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Evolve Claim Solutions Jobs (NOW HIRING)

Patlytics

AI Engineer

New York, NY · On-site

... to build and evolve the (your company's platform, product, solution, etc.) * Work with large ... You can read a patent claim and not immediately give up. You're curious about domain knowledge and ...

INPRODUCTION INC

Freight Coordinator

Las Vegas, NV

$17.25 - $22.75/hr

... Solutions to become today?s InProduction. These acquisitions have allowed InProduction to evolve ... There will also be some fleet and driver maintenance and claim handling as well. This position is ...

INPRODUCTION INC

Freight Coordinator

Las Vegas, NV

$17.50 - $23.25/hr

... Solutions to become todays InProduction. These acquisitions have allowed InProduction to evolve ... There will also be some fleet and driver maintenance and claim handling as well. This position is ...

Fuze Health

OR

$110K - $138K/yr

We are dedicated to helping our partners evolve and modernize to meet emerging patient and ... Claim Adjudication & Appeals: Manages the resolution of rejected claims, submits appeals for denied ...

Assured

Staff Security Engineer

Palo Alto, CA · Remote

... solutions they need to win in a modern, technology-driven world. From self-service claim-filing ... evolve the bug bounty program, including triage, response processes, and improvements to ...

Assured

Principal Product Manager, LOB

Palo Alto, CA · Remote

... solutions they need to win in a modern, technology-driven world. From self-service claim-filing ... evolve reusable platform capabilities. You'll balance speed with strategy, knowing when to move ...

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Evolve Claim Solutions information

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How much do evolve claim solutions jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for evolve claim solutions in the United States is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.67 per hour, depending on experience, location, and employer.

What are Evolve Claim Solutions?

Evolve Claim Solutions is a company that specializes in providing claims management services for insurance companies. They offer a range of solutions, including adjusting property and casualty claims, catastrophe response, and desk adjusting services. Their goal is to streamline the claims process, improve efficiency, and provide high-quality customer service for both insurers and policyholders. Evolve Claim Solutions employs experienced adjusters and utilizes modern technology to handle claims quickly and accurately.

What is the difference between Evolve Claim Solutions vs Claims Adjuster?

AspectEvolve Claim SolutionsClaims Adjuster
CertificationsTypically requires licensing and certifications like state adjuster licensesRequires similar licenses, often state-specific
Work EnvironmentRemote or office-based, handling insurance claims for clientsField or desk-based, investigating and settling insurance claims
Industry UsageInsurance industry, third-party claims managementInsurance industry, claims assessment and settlement

Both roles involve insurance claims, but Evolve Claim Solutions often provides third-party claims management services, while Claims Adjusters directly investigate and settle claims. The roles share similar certifications and work environments, making them closely related in the insurance industry.

What types of claims does Evolve Claim Solutions typically handle, and how does this affect the daily responsibilities of team members?

Evolve Claim Solutions primarily manages property and casualty insurance claims, often related to homeowner, commercial, and catastrophe events. As a team member, you may be responsible for tasks such as reviewing documentation, coordinating with policyholders, and working closely with adjusters and contractors to resolve claims efficiently. The role often requires strong communication skills and adaptability, as you'll collaborate with both internal teams and external partners to ensure claim resolutions meet industry standards. The fast-paced environment provides valuable experience in claims management and offers opportunities for professional growth within the insurance sector.

What are the key skills and qualifications needed to thrive as a Claims Adjuster at Evolve Claim Solutions, and why are they important?

To thrive as a Claims Adjuster at Evolve Claim Solutions, you need a thorough understanding of insurance policies, investigative techniques, and claims management, typically backed by relevant licensure and experience. Familiarity with claims management software, estimating tools like Xactimate, and knowledge of industry regulations are essential. Strong analytical thinking, negotiation skills, and effective communication set top performers apart in this role. These skills ensure accurate claim resolution, customer satisfaction, and adherence to regulatory standards.
Infographic showing various Evolve Claim Solutions job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $39,863 per year, or $19.2 per hour.

