CrawlJobs Logo
LlamaIndex Logo LlamaIndex · IT - Software Development

AI Content Engineer

United States, San Francisco · Job Posted January 20, 2026
Apply Position
Job Link Share

Job Description

Join us and help shape the future of AI by architecting next-generation knowledge systems. We are seeking a highly technical ML engineer who can produce compelling, authentic technical content at high velocity. You will combine deep expertise in document AI with strong writing skills to build benchmarks, publish technical analyses, and establish our position as the definitive leader in document understanding. This is not a traditional DevRel or Marketing role. You will write real code, build real benchmarks, and run real experiments - then translate that work into published content at a pace far faster than academic publishing. Your output will directly drive awareness and adoption among the developers building the next generation of document-powered applications.

Job Responsibility

  • Design, build, and maintain comprehensive benchmarks for document parsing and understanding
  • Publish high-quality technical content at a weekly cadence (blog posts, benchmark reports, technical comparisons, tutorials)
  • Stay deeply current with the document AI landscape - new models, papers, competitors, techniques
  • Run experiments and translate findings into publishable artifacts quickly
  • Produce technical analyses that demonstrate our capabilities against alternatives
  • Contribute to open-source examples, notebooks, and documentation
  • Collaborate with the core ML team to surface improvements and capabilities worth highlighting
  • Engage authentically with the developer community through technical content (not conferences/events)

Requirements

  • Experience in software engineering (ML engineering + research a bonus)
  • Strong software engineering fundamentals with production Python experience
  • Understanding of modern ML techniques, particularly in computer vision, NLP, or multimodal learning
  • Demonstrated ability to write clearly, quickly, and authentically about technical topics
  • Bias toward shipping - comfortable publishing at blog pace, not paper pace
  • Ability to read, understand, and synthesize research papers rapidly
  • Scrappy and self-directed - can identify what's worth writing about and execute end-to-end
  • Track record of high-velocity output in fast-paced environments

Nice to have

  • Experience with vision-language models, transformer architectures, or document AI specifically
  • Existing portfolio of technical writing (blog posts, tutorials, technical documentation)
  • Experience building evaluation frameworks or benchmarks
  • Familiarity with OCR, layout analysis, table extraction, or document structure understanding
  • Active presence in ML/AI technical communities
  • Experience with LLM applications and RAG systems

What we offer

  • Shape the Narrative: Your content will define how developers think about document understanding. You'll have direct influence on market perception
  • Technical Credibility: Work with cutting-edge document AI systems processing millions of documents. Your benchmarks and analyses will be grounded in real capabilities
  • High Autonomy: Significant freedom to identify what matters and publish quickly. No lengthy approval chains
  • Growth Opportunity: Help build this function from the ground up as we scale
LlamaIndex - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

AI Content Engineer

8 matching positions

AI Content Optimization Engineer

We’re seeking a hands‑on technical contributor to modernize HR content for AI‑po...
Location
Location
United States , Milwaukee
Salary
Salary:
Not provided
tier4group.com Logo
Tier4 Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands‑on experience delivering AI‑ready content or retrieval systems in an enterprise environment
  • Strong knowledge of: Information architecture and content structuring
  • Metadata, taxonomy, and content classification
  • Retrieval‑augmented generation (RAG) or enterprise search
  • Experience with semantic chunking, embeddings, and indexing
  • Familiarity with privacy‑safe AI patterns and governance controls
  • Ability to operate as a lead contributor in cross‑functional teams
Job Responsibility
Job Responsibility
  • Design and implement pipelines to ingest, structure, and index HR content for AI retrieval
  • Transform policies, SOPs, FAQs, and guides into structured or semi‑structured, AI‑ready formats
  • Apply semantic chunking, embeddings, versioning, and indexing techniques
  • Implement metadata standards, taxonomy, and content classification
  • Translate governance and compliance requirements into enforceable system rules
  • Enable privacy‑safe retrieval (RBAC, PII handling, audit logging)
  • Evaluate retrieval quality using metrics such as precision, recall, and answer faithfulness
  • Instrument logging and observability to improve content health and retrieval accuracy
  • Support pilots, launches, and scaling of AI‑enabled HR content experiences
What we offer
What we offer
  • free daily lunch when onsite
Read More
Arrow Right

