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Llamaindex Jobs in Oregon (NOW HIRING)

Solution Consultant

OR · On-site +1

$125K - $155K/yr

LangChain/LlamaIndex; Pinecone/Qdrant/FAISS). * Experience with demo automation/analytics tools (e.g., Consensus) and conversational intelligence (e.g., Gong). * Background in Strategic Response ...

Validated experience building sophisticated agentic and multi-agent AI systems using orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK -including tool-using ...

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Experience with agentic AI frameworks or orchestration tools such as LangChain, LlamaIndex, AutoGen, or MCP based patterns * Experience with cloud platforms such as Azure, AWS or GCP beyond basic ...

Solution Consultant

Myrtle Point, OR · Remote

$125K - $155K/yr

LangChain/LlamaIndex; Pinecone/Qdrant/FAISS). * Experience with demo automation/analytics tools (e.g., Consensus) and conversational intelligence (e.g., Gong). * Background in Strategic Response ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Experience with agentic AI frameworks or orchestration tools such as LangChain, LlamaIndex, AutoGen, or MCP based patterns * Experience with cloud platforms such as Azure, AWS or GCP beyond basic ...

$40/hr

Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building and deploying AI Agents to automate data processing and analysis tasks * Participate in code ...

Showing results 21-30

Llamaindex information

What is LlamaIndex?

LlamaIndex is an open-source data framework that helps developers connect large language models (LLMs) to various data sources. It provides tools to ingest, organize, and query data, making it easier for LLMs to retrieve relevant information from documents, databases, APIs, and more. LlamaIndex streamlines the development of LLM-powered applications by managing data pipelines and facilitating efficient, context-aware interactions with external or private data. This enables more useful, accurate, and customizable AI solutions for a wide range of use cases.

How does a LlamaIndex engineer typically collaborate with data scientists and other team members during the development of AI-driven applications?

A LlamaIndex engineer often works closely with data scientists, product managers, and software engineers to design and implement robust data pipelines for large language model (LLM) applications. Collaboration usually involves regular meetings to align on data requirements, model performance metrics, and integration points. Engineers are responsible for ensuring data is efficiently indexed, accessible, and up-to-date, while also providing technical insights to optimize retrieval and performance. Effective communication and teamwork are key, as projects are often cross-functional and iterative, requiring ongoing feedback and adaptation.

What are the key skills and qualifications needed to thrive as a LlamaIndex engineer, and why are they important?

To thrive as a LlamaIndex Engineer, you need strong programming skills in Python, experience with data structures, and a solid understanding of information retrieval concepts, typically supported by a degree in computer science or a related field. Familiarity with LlamaIndex's framework, knowledge of vector databases (like FAISS or Pinecone), and experience with machine learning libraries are commonly required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and building scalable data solutions. These skills ensure the delivery of efficient, reliable systems that support advanced data indexing and retrieval tasks.

What is the difference between Llamaindex vs Data Analyst?

AspectLlamaindexData Analyst
Required credentialsTypically requires knowledge of data management, APIs, and AI toolsBachelor's degree in statistics, mathematics, or related field; often requires certifications in data analysis
Work environmentTech companies, AI startups, data-driven organizationsBusiness, finance, healthcare, and other industries with data needs
Employer and industry usageUsed by organizations integrating AI and data indexing solutionsCommon in industries analyzing large datasets for insights
Search and comparison intentUnderstanding AI data tools vs traditional data analysis rolesComparing AI-driven data indexing tools with traditional data analysis

While Llamaindex focuses on AI-powered data management and integration, Data Analysts primarily interpret and analyze data to inform business decisions. Both roles require data literacy but differ in technical focus and work environment.

What are popular job titles related to Llamaindex jobs in Oregon?

For Llamaindex jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Llamaindex jobs?

Cities in Oregon with the most Llamaindex job openings:

Infographic showing various Llamaindex job openings in Oregon as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution.

Solution Consultant

Responsive

OR • On-site, Remote

$125K - $155K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Job description

About Responsive
Responsive, formerly RFPIO, is the market leader in a growing category of SaaS solutions called Strategic Response Management. More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon, Visa and Zoom, are using the Responsive platform to manage business critical responses -including bids, questionnaires, assessments, and trust centers - that impact nearly half of a company's revenue. More than 35% of cloud SaaS leaders and more than 20 of the Fortune 100 standardize on Responsive, and the company has been voted "best in class" by G2 for 24 quarters straight. Customers have used Responsive to close more than $750B in transactions to-date. To learn more, visit responsive.io.
About the Role
Responsive is hiring a driven Solutions Consultant who blends master-level storytelling with deep technical credibility in Generative AI and Agentic AI. You'll partner with Account Executives and Account Managers to win new logos and drive expansions, translating complex requirements into clear business value, compelling demos, and disciplined Proofs of Concept (POCs).
Essential Functions
Win & Orchestrate Deals
  • Own the technical sales motion from discovery through close across new logo and expansion opportunities; build deal strategy jointly with sales using MEDDPICC.
  • Lead business-value storytelling that resonates with executives and practitioners; translate requirements into value hypotheses and measurable success criteria.