AI Engineer

Patlytics

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

About Patlytics:
Patlytics is the fastest-growing AI-native patent intelligence platform, transforming how IP is protected and monetized at scale. Our advanced LLMs and generative AI engine-custom-built for intellectual property-power every phase of the patent workflow from invention disclosure through litigation, delivering citation-backed insights with unprecedented accuracy and speed.
Fresh off our $40M Series B - led by SignalFire, with participation from N47, Myriad Venture Partners, Liquid 2 Ventures, BAM Corner Point, Alumni Ventures, Antiportfolio Ventures and Relativity- allows us to triple down on the product, accelerate growth globally, hire future mission-aligned colleagues, and to continue redefining what is possible for our customers. - we're scaling fast across product, engineering, and go-to-market. If you want to build at the inflection point, this is it.
With teams across the globe we're building a global company fueled by exceptional talent and bold ideas. Our rapid expansion is driven by people who bring entrepreneurial energy, intellectual curiosity, and a shared commitment to setting the global standard for AI-powered IP intelligence. We're creating a culture where diverse perspectives shape breakthrough innovation and every voice contributes to transforming how the world protects ideas.
We hire for trajectory, not just credentials. If you're 70% of this list and hungry to close the gap, apply.
As an AI Engineer, you'll:
  • Develop and deploy robust, scalable AI/ML algorithms for cutting-edge IP applications
  • Design, implement, and iterate on multi-step LLM pipelines for patent claim analysis, infringement detection, and prior art search, including the model selection, prompt architecture, and structured output contracts that define product quality
  • Build and maintain a rigorous evals framework: define success metrics per pipeline stage, curate golden datasets from real IP cases, and run continuous regression testing to catch degradation before users do
  • Develop retrieval systems (vector search, BM25 hybrids, re-ranking) optimized for patent corpus characteristics, long documents, technical claim language, biological sequence identifiers
  • Architect and ship agentic workflows within our Agent layer, coordinating tool use, memory, and multi-turn reasoning over complex IP research tasks
  • Develop data classification techniques and post-training on the latest LLMs
  • Collaborate with patent attorneys and domain experts to encode expert judgment into prompts, rubrics, and fine-tuning datasets, then measure whether it worked Own cost, latency, and quality tradeoffs for production inference: prompt caching strategies, context window management, batching, and model migration planning on AWS, GCP and other LLM providers.
  • Partner with a highly talented cross functional group of researchers, applied scientists, engineers, and product managers to build and evolve the (your company's platform, product, solution, etc.)
  • Work with large, complex data sets, solve difficult, non-routine analysis problems, and apply advanced analytical methods as needed
  • Partner with the Leadership Team to align development strategies with key product requirements and long-term technical roadmap
  • Build tools to monitor data pipeline performance, data quality and models in production
  • Perform unit testing, profiling, and parameter tuning
  • Collaborate with data engineers & platform team to implement data pipelines and robust production real-time and batch decisioning solutions
  • Lead ongoing R&D of new technologies, data sources and data science & optimization tools
  • Improve existing machine learning methodologies by developing new sources and testing enhancements, running computational experiments, and fine-tuning parameters

That said, these responsibilities are just the beginning! As we continue to grow, we encourage you to contribute wherever you observe opportunities in the business that align with your interests.
About you:
  • You've shipped LLM-powered features that real users depend on, not just demos or side projects. You have a track record of turning prototype prompts into production pipelines with monitoring and fallbacks
  • You think in evals first. Before writing a prompt, you ask 'how will we know if this is better?' and you build the scaffolding to answer that question rigorously
  • You're comfortable with ambiguity at the model layer. You know that Claude, GPT, and Gemini make different tradeoffs, and you've developed intuition for when to switch, fine-tune, or route between them
  • You write solid Python and have enough backend instincts to own a service end-to-end: API design, data pipelines, async processing, and observability
  • You can read a patent claim and not immediately give up. You're curious about domain knowledge and willing to become a genuine expert in IP reasoning over time
  • You have a strong technical background building ML & AI pipelines
  • You have great understanding of ML methods and statistics, including ML project lifecycle and associated challenges at each stage of development
  • Experience deploying, monitoring and maintaining data science products in cloud environments such as AWS and GCP.
  • Solid understanding of data transformations and analytics functions using tools/languages like (Pandas, Sklearn, SQL, Spark, etc.)
  • Familiarity with database modeling, data warehousing principles and SQL

If you don't meet 100% of the above qualifications, you should still consider applying. Studies show that you can still be considered for a role if you meet just 50% of the position's requirements.
We offer:
  • Comprehensive health coverage - Medical, dental, vision, plus FSA, commuter benefits, and health advocacy through Rightway
  • Mental health & wellness support - Access to Spring Health and Headspace, plus "Mental Escape Days" to recharge when you need it
  • Immediate 401(k) enrollment - No waiting period to start saving for your future
  • Generous time off - Unlimited PTO, 12 paid company holidays, plus a full week off during our Holiday Break
  • Family-first policies - Paid parental leave to support you during life's biggest moments
  • Invest in yourself - Professional development budget, gym membership stipend, and learning opportunities
  • Celebrate what matters - Birthday and work anniversary recognition, plus generous employee referral bonuses
  • Hybrid work environment (open to remote pending location), while staying connected with a passionate and talented team

Apply