Senior AI/ Full stack lead engineer

1 day ago

Remote, India Etaclam Techno Services Full time ₹ 10,80,000 - ₹ 13,20,000 per year

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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