solutions across our Salesforce platform to streamline end-to-end business operations. Partnering with the Manager of Salesforce Operations and the Principal AI Architect, you will implement orchestrated AI agents using Salesforce Einstein, Agentforce, and DataCloud, and deliver secure, scalable solutions via Apex, Visualforce, Lightning Web Components, and robust APIs.

You will leverage generative AI to enhance efficiency, reduce manual work, and create smarter systems and workflows across our organization.  Candidates with a deep understanding of business operations and workflows are strongly preferred.  You will play a critical role in delivering AI solutions and frameworks that drive transformative business value.  This is a unique opportunity for full-stack development to experiment and solve for multiple use cases, as well as an opportunity to help educate business stakeholders on the power of AI solutions.

You will: 

• Design, develop, and deploy generative AI solutions that modernize business operations—automating workflows, surfacing insights, and delivering intelligent recommendations with a balance of speed, functionality, and long-term scalability.
• Build, integrate, and operationalize AI agents and automations using Salesforce Agentforce (skills, actions, orchestration, guardrails) embedded within Sales, Service, and CPQ workflows.
• Implement Einstein/Agentforce solutions, including prompt flows, tools, and custom actions grounded in Salesforce Data Cloud for personalized retrieval and contextual experiences.
• Develop and secure APIs (REST/SOAP, Platform Events, Pub/Sub) to connect Salesforce with internal and external systems such as CPQ, CLM, provisioning, licensing, ERP, and finance platforms.
• Engineer data interoperability across systems—collaborating with architects and data teams to break down silos, build ETL pipelines, and establish automated data workflows.
• Build and deploy retrieval-augmented generation (RAG) patterns within Salesforce, implementing data indexing, grounding, safety measures, and evaluation loops.
• Collaborate closely with the Principal Architect and Principal AI Engineer to translate high-level business objectives into production-ready AI-powered solutions, ensuring alignment with architectural and engineering best practices.
• Prototype rapidly to validate new generative AI use cases and transition successful proofs-of-concept into stable, scalable, maintainable production applications.
• Contribute to full-stack development efforts—from API design to front-end UI—when implementing AI features across various business systems.
• Drive and contribute to CI/CD pipelines, code reviews, and release management using modern tooling (SFDX, GitHub Actions, Azure DevOps, etc.).
• Ensure compliance, data security, and governance across all AI and integration solutions, including considerations for PII, data residency, consent management, and auditability.
• Partner with business stakeholders (technical and non-technical) to understand requirements, gather feedback, and continuously improve AI-driven capabilities.
• Work alongside data scientists and AI specialists to evaluate and optimize prompt strategies, fine-tune models, and implement organization-specific AI enhancements.
• Lead knowledge sharing and enablement, mentoring teams and fostering adoption of AI technologies throughout the organization.
• Monitor, evaluate, and iterate on AI solution performance to ensure quality, accuracy, and measurable business value.
• Stay current on industry advancements in AI, automation, and Salesforce innovation, integrating relevant learnings into the organization’s technology roadmap.

What We’re Looking For: 

• Bachelor’s degree in computer science, Engineering, or a related field.
• 8+ years of Salesforce engineering experience and 3+ years delivering AI or automation solutions at scale within enterprise environments.
• Proven success modernizing legacy Salesforce orgs and implementing scalable architectures across Sales Cloud, Service Cloud, and Revenue (CPQ).
• AI & Automation:
  • Hands-on experience with Salesforce Einstein, Agentforce, and Data Cloud; practical AI engineering skills in prompt design, tool calling, RAG/grounding, evaluation, guardrails, and observability.
• Technical Skills:
  • Apex, Lightning Web Components (LWC), SOQL/SOSL, and Visualforce (for legacy support).
  • Proficiency in Python for AI service development, including FastAPI/Flask APIs, evaluation scripts, and LLM endpoint integration.
  • Strong API design and integration experience with Salesforce (bi-directional, streaming, and external APIs).
  • CI/CD experience using SFDX and modern tooling (GitHub Actions, Azure DevOps, etc.).
  • Familiarity with Azure or AWS cloud environments.
• Data Architecture:
  • Experience designing and managing data across Salesforce, Data Cloud, and other business systems including identity resolution, data sharing, and segment activation.
• Operational & Business Acumen:
  • Skilled in process mapping, workflow design, and identifying operational inefficiencies to enable AI-driven improvements.
• Change Enablement:
  • Experience driving adoption and integration of AI solutions across business functions.
• Excellent communication and presentation abilities with technical and non-technical stakeholders, including executives.
• Strong problem-solving, analytical, and troubleshooting capabilities.
• Collaborative, consultative mindset with the ability to translate business needs into technical solutions.
• Comfortable working autonomously in fast-paced, evolving environments.
• Embodies the principles of the Ideal Team Player: humble, hungry, and smart.
• Certifications:
  • • Required:
      • Salesforce Certified Platform Developer I & II.
    • Preferred:
      • JavaScript Developer I, Platform App Builder, Salesforce Certified Data Cloud Consultant or Platform Data Architect, and Salesforce Certified Integration Architect.
      • Trailhead Superbadges or credentials (Agentforce, Apex Specialist, Data Cloud)

Pay Range: $154,300-216,000

Other compensation: Bonus Eligible 

Perks & Benefits:  

💻 Remote work 

✈️ Travel expected 4-8 times per year for company-sponsored events 

🩺 Medical, dental, vision, life, and disability insurance 

📈 401K retirement plan; flexible spending and health savings account 

🏝️ 15 days of paid time off + additional front-loaded personal days 

🏖️ 14 company-recognized holidays + paid volunteer days  

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave  

🌈 LGBTQ+ Health Services 

🐶 Pet insurance  

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/  

 Remote with Moderate Travel (4- 8 trips per year) 

This is a remote position, and does require occasional travel, typically between 4-8 times per year. All travel expenses will be covered in accordance with company policy. 

The ideal candidate should be comfortable balancing the independence of remote work with the collaborative opportunities offered by periodic in-person engagements. 

We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.