Senior Fullstack AI Engineer (Remote)

About the position We are seeking an exceptional Senior Full Stack AI Engineer to join our Genie team. You will be a key technical contributor responsible for designing, developing, and deploying end-to-end AI-powered applications that leverage Large Language Models (LLMs) and autonomous agent frameworks to revolutionize resource management. This role requires a unique blend of full-stack development expertise and deep AI/ML knowledge, with hands-on experience building production-grade GenAI and LLM-based solutions. You will work at the intersection of modern web development and cutting-edge AI technology, building scalable, intelligent systems that can reason, learn, and act autonomously to optimize resource allocation and management workflows.

Responsibilities

• Design, develop, and deploy agentic AI systems using frameworks like LangChain, LangGraph, CrewAI, or AutoGen
• Build and optimize multi-agent workflows with capabilities including:

Semantic search based Retrieval Augmented Generation (RAG) for context-aware responses

• Tool usage and API orchestration
• Context Engineering with memory and user personalisation
• Implement LLM-powered features including intelligent resource recommendations, automated workflow optimization, and predictive analytics
• Develop and fine-tune prompts for various LLM models (GPT-4, Claude, Llama, etc.)
• Design guardrails, human-in-the-loop patterns, and response verification systems to prevent hallucinations and ensure accuracy
• Drive architecture for AI observability, safety and evaluation (precision, F1, hallucination detection, cost metrics).
• Implement model evaluation frameworks and monitoring systems to track AI system performance
• Build responsive, performant web applications using Next.js, React, and TypeScript
• Design and implement RESTful APIs and GraphQL endpoints using Python (FastAPI/Flask) and Node.js
• Develop backend services that integrate with LLM APIs (OpenAI, Anthropic, AWS Bedrock)
• Create intuitive user interfaces that seamlessly incorporate AI capabilities
• Implement real-time features using WebSockets for streaming LLM responses
• Write clean, maintainable, well-documented code following best practices and design patterns
• Deploy and manage applications on AWS services including:

Lambda, ECS/EKS, S3, API Gateway, SageMaker, Bedrock

• DynamoDB, RDS, ElastiCache
• CloudWatch, X-Ray for monitoring and observability
• Implement CI/CD pipelines for automated testing and deployment
• Should have fair understanding of MLOPS
• Design scalable, fault-tolerant architectures that can handle high-volume AI workloads
• Optimize infrastructure costs while maintaining performance and reliability
• Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions
• Participate in code reviews, architectural discussions, and technical design sessions
• Mentor junior engineers and share best practices for AI-driven development
• Stay current with the latest advancements in LLMs, agentic AI, and machine learning techniques
• Document system architectures, API specifications, and implementation details
• Contribute to the evolution of our AI development standards and practices

Requirements

• Programming Languages: 5+ years of professional experience with:

Python (advanced proficiency) - Langraph, Langchain, NumPy, Pandas, scikit-learn

• TypeScript/JavaScript (ES6+)
• Strong understanding of object-oriented and functional programming paradigms
• Full Stack Development: 4+ years of experience with:

Frontend: Next.js, React, React Hooks, Context API, TailwindCSS, Shadcn/UI

• Backend: Node.js, Fastify, FastAPI, Flask
• APIs: RESTful design, GraphQL, WebSocket implementation
• Databases: PostgreSQL, MongoDB, Redis
• AWS: EC2, Lambda, S3, ECS/EKS, SageMaker, Bedrock, CloudWatch
• CI/CD: GitHub Actions, Jenkins, GitLab CI
• AI/ML Expertise: 2+ years hands-on experience with:

LLM Integration: OpenAI API, Anthropic Claude, AWS Bedrock, Azure OpenAI

• Agentic Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Claude SDK or similar
• Observability and Traceability: Arize Pheonix, Langfuse, LangSmith, AgentOps
• RAG Systems: Building retrieval pipelines, chunking strategies, embedding generation
• Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB, or Qdrant
• ML Libraries: TensorFlow, PyTorch, Hugging Face Transformers
• Prompt Engineering: Advanced techniques for optimization and consistency
• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related field
• 5-7 years of professional software engineering experience
• 2+ years of hands-on experience building production LLM/GenAI applications
• Proven track record of deploying and scaling AI-powered applications in production environments
• Experience with the complete software development lifecycle (SDLC)
• Strong understanding of software architecture patterns and system design principles.

Nice-to-haves

• Experience with model fine-tuning and custom model deployment
• Knowledge of machine learning algorithms, neural networks, and deep learning architectures
• Familiarity with MLOps practices and tools (MLflow, Weights & Biases, Kubeflow)
• Experience with streaming data pipelines (Kafka, Kinesis)
• Understanding of AI safety, ethics, and responsible AI practices
• Contributions to open-source AI/ML projects

Benefits

• Work remotely, Yes thats right we are proud remote first company
• Opportunity to work on cutting-edge AI technology with real-world impact
• Dedicated AI Coding assistant
• Collaborative team environment with talented engineers and researchers
• Competitive salary and equity compensation
• Comprehensive health, dental, and vision insurance
• Modern tech stack and tools

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