AI Software Engineer

Were seeking an exceptional AI Software Engineer to build and scale enterprise AI applications end to end from database to this role youll work with cutting-edge LLM technology RAG systems and production ML infrastructure combining full-stack development expertise with hands-on AI/ML engineering to ship intelligent systems that deliver real business value at scale. Youll be a key technical contributor shipping production-ready AI features that users love while ensuring reliability performance and cost-effectiveness.

Key Responsibilities:

• Design and implement end-to-end RAG (Retrieval-Augmented Generation) pipelines for intelligent document search and question-answering across enterprise knowledge bases.
• Build production-ready integrations with leading LLMs (GPT-4 Claude Gemini) for accurate contextual responses to user queries.
• Develop prompt engineering strategies and evaluation frameworks to ensure consistent high-quality AI outputs.
• Create agent systems with tool integration capabilities that can autonomously complete complex tasks.
• Implement vector search solutions using Pinecone Weaviate or similar technologies for semantic similarity and knowledge retrieval.
• Build scalable backend services using Python/FastAPI with type-safe APIs authentication and robust error handling.
• Develop responsive performant frontend applications using React/ with real-time streaming for LLM responses.
• Design and optimize database schemas across PostgreSQL MongoDB and Redis to support high-throughput AI workloads.
• Implement WebSocket servers and event-driven architectures for real-time user experiences.
• Create comprehensive testing strategies covering unit integration and end-to-end tests.
• Deploy and manage ML/AI services using Docker containers and Kubernetes orchestration.
• Build and maintain CI/CD pipelines for rapid safe deployment of AI features.
• Implement infrastructure as code using Terraform to manage cloud resources (AWS Azure or GCP).
• Set up monitoring and observability using Datadog Prometheus/Grafana and LLM-specific tools (LangSmith Weights & Biases).
• Optimize costs through intelligent caching batching strategies and model selection algorithms.
• Ensure enterprise-grade security through authentication authorization secrets management and compliance measures.

Qualifications :

• Expert-level proficiency in Python with modern frameworks (FastAPI Flask).
• Strong TypeScript/JavaScript skills with deep React and experience; proven track record designing and building RESTful and GraphQL APIs.
• Solid understanding of relational (PostgreSQL MySQL) and NoSQL (MongoDB) databases.
• Experience with authentication systems (OAuth2 JWT SSO) and security best practices.
• Proven track record of shipping high-quality scalable software to production.
• Hands-on experience building and deploying AI/ML applications in production environments.
• Deep understanding of LLM integration prompt engineering and context managemen.
• Proven expertise with RAG systems including document processing chunking embedding retrieval and generation.
• Experience working with vector databases (Pinecone Weaviate Chroma FAISS or Qdrant).
• Strong grasp of semantic search similarity algorithms and hybrid search techniques.
• Knowledge of evaluation frameworks for assessing AI system quality and performance.
• Production experience with Docker containerization and Kubernetes orchestration.
• Strong knowledge of at least one major cloud platform (AWS Azure or GCP) and its AI services.
• Experience building CI/CD pipelines for ML/AI application.
• Proficiency with infrastructure as code tools (Terraform CloudFormation Pulumi).
• Understanding of monitoring logging and alerting best practices; cost optimization experience for cloud and AI workloads.
• Strong computer science fundamentals and algorithmic thinking.
• Proficiency with Git workflows code review practices and collaborative development.
• Excellent debugging and problem-solving skills.
• Clear technical communication and documentation abilities.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time