Experience level: Senior### Job SummaryDiscover how to best rewrite and optimize your resume for this specific job. You'll receive personalized suggestions and detailed guidance to highlight your key strengths, effectively address the job requirements, and make your application more compelling to recruiters and hiring managers.After analyzing your resume, I can provide several recommendations to better position yourself for this role. Your background in software development shows strong technical skills, particularly in Java and Python development. However, for this Senior Backend Developer position, I notice there could be more emphasis on your experience with microservices architecture and cloud technologies, which are key requirements for this role. I recommend highlighting specific projects where you utilized these technologies and quantifying your achievements to demonstrate impact...Understand your compatibility with this specific job opportunity. Our detailed analysis will assess your resume against the role's requirements, providing insights into your potential fit, key skill alignments, and areas you might need to develop to be a strong candidate.After assessing your resume against the job requirements, here's a summary of your fit: 1. **Overall Match:** Moderate Fit (Approx. 65-70%). Your resume shows good alignment with several core responsibilities for the Project Manager role, especially your experience in agile methodologies and stakeholder communication. 2. **Key Strengths:** Your PMP certification and proven track record in delivering projects on time are strong assets for this position. 3. **Potential Gap:** The role specifies experience with 'XYZ specific software', which is not explicitly mentioned in your resume. If you have this experience, ensure it's highlighted. 4. **Recommendation:** Consider adding a quantifiable achievement related to budget management, as this is often a key metric for PM roles...At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple – we strive *to **bend the cost curve in healthcare*** for all. Our dedication to service excellence extends to all our stakeholders – internal and external – driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!**JOB SUMMARY:**We are building the next generation of AI-driven solutions to transform healthcare and beyond. We are seeking Senior Applied Scientist to join our Agent Foundation team. This team builds the foundational agentic systems that power downstream business applications. You’ll work at the intersection of applied ML research and system design, developing intelligent, reliable, and business-driven agents that make a tangible impact. This role requires strong software engineering and system design skills, that are essential to build working, production-grade agents. If you’re excited by the challenge of building practical AI systems using LLMs, agent frameworks, vector databases, tools, MCP and so on, we’d love to hear from you.## Job Roles and Responsibilities:The Senior Applied Scientist – Agent Foundation Team is responsible for designing, developing, and deploying agentic AI systems that power downstream use cases. This role blends applied AI Agent research, system design, and hands-on coding to create scalable agent workflows. Acting as a “product scientist for agents,” the Senior Applied Scientist ensures that new techniques and experiments translate into production-grade capabilities. They will collaborate with engineering, product, and business stakeholders to deliver solutions that are both scientifically rigorous and practically impactful.1. Research, design, and implement agentic workflows and LLM-driven systems tailored to business use cases.2. Apply deep expertise in machine learning, deep learning, and LLMs/ SLMs to advance core agent capabilities.3. Design system architectures for agent workflows (multi-step reasoning, tool use, memory, external integrations).4. Build prototypes and pipelines using modern agent frameworks (LangChain-Langgraph, LlamaIndex, Autogen, Agno, n8n etc.).5. Collaborate with product managers and engineers to scope problems, align with business goals, and define measurable outcomes.6. Develop experimental designs, evaluation harnesses, and monitoring methods to measure agent reliability, latency, and quality.7. Translate ambiguous business needs into structured scientific investigations and deliver data-driven insights.8. Author high-quality, production-leaning code that demonstrates both scientific rigor and software reliability.9. Stay current with advances in generative AI, LLMOps, and agentic architectures, applying them to solve practical challenges.10. Mentor peers in applied science best practices, experimentation, and evaluation.11. Ensure compliance with HIPAA regulations and requirements when handling sensitive healthcare data.12. Demonstrate Company’s Core Competencies and values held within.**Qualifications****JOB REQUIREMENTS (Education, Experience, and Training):*** 4–6 years applied AI/ML science experience with production impact.* 1-2 years of applied Gen AI and Agent building experience.* Strong system design expertise in architecting agentic workflows (reasoning, tool use, orchestration, memory).* Proficiency in Python, Agent Frameworks (Langchain-Laggraph, Autogen, Agno, n8n etc.), SQL and strong software engineering practices.* Proficiency in RAG (Retrieval Augmented Generation) pipelines, and integrating RAG, memory, tools, MCP (Model Context Protocol) etc. for agent workflows.* Solid foundation in ML theory: optimization, statistics, probability, deep learning.* Experience building evaluation pipelines for LLM/agent performance (accuracy, reliability, latency).* Familiarity with LLMOps practices (prompt engineering, retrieval augmentation, fine-tuning, monitoring).* Product mindset — ability to align applied science work with business value.* Proficiency in using AI Coding agents like Github Copilot, OpenAI Codex etc.* Excellent communication and cross-functional collaboration skills.* Master’s degree in Computer Science, Machine Learning, Data Science, or related field; Ph.D. preferred.**COMPENSATION**The salary range for this position is $160K to $180K. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity.**BENEFITS**We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.Your benefits will include:* Medical, dental and vision coverage with low deductible & copay* Life insurance* Short and long-term disability* Paid Parental Leave* 401(k) + match* Employee Stock Purchase Plan* Generous Paid Time Off – accrued based on years of service + WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service* 10 paid company holidays* Tuition reimbursement* Flexible Spending Account* Employee Assistance Program* Sick time benefits – for eligible employees, one hour of sick time for every
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