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Added 9 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Boise, ID
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 14 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Juneau, AK
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 2 hours ago
Senior Applied AI Engineer
Jobgether
Remote, United States
…development of production-grade AI capabilities. You will work across agentic workflows, large language models, retrieval systems, and autonomous business processes to build intelligent,…
Added 4 hours ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
UNAVAILABLE · Richland, WA
- $133,100 USD / year
Lakehouse Architecture & Data Engineering: Design and build scalable Databricks lakehouse solutions using Medallion Architecture, Delta Lake, Unity Catalog, Spark/PySpark, Python, and SQL.
Added 6 hours ago
Senior Software Engineer (Agentic)
CCC Intelligent Solutions Inc.
Remote, United States
…work, claims move faster and the machinery stays invisible. Agentic coding tools are how you move fast. What you add is what they are worst at: distributed-systems design, correctness when…
Added 6 hours ago
Senior AI Engineer
CCC Intelligent Solutions Inc.
Remote, United States
Own the delivery of LLM-powered systems in Python and TypeScript, from an ambiguous customer problem, scoped with product managers and data scientists, through production operation.
Added 6 hours ago
AI Engineer
CCC Intelligent Solutions Inc.
Remote, United States
Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the…
Added 6 hours ago
AE
Sr Software Engineer I - Enterprise Architecture
American Express
Phoenix, AZ
- $123,000 to $215,250 USD / year
Experience in ML, Cognitive OCR, Agentic AI automations driving cost savings.
Added 7 hours ago
Sr. Director, AI Software Engineering & Integrations
Sunbelt Beverage Company, LLC
United States
…modern, cloud-native ecosystem powered by SAP S/4HANA, Snowflake, AWS, and next-generation AI…
Added 7 hours ago
Cyber Defense Full Stack Engineer
BAE Systems
El Paso, TX
Job Description The BAE Systems Office of the CISO is looking for a SecOps-inspired full stack developer with a focus on AI agentic engineering. This developer will solve complex cyber…
Added 7 hours ago
Cybersecurity engineer senior, Identity and Automation
Starbucks Coffee Company
Seattle
Engineer secure identity integrations for enterprise applications, AI assistants and agentic tools. Configure application and workload identities, API permissions, consent and access…
Added 8 hours ago
Sr Manager, Applied Science, AWS Compliance & Security Assurance
Amazon Web Services, Inc.
Seattle, WA · New York, NY
AWS Compliance, Security and Assurance (CSA) builds the technology that proves Amazon's compliance and security to the auditors, regulators, and customers who demand it, and that screens…
Added 8 hours ago
Security Engineer II, Security Platform
Remitly, Inc.
United States
Strength in software engineering, cloud security, and agentic development, combined with curiosity and a habit of teaching yourself new tools, will be part of your success in this role. We…
Added 8 hours ago
Security Engineer II, Corporate Security
Remitly, Inc.
United States
Proficiency in a language like Python or Golang, and experience building automation that detects risk or speeds up response.
Added 8 hours ago
SI
Senior Software Engineer, Site Reliability (Agentforce Ops)
Salesforce, Inc.
CA · MA · NY · WA · VA
- $148,500 to $246,000 USD / year
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 8 hours ago
SI
Principal Software Engineer, Site Reliability (Agentforce Ops)
Salesforce, Inc.
Remote, United States
- $197,300 to $344,700 USD / year
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…
Added 9 hours ago
Product Architect – Senior Manager
PricewaterhouseCoopers Advisory Services LLC
NY · Washington, DC · Cleveland, OH · Dallas, TX · Philadelphia, PA · Portland, OR · Houston, TX
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Added 9 hours ago
NJ
AI Supervisor (Administrative Supervisor 4)
New Jersey Courts
Trenton, NJ
- $85,524.22 to $138,623.68 USD / year
…and supporting innovative web-based application solutions in python or JavaScript/react is desired. This position calls for a technical leader with enterprise grade AI solutions, knowledge,…
Added 9 hours ago
Agentic AI Engineer, Senior
Deloitte
Boston, MA
AWS: Amazon Bedrock (foundation models, model evaluation, and agent orchestration); Knowledge bases (retrieval, metadata filtering, re-ranking), Guardrails, Prompt Flows, and RAG pipelines…
Added 9 hours ago
Agentic AI Engineer, Senior - Anthropic/Claude
Deloitte
Boston, MA
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers…
Added 9 hours ago
Agentic AI Engineer - Anthropic/Claude
Deloitte
Boston, MA
Agentic AI is moving from experimentation to production, and organizations everywhere are racing to figure out how to build it responsibly and at scale. We're growing a team of engineers…
Added 9 hours ago
A
Trading, Investment & Optimization - QuantAI Full Stack Manager (Hybrid)
Accenture
Boston, MA
- $87,400 to $253,000 USD / year
QuantAI sits between quantitative research, agentic engineering, product delivery, and client-facing transformation inside Accenture's Industry and Enterprise Reinvention aimed at servicing…
Added 9 hours ago
Lead Integration Engineer II
Deloitte
Boston, MA
AI & Agentic Integration: Utilize AI features (e.g., Boomi GPT, MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues.
Added 9 hours ago
Principal Applied AI Solutions Architect, Amazon Connect
Amazon
Boston, MA
Integration Development: Build serverless integrations using AWS Lambda, API Gateway, Step Functions, and scripting (Python, Node.js) to connect Amazon Connect AI agents with customer data…
Added 9 hours ago
Agentic AI Engineer
Kelly Services
Webster, MA
Join MAPFRE as an Agentic AI Engineer (Insurance & Agentic Workflows) in Webster, MA or the Greater Boston area. This is a full-time hybrid opportunity focused on designing, building, and…