Manager, Content Engineering — AI Content Understanding

Product Content Engineering is a horizontal function supporting initiatives acro...
Location
Location
United States , Menlo Park
Salary
Salary:
162000.00 - 227000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in content strategy, content operations, AI evaluation, or a related field
  • 2+ years of people management experience, including hiring, developing, and performance-managing direct reports
  • Experience managing cross-functional programs with engineering, data science, and product partners in fast-paced environments
  • 1+ years working with generative AI products, AI evaluation, prompt engineering, annotation, and/or content labeling and analysis
  • Experience designing or operationalizing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems
  • Demonstrated ability to manage multiple concurrent workstreams with competing priorities and tight deadlines
  • Proven analytical skills with experience interpreting evaluation data and communicating findings to technical and non-technical audiences
  • Track record of building team operational processes and quality standards from the ground up or during periods of significant change
Job Responsibility
Job Responsibility
  • Manage and develop a team of Content Engineers and contingent workers, setting clear goals, providing regular feedback, and supporting career growth
  • Own the execution of continuous CU model evaluations — coordinating sprint planning, reviewer assignments, QA processes, and delivery timelines across multiple concurrent workstreams
  • Drive the creation and maintenance of golden datasets that serve as ground truth for model benchmarking and auto-eval calibration
  • Partner with engineering, data science, and product teams to translate evaluation insights into actionable recommendations for model improvement and prompt optimization
  • Lead the team's contribution to LLM-as-a-Judge (auto-eval) initiatives — ensuring human evaluation data is used to calibrate, validate, and improve automated evaluation systems
  • Define and maintain evaluation guidelines, rubrics, and quality standards in partnership with Lead Content Engineers, ensuring consistency across reviewers and use cases
  • Build repeatable operational processes for evaluation sprints, including reviewer training, calibration sessions, and escalation workflows
  • Manage CW workforce planning — hiring, onboarding, allocation across workstreams, and performance management
  • Synthesize evaluation results into structured reports and present findings to cross-functional leadership, including engineering leads and lead product stakeholders
  • Identify and mitigate operational risks — staffing gaps, timeline conflicts, quality regressions — before they impact delivery
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Ai Engineer

We're building the world's first viral agent. An AI purpose built for influencer...
Location
Location
United States , San Francisco Bay Area
Salary
Salary:
150000.00 - 200000.00 USD / Year
influur.com Logo
Influur
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Solid experience designing multi AI agent architectures with memory, tool use, and feedback loops (LangChain, CrewAI, or custom orchestration), using LLMs such as those from OpenAI, Anthropic, Gemini, etc.
  • Expertise in full-stack development (Node.js, Next.js) and scalable systems
  • Strong proficiency in Python is a plus
  • Ability to reason about API orchestration, error handling, integration complexity
  • Experience building RAG systems
  • Experience building and integrating APIs (REST) in Node.js
  • Hands-on experience using AI-powered IDE tools such as Cursor
  • Experience properly using LLMs in different parts of a greater system
  • Deep knowledge of which models to be used whenCreating and using embeddings
  • Strong grasp of API architecture, performance tuning, and database optimization (SQL)
What we offer
What we offer
  • Competitive equity in a venture-backed company shaping the future of music influencer marketing
  • A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny), with our tech, support, and strategic guidance
  • Access to elite tools, AI copilots, and a team that builds daily at top speed
  • Hybrid flexibility
  • Fulltime
Read More
Arrow Right

Software Engineer AI

Spendesk is looking for a Backend Software Engineer (IC3) to join our PDE (Produ...
Location
Location
France , Paris
Salary
Salary:
Not provided
spendesk.com Logo
Spendesk
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant experience on backend software engineering experience in production environments
  • A strong track record of designing and shipping scalable backend services with clear ownership of reliability and maintainability
  • Experience contributing to complex technical projects in fast-paced product organizations
  • Ideally, hands-on exposure to AI-enabled or LLM-backed product features in production
  • Strong backend engineering skills with TypeScript / Node.js or adjacent technologies
  • Good fluency in service design, asynchronous architectures, and resilient distributed systems
  • Experience integrating APIs and external services into robust product backends
  • Practical experience, or strong interest, in integrating LLMs into production systems, ideally using platforms such as AWS Bedrock, OpenAI, or Anthropic
  • Familiarity with technologies such as Kafka, SQS, Step Functions, PostgreSQL, and modern observability practices
  • Highly autonomous and comfortable owning ambiguous technical problems from framing to delivery
Job Responsibility
Job Responsibility
  • Design, build, and operate backend services and APIs that power conversational and agentic AI features
  • Implement the services needed for context management, tool invocation, rich content access, and multi-step orchestration
  • Build robust patterns for integrating LLMs through AWS Bedrock, including retries, fallbacks, tracing, and cost-aware usage
  • Ensure these services are designed for production from day one, with strong standards on reliability, maintainability, and security
  • Partner with the IC5 Staff Engineer to implement the architecture supporting AI-native product experiences
  • Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads
  • Help define how applicative squads can expose MCP-compatible tools and capabilities to central AI services
  • Translate high-level architectural direction into concrete technical implementations and scalable engineering patterns
  • Own complex backend components end-to-end, from design and implementation to deployment and maintenance
  • Contribute directly to proof-of-concepts and experiments, then harden the successful ones into reliable production services
What we offer
What we offer
  • Flexible on-site and remote policy
  • Latest Apple equipment
  • Access to Moka.care — for emotional and mental health wellbeing
  • Great office snacks
  • A positive team to work with daily
  • Location-specific benefits tailored to each market, including health insurance, wellness allowances, commuter support, meal vouchers, and gym memberships
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

