Senior Fullstack AI Engineer (Remote)

Company Overview We are expanding our product portfolio to build, scale, and maintain an innovative AI Agentic solution that simplifies resource management in our platform. This transformative product leverages cutting-edge Large Language Models (LLMs), Generative AI, and autonomous agent frameworks to deliver intelligent, self-optimizing resource management capabilities.

About the Role 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.

Key Responsibilities AI & Machine Learning Development 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
• Full Stack Development
• 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

Collaboration & Innovation 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

Required Qualifications Technical Skills

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 Experience Requirements 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. Preferred Qualifications 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

Soft Skills Excellent problem-solving abilities and analytical thinking Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders Self-motivated with ability to work independently and as part of a cross-functional team Passion for learning and staying at the forefront of AI technology Ability to thrive in a fast-paced, iterative development environment Strong attention to detail with commitment to code quality and best practices

What We Offer 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