Uplift AI is an SEO operating system for the AI search era. We help businesses rank #1 on Google and inside ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, on autopilot.

The platform is a full agentic stack, not a single tool. An AI SEO Agent runs a 24/7 planning queue that maps keyword demand, drafts content, finds internal link opportunities, prepares Google Business Profile updates, and publishes approved work into WordPress, Shopify, Webflow, Wix, Framer, or a custom CMS. On top of that we run a Generative Engine Optimization layer that tracks mentions, citations, and coverage across five AI answer engines, plus a public technical audit that scans robots.txt, sitemaps, canonicals, JSON-LD, Speakable schema, and llms.txt for AI crawler readiness in under 30 seconds.

One principle runs through all of it: nothing publishes without human approval. Draft-first, approval-gated, kill-switch controls at every step. We are building an agent people actually trust with their live site, which is a much harder engineering problem than an agent that just generates.

Roughly 5.6% of US searches now happen inside AI assistants and traditional search volume is projected to fall 25%. Generative Engine Optimization is a category being defined right now, and we intend to define it.

You would be one of our earliest senior AI hires. Real ownership, no layers, and your work in front of paying customers within weeks.

The Role

You will own the AI systems at the center of the platform: the content generation engine, the agentic workflows behind our audits, keyword planning and internal linking, and the retrieval and tracking layer that measures how brands surface inside LLM answers.

This is not a research role and it is not a prompt-tweaking role. It is a build-and-ship engineering role for someone who understands LLMs deeply enough to make them reliable, fast, and cheap at production scale.

What You Will Do

Own the content generation engine

- Scale the multi-step LLM pipelines behind AI Blog Writer and Autoblog: outlines, heading hierarchy, FAQ and answer blocks, metadata, internal link prompts, CTAs
- Push quality up and cost per article down at the same time, through model routing, caching, distillation, and smarter task decomposition
- Build the automated quality gates that sit in front of human review, so reviewers spend their time on judgment calls and not on catching obvious failures

Build agentic workflows

- Extend the AI SEO Agent's 24/7 planning queue: demand mapping, action generation, publish and measure, all under human approval
- Ship agents for site audits, technical SEO fixes, keyword clustering and intent classification, and competitive analysis
- Design tool-use, planning, and recovery logic that holds up on messy real-world websites, not clean demos

Own the semantic layer

- Build the embedding and retrieval systems behind our Auto Linking Tool: entity and topic extraction, semantic page matching, topic cluster detection,



internal link graph construction, context-aware anchor text
- Build the clustering and intent classification behind the Keyword Research Tool

Build our GEO intelligence layer

- Scale the systems that query and monitor ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews to detect when and how a client's brand gets mentioned and cited
- Turn raw mentions, citations, and coverage signal into causal insight: what actually moves AI visibility and what does not
- Detect competitor gaps, the topics where competitors get cited and our client does not
- This is the most defensible thing we own, and you would be the person who owns it

Make it production-grade

- Build the eval harness: golden datasets, regression suites, LLM-as-judge scoring, offline and online measurement
- Own latency, throughput, cost, and reliability for AI workloads running around the clock, including a public audit tool that has to return a full technical and AI-readiness scan in 15 to 30 seconds
- Instrument everything. If we cannot measure a quality change, we do not ship it

Work like an owner

- Sit in on customer conversations and let real client outcomes shape the roadmap
- Set the engineering bar for AI work as the team grows, and mentor engineers who join after you

What We Are Looking For

Required

- 5+ years of software engineering, with 2+ years building production LLM applications that real users depend on
- Strong Python, and comfortable in TypeScript or Node for product-facing work
- Deep hands-on experience with the up-to-date LLM stack: OpenAI, Anthropic, Gemini, and open-weight models, plus function calling, structured output, and streaming
- Real RAG and semantic search experience: chunking strategy, embeddings, vector search (pgvector, Pinecone, Qdrant or similar), reranking, clustering, and evaluating retrieval quality honestly
- You have built agentic systems and know exactly where they break
- You have built evals and can talk concretely about how you measured whether a model change was actually an improvement
- Comfortable with web crawling and HTML parsing at scale, and with the reality that real websites are broken in creative ways
- Cloud and infrastructure fluency: AWS or GCP, Docker, CI/CD, queues and background job orchestration
- Solid data engineering instincts: PostgreSQL, third-party API integration at scale, OAuth flows, rate limits, retries, idempotency

Strong bonus

- SEO, martech, content platform, or web crawling background
- Working knowledge of structured data: JSON-LD, schema.org, Speakable, llms.txt,



and how AI crawlers actually consume a page
- Experience building against CMS and platform APIs (WordPress, Shopify, Webflow, Wix, Framer) or Google APIs (Search Console, Business Profile)
- Fine-tuning or post-training experience, and knowing when it is worth it versus when it is not
- Experience cutting inference cost by a meaningful multiple without losing quality
- Early-stage startup experience, especially as a first or second senior engineer
- You have shipped something publicly: open source, a side project, writing, or a product people use

How you work

- Bias to shipping. You would rather have something in production this week than perfect in a month
- Ruthless about quality where it touches a client's live site, pragmatic everywhere else
- You can explain a technical tradeoff to a non-technical founder in one clear sentence
- Comfortable with ambiguity, and you go find the answer instead of waiting for a spec

Our Stack

Python, TypeScript, Node.js, PostgreSQL, vector search, AWS, Docker, Next.js, and direct API integrations with WordPress, Shopify, Webflow, Wix, Framer, Google Business Profile, and Google Search Console. You will have real input on what we adopt next.

Why Join

- Category timing. Generative Engine Optimization is being invented right now. Very few engineers have production experience here. You would be one of them.
- Genuinely hard problems. Agentic publishing into someone's live website, with approval gates and kill switches that have to actually work. Measuring brand visibility inside non-deterministic LLM answers. Neither has a playbook yet.
- Real ownership. You own systems end to end, not tickets from someone else's backlog.
- Fast feedback. Businesses use this platform daily and you will see your work show up in their traffic and lead numbers.
- Direct access. You work with the founder daily. Decisions take hours, not quarters.
- Compounding leverage. Every improvement to the engine improves output for every client at once.

Interview Process

- Intro call, 30 minutes, with the founder
- Technical deep dive, 60 minutes, on an LLM system you have built
- Practical exercise, take-home, roughly 3 hours. Realistic and scoped, no algorithm puzzles.
- System design, 30 minutes, live, on our content pipeline or GEO tracking layer
- Final conversation, 30 minutes, on team, comp, and start date

Target: under 2 weeks start to finish.

How to Apply

Apply through LinkedIn, or email [email protected] with the subject line "Senior AI Engineer" and include a short note on the most interesting LLM system you have shipped and what you learned the hard way.

Bonus points if you run our free SEO audit at upliftai.co on any site and tell us what you would build differently.

No cover letter needed. We read every application.

Uplift AI is an equal opportunity employer. We hire on ability and drive, and we welcome applicants from every background.

📌 Senior AI Engineer (India)
🏢 UpliftAI
📍 India