AI Full Stack Engineer
12 hours ago
AI Full-Stack Engineer
This is a Contract employment. You'll work closely with the engineering and product team to build and integrate AI-powered applications — including chatbots, automation platforms, and data-driven web apps. The ideal candidate is comfortable working across the stack, deploying models, and collaborating in a fast-moving startup environment.
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Key Responsibilities
• Should have 5-8 years of experience in AI Full Stack Development.
• Design, develop, and deploy AI-driven web applications and SaaS platforms.
• Build and integrate chatbots, GPT applications, and LLM APIs (OpenAI, Anthropic, Claude, Gemini, etc.).
• Develop backend microservices using Python, , or FastAPI.
• Implement LLM workflows — prompt chaining, vector search, embeddings, and retrieval-augmented generation (RAG).
• Fine-tune and train models on custom datasets using tools like LangChain, LlamaIndex, or Hugging Face.
• Integrate front-end frameworks (React, , or ) with AI-based backends.
• Set up cloud infrastructure on AWS or GCP for scalable deployments.
• Collaborate with design and product teams to create user-friendly, intelligent interfaces.
• Maintain high standards of data security and privacy, especially for healthcare clients.
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Required Skills
• Languages: Python, JavaScript/TypeScript and NLP
• Frameworks: FastAPI, ,
• AI Tools: LangChain, OpenAI API, LlamaIndex, Pinecone, ChromaDB, Hugging Face
• Data Handling: RESTful APIs, JSON, Postgres, MongoDB
• DevOps: Docker, AWS Lambda, EC2, S3, API Gateway, CI/CD
• Bonus: Experience with Twilio, WhatsApp API, or healthcare integrations (FHIR/Redox)
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Preferred Experience
• Building AI chatbots or assistants for web or WhatsApp
• Implementing retrieval-based or fine-tuned GPT models
• Exposure to healthcare, wellness, or SaaS platforms
• Worked in agency/startup environments with rapid delivery cycles
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Soft Skills
• Excellent communication and documentation skills
• Self-driven, ownership-oriented, and proactive problem solver
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