
Senior AI/ Full stack lead engineer
24 hours ago
Job Description
Position: Senior AI / Full-Stack Lead Engineer
Engagement Type: Remote
Location: Remote (Global)
Position Overview:
SmartLearn is seeking a Senior AI / Full-Stack Lead Engineer to architect and deliver its AI-powered
personalized learning platform MVP. The role involves owning system design, integrating LLMs and AI
agents, building scalable APIs, and leading technical architecture for a global-scale, production-ready
EdTech platform.
Key Responsibilities:
* Act as technical architect for SmartLearn's MVP, setting system architecture, data flow design, and
scaling benchmarks.
* Ensure seamless integration across AI, backend, and frontend components.
* Define latency, reliability, and security standards.
* Provide technical leadership to backend/frontend engineers.
* Oversee global-scale deployment architecture, including multi-region latency optimization, CI/CD
pipelines, and security standards.
* Architect robust multi-agent workflows using LangGraph, LangChain, or CrewAI.
* Leverage prompt optimization frameworks (DSPy, Optix, Arize Phoenix) for reliable LLM pipelines.
* Implement real-time retrieval pipelines with Playwright, Firecrawl, Puppeteer.
* Build dual-path lesson generation (creative drafting + grounded synthesis from web/YouTube).
* Integrate coding sandboxes (Colab, JupyterLite) with automated grading.
* Develop OCR and browser automation agents with Tesseract, PaddleOCR, Playwright, Puppeteer.
* Enable image and diagram generation with diffusion and multimodal LLMs.
* Deploy context-aware AI tutor with chat and voice (STT/TTS, OCR-enabled).
* Design and maintain scalable Python/FastAPI APIs with semantic search and caching.
* Manage LLM Ops: prompt engineering, optimization, evaluation, and deployment pipelines.
* Utilize AI coding assistants (Claude Code, Codex, Cursor) for productivity and rapid prototyping.
* Architect long-term memory and knowledge graph structures for adaptive personalization.
Required Skills:
* Bachelor's or Master's in Computer Science, Machine Learning, AI, or related field
* 6+ years of production software engineering experience
* Proven ability as a technical architect for scalable, secure AI applicatio
* AI coding copilots (Claude Code, Codex, Cursor)
* Multi-agent frameworks (LangGraph, LangChain, CrewAI)
* LLM integration and workflow ops (Claude, GPT, Gemini, Bedrock)
* On-the-fly RAG and web scraping (Playwright, Firecrawl, Puppeteer)
* Sandbox integration (Colab, JupyterLite), auto-grading (unit tests, LLM rubrics)
* OCR and computer vision (Tesseract, PaddleOCR, EasyOCR)
* Browser automation (Playwright, Puppeteer, Selenium)
* Image generation (diffusion models, multimodal LLMs)
* Python + FastAPI backend expertise
* Realtime optimization (async, caching, streaming APIs)
* Vector DBs (Pinecone/FAISS), Redis, Postgres
* Cloud infrastructure (AWS/GCP: Lambda, S3, RDS, autoscaling, monitoring)
* Exposure to frontend teamwork (React, , Tailwind)
* Memory-augmented RAG and knowledge graphs (Neo4j, RDF, GraphDB)
* Prompt optimization (DSPy, Optix, metric-driven evaluation)
* Need to have AI native exposure in the past projects
Preferred (Bonus) Skills:
* Bayesian/hybrid prompt optimization methods
* Few-shot and meta-prompting techniques
* Strong async communication and collaboration in remote environments
* Startup experience with high ownership and adaptability
Job Type: Contractual / Temporary
Contract length: 3 months
Pay: ₹90, ₹110,000.00 per month
Education:
- Bachelor's (Preferred)
Experience:
- Full-stack development: 6 years (Required)
Work Location: Remote
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