We're looking for a Senior AI Engineer to help us build the next generation of A...
Location
Location
Netherlands; Germany; Romania; United Kingdom; Spain; Italy; Poland , Amsterdam; Berlin; Hannover; Iași; London; Madrid; Milano; München; Warsaw
Salary
Salary:
Not provided
awin.com Logo
Awin Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of professional software engineering experience, with a track record of shipping production systems
  • Strong Python and backend system design
  • Real, hands-on experience building and running production LLM-based systems not just prototypes
  • Deep experience with agent-based architectures using frameworks such as LangGraph, the Deep Agents or equivalents with multi-step reasoning, tool use, sub-agent orchestration, state and streaming
  • Strong working knowledge of retrieval and context construction (RAG, embeddings, chunking, ranking) and good judgement about when to use those patterns inside an agentic system
  • A solid track record of evaluating and debugging AI systems: structured evals, regression tests and tracing or observability with tools such as LangSmith or similar
  • Familiarity with emerging agent orchestration standards (MCP or similar)
  • Experience with vector databases and hybrid retrieval
  • A clear understanding of LLM failure modes like prompt injection, content safety, context leakage and how to mitigate them in real systems
  • Strong fundamentals in distributed systems, API design and cloud-native architectures on AWS (ECS, Lambda, S3, API Gateway)
Job Responsibility
Job Responsibility
  • Design, build and operate customer-facing AI features end-to-end, from conversational experiences to intelligent automation
  • Architect agent-based systems: multi-step reasoning, tool execution, sub-agent orchestration, state management and streaming, structured outputs, persistent memory and human-in-the-loop approval flows
  • Decide how the system grounds, retrieves and constructs context
  • Pick the right pattern (retrieval, structured tools, agentic flows) for each problem and be able to defend the choice
  • Treat prompt and context engineering as first-class engineering work
  • Own AI quality
  • Build evaluation datasets, regression tests for prompts and agents and the debugging discipline needed to get to root cause across model outputs, retrieval and tool calls
  • Make AI production-ready: observability, tracing, reliability, cost, latency and the safety controls that protect against hallucination, prompt injection and context leakage
  • Make and explain the trade-offs between accuracy, latency, cost and safety within engineering and product partners
  • Partner within Product Trio to shape what we build, not just how we build it
What we offer
What we offer
  • Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves
  • Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
  • Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
  • Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches
  • Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member
  • Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
  • Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
  • Fulltime
Read More
Arrow Right

Ai Engineer- Saas Platform

We are looking for an AI Engineer to maintain and enhance the AI-driven backbone...
Location
Location
India , India
Salary
Salary:
Not provided
marrinadecisions.com Logo
Marrina Decisions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong in Python, with experience in production-grade codebases
  • Flask (for APIs), FastAPI (optional), Uvicorn/Gunicorn for async hosting
  • Dramatiq (or Celery/RQ equivalent) for background jobs
  • Hands-on with LLMs and VLMs, including prompt engineering, fine-tuning, and evaluation
  • Familiar with OpenRouter or equivalent LLM/VLM routing & fallback tools
  • Experience designing and maintaining microservice architectures
  • Strong experience with REST API design (auth, rate limiting, documentation)
  • Dockerized deployments, CI/CD pipelines, logging/monitoring, error handling
  • Building structured evaluation/feedback systems for AI model performance
  • AWS/GCP experience preferred (deployment, monitoring, scaling)
Job Responsibility
Job Responsibility
  • Maintain and optimize LLM- and VLM-powered services for content generation, compliance scoring, and campaign testing
  • Manage and scale Flask/FastAPI microservices, ensuring high uptime and low latency
  • Maintain Dramatiq queues for async AI workflows, campaign generation, and pipeline orchestration
  • Deploy, monitor, and debug Uvicorn/Gunicorn-based hosting in production environments
  • Integrate with OpenRouter and equivalent LLM routing tools to balance cost, latency, and quality
  • Design and refine prompt engineering strategies for reliability, context-awareness, and compliance
  • Build and maintain feedback pipelines for AI model evaluation (human-in-the-loop scoring, automated quality checks, reinforcement)
  • Expose and maintain REST APIs for AI services, ensuring secure, versioned endpoints
  • Collaborate with backend/frontend teams to keep microservice architecture aligned and maintainable
  • Track token consumption, latency, and error rates to ensure production-grade performance
  • Fulltime
Read More
Arrow Right