CCC Intelligent Solutions Inc.

AI Engineer

Remote, United States

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Job details

Experience: 3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production.
Posting language: English
Posted: Oct 29, 2026

Original job description

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.

The Role CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.

The Role:

You will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. You own features end to end.

Key Responsibilities:

Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the metrics you will be measured against.
Write the evals, guardrails, and feedback loops that make your features trustworthy, and hold them to explicit token and latency budgets.
Use agentic coding tools every day, and own the review of what they produce: catch the correctness, security, and design problems in generated code before you open the pull request.
Maintain and extend the NLP pipelines that turn unstructured claim data into structured data customers can act on, blending semantic search, classical NLP, and LLMs.
Build and operate durable, event-driven services in which agents run as steps inside deterministic workflows, with checkpointed model outputs so a retry does not re-invoke a completed LLM step.
Trace every model call and agent step so a recommendation can be reconstructed and audited, with citations back to the source documents, and wire that tracing into your alerts.
Model and query claims data across relational, document, and graph stores.
Design privacy and security in from the start: tenant isolation, least-privilege access for agents and their tools, and a clear rule for what data may reach a model provider.
Write a technical design document before any significant change, and use it to get feedback and buy-in from the team before you build.
Take part in a shared on-call rotation for the services you build.

Requirements:

3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production.
Python and TypeScript: typed, tested, async code in both, and real depth in one.
Evals you have designed for LLM output, plus guardrails you have shipped.
A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work.
Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM.
Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one.
Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made.
Backend services built and operated on Azure or AWS, and exposure to a durable workflow engine such as Temporal or the Durable Task Scheduler.
Technical design documents you have written to get feedback and buy-in from a team before building, and that the team then built to.
Clear writing and discussion for technical and non-technical audiences, and code review you can give as well as take.

Even Better if You Have:

React and TypeScript experience, so you can deliver a full-stack feature end to end. Chat, streaming, and citation-heavy AI experiences especially.
Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep.
Experience with agent frameworks, LangGraph and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices.
Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing.
Experience designing A/B tests for AI features, or what-if simulations that replay historical claims through a proposed change before it ships.
Exposure to the insurance, claims, or automotive repair domains.

What Success Looks Like:

In your first six months you ship an LLM-powered feature, its evals run in CI, and you can name the metric it moved.
When a model migration or prompt change causes a regression, the evals you wrote catch it before a customer does.
You take ownership from concept to production with light direction, asking the right questions early.
You care that things hold up: the services you build survive retries, partial failures, and model migrations without incidents a customer can see.
When something goes wrong in production, the trace tells you which step and which model call, and you can show an auditor the same thing.
Privacy and security reviews of your features find nothing that was not already designed in.
You enjoy the craft, and it shows: engineers pick up your patterns without being told to.
You enjoy the back-and-forth that gets a feature scoped, and you can argue a position without needing to win it.
You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued.

Interview Policy & Privacy Notice:

A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.

About CCC's Commitment to Employees:

CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.

At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.

CCC offers competitive compensation and benefits to support you and your families, including:

401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups

For more information about our benefits, please check out our careers site.

Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

If you require reasonable accommodation to complete a job application, please contact (800) 621-8070.

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