Generative AI Engineer

Hiring: W2 Candidates Only

Location: USA

Visa: Open to any visa type with valid work authorization in the USA

Experience Required: 6 to 12 years

Level: Mid to Lead positions

RESPONSIBILITIES

• Solution Design & Development: Design, develop, and maintain AI-powered applications that integrate existing LLMs with internal systems to automate workflows and optimize processes.
• API Integration: Develop APIs and data pipelines to seamlessly connect LLMs with internal and external systems, ensuring secure and scalable data exchange.
• LLM Optimization: Optimize LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), context management, and performance tuning.
• Platform Evaluation: Assess and compare LLM platforms and tools (e.g., OpenAI, Anthropic, Google) to select the best fit for business needs and technical scalability.
• Collaboration & Requirements Gathering: Partner with product managers, engineers, and stakeholders to define AI-driven solutions that align with business objectives.
• Testing & Monitoring: Implement robust testing and monitoring strategies to ensure performance, reliability, and security of LLM-powered applications.
• Best Practices & Documentation: Contribute to organizational AI best practices, including guidelines on LLM utilization and maintaining well-documented AI solutions.
• Troubleshooting & Issue Resolution: Identify and resolve LLM integration issues, performance bottlenecks, and data pipeline inconsistencies.
• Continuous Learning: Research and apply emerging LLM advancements, best practices, and industry trends to enhance AI-powered applications.
• Code Review & Quality Assurance: Participate in code reviews, ensuring high-quality, maintainable, and well-documented codebases.

QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in software development, with strong object-oriented programming and design principles.
• Experience working with LLMs and related AI frameworks (e.g., LangChain, Vector Databases, RAG).
• Proficiency in at least one programming language (e.g., Python, Java, JavaScript).
• Experience with API development and integration (RESTful APIs, GraphQL, cloud-based services).
• Experience deploying AI solutions in cloud environments (AWS, Azure, Google Cloud Platform, Kubernetes, Serverless).
• Strong problem-solving and analytical skills.
• Excellent communication and cross-functional collaboration skills.
• Passion for AI innovation and automation.