CrawlJobs Logo

Senior Software Engineer, Agent Platform

replit.com Logo

Replit

Location Icon

Location:
United States , Foster City

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

180000.00 - 260000.00 USD / Year

Job Description:

In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties. This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems.

Job Responsibility:

  • Build high-throughput backend applications and services, like streaming chat between user and agent.
  • Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time.
  • Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences.
  • Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP)

Requirements:

  • 5+ years professional experience in building backend services, systems and platforms
  • Someone who values simplicity and pragmatism—you think radically but ship incrementally.
  • Self-directed and comfortable working autonomously.
  • Collaborative and team-oriented with a strong sense of shared ownership.

Nice to have:

  • Experience across the full-stack.
  • Experience building AI powered tooling or products.
  • Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git.
  • Experience with event sourcing systems.
What we offer:
  • Competitive Salary & Equity
  • 401(k) Program with a 4% match
  • Health, Dental, Vision and Life Insurance
  • Short Term and Long Term Disability
  • Paid Parental, Medical, Caregiver Leave
  • Commuter Benefits
  • Monthly Wellness Stipend
  • Autonomous Work Environment
  • In Office Set-Up Reimbursement
  • Flexible Time Off (FTO) + Holidays
  • Quarterly Team Gatherings
  • In Office Amenities

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Software Engineer, Agent Platform

Senior Software Engineering Manager - Digital Engineering

Senior Engineering Manager of Digital Engineering responsible for leading back-e...
Location
Location
United States
Salary
Salary:
106605.00 - 260590.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
February 28, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of software development experience with focus on enterprise-level solutions and cloud technologies
  • 2+ years of experience leading large cross-functional project management initiatives including microservices, event-driven architectures, and streaming platforms like Apache Kafka
  • 2+ years of experience with Agile/Scrum practices
  • Bachelor's Degree in Computer Science or related field, or equivalent experience
Job Responsibility
Job Responsibility
  • Leading back-end engineering teams in creating exceptional member experiences
  • Identifying, prioritizing, and shaping complex enterprise initiatives with business stakeholders
  • Guiding teams of engineers in delivering digital services that enhance healthcare's cost transparency
  • Overseeing migration of data and services from legacy infrastructure to cloud
  • Integrating emerging AI and agentic technologies to improve offerings
  • Providing leadership, coaching, and strategic guidance to application development teams
  • Leading digital engineering teams responsible for back-end service development, data migration, micro-services, and emerging AI technologies
  • Influencing strategic roadmaps for future initiatives
  • Collaborating with business partners to ensure alignment with business initiatives and objectives
What we offer
What we offer
  • Affordable medical plan options
  • 401(k) plan with matching company contributions
  • Employee stock purchase plan
  • No-cost wellness screenings
  • Tobacco cessation and weight management programs
  • Confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, AI

As a Senior AI Engineer on our Core AI team, you will be a cornerstone of FloQas...
Location
Location
India , Pune
Salary
Salary:
Not provided
floqast.com Logo
FloQast
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of professional software engineering experience
  • 3+ years focused on building backend for production applications
  • Mastery of Python
  • Familiarity with some AI application frameworks, context engineering, and scalable system design for AI products
  • Expertise in designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
  • Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
  • Proven ability to lead tech product initiatives, establish technical standards and communicate complex system designs to both technical and business stakeholders
Job Responsibility
Job Responsibility
  • Architect and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
  • Design and implement our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
  • Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
  • Master context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
  • Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
  • Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer, Agentic

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
United States , Bellevue; Menlo Park; New York; Washington; Denver; Westlake; Chicago; Lake Mary; Clearwater; Gainesville
Salary
Salary:
146000.00 - 220000.00 USD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong technical expertise in software development, with understanding of agentic workflows—including reasoning loops, tool invocation, memory, and orchestration of autonomous AI agents
  • Hands-on experience using Large Language Models, including prompt engineering, fine-tuning, model distillation, and deploying optimized models (e.g. via DPO, PPO) into production environments
  • Proven ability to build and scale ML/AI systems, from experimentation to deployment—owning dataset generation, evaluation pipelines, A/B testing, and performance monitoring
  • Leadership and mentorship capabilities, with a track record of guiding complex technical projects and supporting the growth of teammates through code/design reviews and technical direction
  • Excellent communication and collaboration skills, with the ability to translate technical ideas into actionable plans and work effectively with cross-functional partners, including product and infrastructure teams
  • Innovation mindset and commitment to continuous learning and a bias toward action, staying at the forefront of ML/AI trends, agentic systems research, and best practices in tooling, safety, and evaluation
Job Responsibility
Job Responsibility
  • Design and create tools and workflows for agent development that support rapid prototyping—define agents, compose toolchains, and construct reasoning loops with minimal overhead
  • Build platform solutions to support scalable experimentation, synthetic dataset generation, and multi-agent evaluation across diverse tasks and domains
  • Develop feedback and optimization pipelines that incorporate both automated metrics and human-in-the-loop evaluation signals to fine-tune agent behavior
  • Implement and scale optimization techniques such as Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), and reward modeling to improve agent performance
  • Launch and support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring
  • Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems
What we offer
What we offer
  • Market competitive and pay equity-focused compensation structure
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Annual lifestyle wallet for personal wellness, learning and development, and more
  • Lifetime maximum benefit for family forming and fertility benefits
  • Dedicated mental health support for employees and eligible dependents
  • Generous time away including company holidays, paid time off, sick time, parental leave, and more
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
  • Bonus opportunities
  • Equity
  • Fulltime
Read More
Arrow Right

