
Digital Product Development Specialist
1 day ago
We're an early-stage startup building AI-driven digital products that blend large language models with scalable products. Our goal is to increase product and service visibility, user engagement, and create high ROI with marketing budget on social media platforms.
The ideal candidate can be a university student, recent graduate, contractor, or full-time employee. They should have previous part-time or full-time technical experience, a well-composed GitHub profile or personal portfolio, and the ability to prove their technical capabilities and knowledge on bot development upon immediate request.
Key Responsibilities:
- Design and deploy LLM-powered bots (e.g., auto-reply systems, content summarizers, viral thread generators).
- Integrate RAG pipelines (e.g., retrieve Reddit comments + LLM responses) with vector DBs (Pinecone, Weaviate).
- Fine-tune/open-source LLMs (Llama 3, Mistral) for bot-specific tasks (persona mimicry, NSFW filtering).
- Optimize cost/latency (model quantization, caching, hybrid rule-based + AI logic).
- Implement stealth measures (human-like delays, randomized phrasing, proxy rotation).
Technical Requirements:
- Core: Python (Tweepy, PRAW, AsyncIO, LangChain, LlamaIndex)
- LLMs: OpenAI, Anthropic, Gemini, or self-hosted (Llama.cpp, vLLM)
- Infra: AWS Lambda, FastAPI, Docker, Redis (for rate-limiting)
- Data: Vector DBs (Pinecone), PostgreSQL, Firebase
- Bonus: Next.js/Streamlit for bot dashboards
Ideal Candidate Profile:
- 1-2 years of experience building Python bots (X/Reddit API automation).
- Worked with LLM integrations (RAG, fine-tuning, prompt engineering).
- Understands detection tactics (IP rotation, CAPTCHA solvers).
- Pragmatic problem-solver who cares about scalability vs. cost tradeoffs.
Compensation & Benefits:
- Competitive salary with performance-based bonus.
- 100% remote work - work from anywhere within the working hours.
- Opportunity to work on cutting-edge AI products from ground up.
- Flat hierarchy and direct impact on technical decisions.
- Learning budget for courses/certificates.
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