Generative AI Engineer
Generative AI Engineer
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1 Vacancy
Job Description
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
- Bachelors 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.
Employment Type
Full Time