Senior Software Engineer, Cloud Transition

Atlassian is hiring a Senior Software Engineer for its Cloud Transition team in ...
Location
Location
United States , San Francisco
Salary
Salary:
146300.00 - 235000.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 6 years of experience in building cloud SaaS platforms in a dynamic environment
  • Strong experience in Java, microservices, and relational databases
  • Passionate about collaborating with customers and cross-functional teams
  • Experience in AWS and streaming technologies such as Kafka
  • Experience in test-driven development
  • Passion for engineering and operational excellence
  • Understanding of SaaS, PaaS, and IaaS industries with hands-on experience with public cloud offerings (e.g., AWS, GCP, Azure)
  • Fluency in any one database technology (e.g., RDBMS like Oracle or Postgres and/or NoSQL like DynamoDB or Cassandra)
  • Experience crafting and implementing well-tested, highly scalable, and performant microservices and/or other distributed systems
  • Practical knowledge of agile software development methodologies (e.g., XP, scrum)
Job Responsibility
Job Responsibility
  • Drive large, complex projects autonomously, from technical design to launch
  • Tackle complex architectural challenges, apply architectural standards, and start using them on new projects
  • Lead code reviews & documentation as well as take on complex bug fixes, especially on high-risk problems
  • Be an example for thorough, meaningful code reviews
  • Partner across engineering teams to tackle company-wide initiatives spanning multiple projects
  • Mentor junior members of the team
  • Develop platform capabilities to power customer-facing solutions/experiences such as migration assistants, App Migrations, and Routine Admin tasks (sandbox data clone, cloud-to-cloud data transformation, backup-restore)
  • Implement compliance initiatives across platform and product stacks ranging from cloud infrastructure to product experiences
  • Collaborate with Core Engineering, products, and platform teams on a large scale and high-reliability transformative architecture, including Kafka & Kafka Stream adoption
  • Ensure the adoption of world-class engineering and operational practices across teams
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Bonuses
  • Commissions
  • Equity
  • Fulltime
Read More
Arrow Right

Senior Backend Software Engineer

The Coaching team builds Highspot’s personalized, AI-enhanced coaching capabilit...
Location
Location
Canada , Vancouver
Salary
Salary:
146000.00 - 178000.00 CAD / Year
highspot.com Logo
Highspot
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science or equivalent practical experience
  • 5+ years of experience in back-end software development building and maintaining large-scale web applications
  • At least 3 years of experience working with object-oriented programming languages
  • Ruby and Python preferred
  • Experience architecting, building, and deploying mid-to-large scale web applications in a distributed environment
  • Strong understanding of API design, data modeling, and backend scalability
  • Experience integrating or working with AI/LLM platforms such as OpenAI, Anthropic (Claude), or Azure OpenAI
  • Familiarity with AI-powered development tools (e.g., Cursor, GitHub Copilot, Cody, etc.) and a demonstrated ability to incorporate them effectively into day-to-day workflows
  • Deep expertise in web performance, security, and reliability best practices
  • Proven ability to deconstruct complex technical problems and deliver elegant, maintainable solutions
Job Responsibility
Job Responsibility
  • Design, develop, and maintain high-quality, scalable, and user-centric backend systems using modern technologies
  • Architect and optimize backend infrastructure to power intelligent, AI-driven workflows and Agentic AI integrations
  • Build and maintain integrations with multiple large language models (LLMs) including ChatGPT, Claude, and other OpenAI and Microsoft models
  • Collaborate closely with AI/ML engineers to productionize agentic workflows and autonomous reasoning systems
  • Partner effectively with Product Management and UX Design to translate ideas and research into production-ready, AI-enhanced features
  • Leverage AI-assisted development tools such as Cursor, GitHub Copilot, and other code generation frameworks to accelerate development and improve code quality
  • Lead and mentor engineers through complex projects, emphasizing clean architecture, testing, and software craftsmanship
  • Drive backend infrastructure improvements that enhance reliability, observability, and performance
  • Collaborate cross-functionally to deliver differentiated customer value through AI and data-driven solutions
  • Troubleshoot and resolve critical production issues while contributing to internal documentation and best practices
What we offer
What we offer
  • Comprehensive medical, dental, vision, disability, and life benefits
  • Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP) with immediate vesting
  • Flexible PTO
  • Generous Holiday Schedule + 5 Days for Annual Holiday Week
  • Quarterly Recharge Fridays (paid days off for mental health recharge)
  • Flexible work schedules
  • Access to Coaches and Therapists through Modern Health
  • 2 Volunteer days per year
  • Monthly transportation allowance for employees that work in our Vancouver Hub location
  • Employees are eligible to receive stock options
  • Fulltime
Read More
Arrow Right