AI & Agentic AI Technical Proof
  • Design and deliver credible AI proofs-prompting strategies, retrieval-augmented generation (RAG), agentic workflows, tool use/orchestration, and evaluation-while addressing safety, privacy, governance, and model drift.
  • Explain model choices and trade-offs (e.g., OpenAI/Anthropic/Vertex/Bedrock), embeddings/vector stores (e.g., Pinecone/Qdrant/FAISS), and guardrails against prompt injection and data leakage.

Demo Excellence & Time-to-Prove
  • Deliver compelling first- and second-call demos and tailor deeper technical sessions by segment (SMB/MM) use self-guided demo "leaves" and analytics to shorten time-to-prove.
  • Partner with Demo Engineering/Programs to keep environments and test-data fixtures reliable and reusable; log breakage and drive continuous improvement.

POC Governance & Conversion
  • Scope POCs with clear acceptance criteria, timelines, and success metrics; manage stakeholders, risk, and ROI to maximize POC→close conversion.

Expansion & Value Realization
  • Support sellers on expansion plays by diagnosing adoption gaps, quantifying impact, and positioning roadmap/AI capabilities to unlock additional value.

Cross-Functional Collaboration
  • Bring structured field feedback to Product and PMM; influence roadmap and messaging with evidence from enterprise evaluations and POCs.

Metrics & Execution
  • Improve time-to-qualified demo and overall deal conversion %, increase demo reuse rate, and maintain accurate technical stages and risks in forecast

Qualifications
Required
  • Master storyteller and value seller with strong command of MEDDPICC; able to connect technical depth to executive-level outcomes.
  • 1-3 years of presales experience in enterprise SaaS as a Solutions Consultant/Sales Engineer, successfully closing complex deals.
  • Hands-on Generative AI & Agentic AI expertise: prompting, RAG patterns, agent/tool orchestration, evaluation, and risk/safety controls; able to whiteboard architectures and trade-offs.
  • Demonstrated excellence designing and delivering tailored demos and POCs; disciplined in scoping, acceptance criteria, and success metrics.
  • Comfort with cloud and enterprise SaaS contexts (e.g., AWS/Azure/GCP; data residency; SOC 2/ISO 27001; GDPR).
  • Collaborative, data-driven operator who inspects pipeline, documents technical risks, and executes with urgency.

Preferred
  • Fluency with LLM platforms and tooling (e.g., OpenAI/Anthropic/Vertex AI/Bedrock; LangChain/LlamaIndex; Pinecone/Qdrant/FAISS).
  • Experience with demo automation/analytics tools (e.g., Consensus) and conversational intelligence (e.g., Gong).
  • Background in Strategic Response Management, proposal/RFP automation, or adjacent content/knowledge workflows.
  • Bachelor's degree in a technical or quantitative field (e.g., CS/Engineering/Information Systems) or equivalent experience.

Additional Information
What We Offer
Responsive uses a market-based compensation philosophy. A candidate's starting base salary will be determined by the specific responsibilities of the role, as well as job-related skills, experience, qualifications, location, and current market trends. The compensation range for this role is $125,000 - $155,000 On-Target Earnings (base + variable), depending on experience and location. Our recruiting team will provide details on the applicable range based on your location during the hiring process. Responsive embraces a global flexible workforce model with offices across the USA, India and Europe. This U.S. based role is remote and is not eligible for visa sponsorship.
In addition to a competitive compensation package, Responsive also offers the following benefits:
Flexible remote work
401k with company matching
Unlimited professional development and ongoing learning through LinkedIn Learning Solutions
4 weeks of paid vacation, paid sick days, and paid bereavement
4 week sabbatical after 5 years of service
Mental Wellness Program (EAP) to support your well-being and self-care
♥ Best-in-class health benefits, company paid for employee and company contribution for family coverage
At Responsive, our values are the foundation of who we are-and we're equally committed to cultivating a diverse and inclusive culture that reflects and respects the richness of our global community. We welcome individuals of all backgrounds, including different cultures, ethnicities, ages, races, national origins, genders, sexual orientations, religions, and abilities, to apply for our open roles. If you share our commitment to an inclusive workplace and believe you'd thrive on our team, we'd love to hear from you!