AI Engineer

We're building the world's first viral agent. An AI purpose built for influencer...
Location
Location
United States
Salary
Salary:
150000.00 - 200000.00 USD / Year
influur.com Logo
Influur
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Solid experience designing multi AI agent architectures with memory, tool use, and feedback loops (LangChain, CrewAI, or custom orchestration), using LLMs such as those from OpenAI, Anthropic, Gemini, etc.
  • Expertise in full-stack development (Node.js, Next.js) and scalable systems
  • Strong proficiency in Python is a plus
  • Ability to reason about API orchestration, error handling, integration complexity
  • Experience building RAG systems
  • Experience building and integrating APIs (REST) in Node.js
  • Hands-on experience using AI-powered IDE tools such as Cursor
  • Experience properly using LLMs in different parts of a greater system
  • Deep knowledge of which models to be used whenCreating and using embeddings
  • Strong grasp of API architecture, performance tuning, and database optimization (SQL)
What we offer
What we offer
  • Competitive equity in a venture-backed company shaping the future of music influencer marketing
  • A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny), with our tech, support, and strategic guidance
  • Access to elite tools, AI copilots, and a team that builds daily at top speed
  • Hybrid flexibility
  • Fulltime
Read More
Arrow Right

Senior AI Engineer

Shutterfly is seeking a Senior AI Engineer (Contractor) to accelerate the design...
Location
Location
United States , Eden Prairie
Salary
Salary:
Not provided
abottstech.com Logo
Abotts
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of professional software / ML engineering experience, with 2+ years building production generative AI or agentic systems
  • Expert-level proficiency in Microsoft Copilot Studio — agent design, topics, custom connectors, Power Platform integration, governance, and lifecycle management
  • Hands-on expertise with Azure AI Foundry (formerly Azure AI Studio) — model deployment, prompt flow, agent service, evaluations, and content safety
  • Production experience with Anthropic Claude — Anthropic SDK, prompt caching, tool use, MCP (Model Context Protocol), and multi-turn agent design
  • Strong working knowledge of Google Cloud Platform — Vertex AI, Gemini, Agent Builder, BigQuery, Cloud Run, and IAM
  • Proficiency in Python and at least one of TypeScript/Node.js or C#/.NET
  • Solid grounding in RAG architectures, vector databases (Azure AI Search, Pinecone, Vertex Vector Search), embeddings, and semantic retrieval
  • Experience with LLM evaluation frameworks, observability (LangSmith, Azure AI Foundry evaluations, custom telemetry), and A/B testing of AI systems
  • Experience integrating AI with Microsoft 365 (Graph API, Teams, SharePoint, Outlook) and enterprise identity (Entra ID / OAuth2)
  • Strong understanding of responsible AI, data privacy (GDPR, CCPA), and enterprise security practices
Job Responsibility
Job Responsibility
  • Design, build, and deploy enterprise-grade AI agents, copilots, and automation workflows that integrate with Microsoft 365, internal systems, and customer-facing applications
  • Microsoft Copilot Studio: Develop and operationalize agents and low-code/pro-code solutions — custom topics, plugins, knowledge sources, and connectors
  • Azure AI Foundry: Architect and implement model orchestration, retrieval-augmented generation (RAG), evaluation, and guardrails using model catalog, prompt flow, agent service, and content safety
  • Anthropic Claude: Integrate Claude models (Opus, Sonnet, Haiku) via the Anthropic API and Bedrock — including prompt caching, tool use, extended thinking, and agentic patterns
  • Google Cloud Platform: Build and operate AI services using Vertex AI, Gemini, Agent Builder, BigQuery, and associated MLOps tooling
  • Lead end-to-end model lifecycle: data preparation, fine-tuning/adaptation, evaluation, deployment, observability, and continuous improvement
  • Establish and enforce responsible AI practices — security, privacy, content safety, bias mitigation, prompt injection defense, and auditability — in alignment with Shutterfly enterprise standards
  • Partner with Systems Engineering, Security, and Data teams to integrate AI workloads with identity (Entra ID), data platforms, and CI/CD pipelines
  • Mentor internal engineers and developers
  • produce reusable patterns, reference architectures, and documentation that elevate the team's AI maturity
Read More
Arrow Right