Senior Integrations Engineer, Enterprise Integrations & Agentic AI

We are seeking a Senior Engineer, Enterprise Integrations & Agentic AI to design...
Location
Location
United States , San Francisco; New York City; Austin
Salary
Salary:
227000.00 - 294600.00 USD / Year
airtable.com Logo
Airtable
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in integrations, software development, or systems engineering
  • Strong experience with integration/iPaaS platforms such as Workato, Zapier, Mulesoft, Hightouch, AWS, etc
  • Proficient in Python, cloud development (AWS or GCP), and handling large-scale data processing workloads
  • Deep hands-on expertise in integration architecture, API management, and data synchronization patterns (event-based, webhook, polling, etc.)
  • Experience with AI agent development, prompt engineering, and integration of LLMs into workflows
  • Experience with vibe coding—leveraging AI tools (e.g., Cursor, Bolt, Claude Code) to accelerate development velocity
  • Proficiency in working with Salesforce and Workday, including custom reports, calculated fields, and Workday Studio integrations
  • Solid understanding of integration security, data governance, and compliance practices
  • Strong understanding of authentication/authorization standards like OAuth 2.0 and SAML
  • Experience with data formats like JSON and XML and data transformation techniques
Job Responsibility
Job Responsibility
  • Design, build, and optimize scalable enterprise workflows using Workato, Hightouch and Workday Studio
  • Expand our integration stack by building hybrid solutions using Workato for workflow orchestration, and cloud-native services built using Python to handle complex logic and high-volume data processing
  • Own and evolve integration architecture that supports event-driven workflows, data syncs, and process orchestration across internal tools
  • Partner with Data and Infrastructure teams to manage real-time and batch data flows between systems, ensuring accuracy, resilience, and auditability
  • Apply agentic platforms (e.g. AgentForce, Workato Genie) to orchestrate multi-step automations using LLMs and other intelligent agents
  • Champion Airtable AI internally by building production-ready AI automations
  • Partner with business units, subject matter experts, and engineering teams to understand integration requirements, define architecture, and deliver resilient workflows
  • Document technical designs, maintain reusable components, and share best practices for future expansion
  • Bring strong technical judgment in selecting the right tools and patterns, ensure observability and monitoring are in place for integration health
  • Champion best practices that keep our integration layer reliable, maintainable, and future-ready
What we offer
What we offer
  • Benefits
  • Restricted stock units
  • Incentive compensation
  • Fulltime
Read More
Arrow Right

Software Engineer

Atlassian’s Grad++ program combines hands-on technical training, professional gr...
Location
Location
Canada , Burnaby; Vancouver; Richmond
Salary
Salary:
94500.00 - 123375.00 CAD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Programming & AI/ML Proficiency: Experience with Python, Java, or other modern object oriented languages, with exposure to AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and understanding of machine learning fundamentals
  • Software Engineering Experience: Proven development skills through internships, work experience, projects, or publications, including experience with APIs, cloud platforms, or AI-powered applications
  • Data & System Design: Strong understanding of data structures, statistical concepts, and familiarity with design patterns for modern systems including AI/ML architectural patterns (data pipelines, model serving, microservices)
  • Currently enrolled full time in a [degree and major type] program and are graduating by [date].
Job Responsibility
Job Responsibility
  • Build Production-Ready Features: Develop scalable code for Atlassian's products (Jira, Confluence, Trello) used by millions of teams worldwide, contributing to reliable systems that power global collaboration
  • Own End-to-End Projects: Take ownership of features from design through deployment, including implementation, testing, and monitoring in production environments
  • Collaborate in Agile Teams: Work closely with senior engineers, product managers, and designers using Agile methodologies and lean practices to deliver impactful solutions
  • Innovate with AI/ML Technologies: Contribute to AI-powered features and integrations, working with modern frameworks, agentic systems, and intelligent automation capabilities
  • Solve Complex Technical Problems: Tackle challenging issues related to distributed systems, data processing, and user experience optimization while using data-driven insights to validate assumptions and improve products.
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • Fulltime
Read More
Arrow Right

Senior Agentic AI Developer

Senior Agentic AI Developer to build production-grade autonomous agents and orch...
Location
Location
United States , San Francisco
Salary
Salary:
156000.00 - 234000.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems
  • Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
  • Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
  • Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
  • Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
  • Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
  • Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
  • Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
  • Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
  • Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices
Job Responsibility
Job Responsibility
  • Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
  • Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
  • Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
  • Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
  • Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
  • Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
  • Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
  • Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
  • Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
  • Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems
What we offer
What we offer
  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
  • Community Engagement: Make a difference through our volunteering program
  • Fulltime
Read More
Arrow Right