Ai Engineer - Full Stack Developer

GenAI-Based AI Engineer - Full Stack Development

Position Overview

We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack.

Key Responsibilities

AI/ML Development

• Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.)
• Develop and fine-tune language models for specific use cases
• Build RAG (Retrieval-Augmented Generation) systems and vector databases
• Implement prompt engineering strategies and optimization techniques
• Create AI agents and multi-agent systems for complex workflows
• Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.)

Backend Development

• Build scalable Python-based backend services using FastAPI, Flask, or Django
• Design and implement RESTful APIs and GraphQL endpoints
• Develop microservices architecture for AI model deployment
• Implement authentication, authorization, and security best practices
• Optimize API performance and implement caching strategies
• Manage database design and operations (PostgreSQL, MongoDB, vector databases)

Frontend Development

• Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit)
• Create intuitive UIs for AI-powered applications
• Implement real-time features using WebSockets
• Build interactive data visualizations and dashboards
• Ensure cross-browser compatibility and responsive design

MLOps & Deployment

• Deploy and monitor AI models in production environments
• Implement CI/CD pipelines for ML applications
• Containerize applications using Docker and orchestrate with Kubernetes
• Set up model versioning and experiment tracking (MLflow, Weights & Biases)
• Monitor model performance and implement automated retraining pipelines
• Manage cloud infrastructure (AWS, GCP, or Azure)

Required Qualifications

Technical Skills

• Python Expertise

  : 3+ years of professional Python development experience

• GenAI Frameworks

  : Hands-on experience with LangChain, LlamaIndex, or similar frameworks

• LLM Integration

  : Proven experience working with OpenAI, Anthropic, or open-source LLMs

• Backend Frameworks

  : Proficiency in FastAPI, Flask, or Django

• Frontend Technologies

  : Experience with React, Vue.js, or modern JavaScript frameworks

• Databases

  : Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB)

• ML Libraries

  : Experience with PyTorch, TensorFlow, Hugging Face Transformers

• API Development

  : RESTful API design and implementation

• Version Control

  : Git and collaborative development workflows

Preferred Skills

• Experience with prompt engineering and fine-tuning LLMs
• Knowledge of embedding models and semantic search
• Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
• Experience with streaming responses and async programming
• Understanding of AI safety, ethics, and responsible AI practices
• Knowledge of containerization (Docker) and orchestration (Kubernetes)
• Experience with monitoring tools (Prometheus, Grafana)
• Familiarity with message queues (RabbitMQ, Kafka)

Education & Experience

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field
• 3-5 years of software development experience
• 1-2 years of hands-on experience with generative AI and LLMs
• Portfolio of AI projects or contributions to open-source AI projects

Soft Skills

• Strong problem-solving and analytical thinking
• Excellent communication skills for cross-functional collaboration
• Ability to translate business requirements into technical solutions
• Self-motivated with ability to work independently and in teams
• Passion for staying current with rapidly evolving AI technologies
• Strong documentation and code review practices

What We Offer

• Competitive salary and equity options
• Flexible work arrangements (remote/hybrid)
• Professional development and conference attendance
• Access to cutting-edge AI tools and technologies
• Collaborative and innovative work environment
• Health benefits and wellness programs

Application Process

Please submit your resume along with:

• GitHub profile or portfolio showcasing GenAI projects
• Brief description of your most impactful AI project
• Links to any deployed applications or demos