- Design develop and implement scalable Generative AI solutions using modern technology stacks
- Build API-based AI solutions and debug complex software and design issues
- Integrate Large Language Models such as OpenAI GPT PaLM 2 Claude Cohere or Dolly using API endpoints
- Apply prompt engineering techniques to optimize model performance and outputs
- Implement LLM orchestration and agent-based solutions using frameworks such as LangChain
- Design and utilize vector databases including Pinecone Chroma or FAISS
- Rapidly prototype experiment with and evaluate new LLM models and features
- Build and maintain data pipelines supporting AI and analytics solutions
- Load and transform structured and unstructured data from multiple source systems
- Collaborate closely with GenAI leads product owners and engineering teams to deliver backlog requirements
- Troubleshoot optimize and enhance AI-driven systems in production environments
Skills and Experience
- Minimum 5 years of implementation experience in data analytics or senior software development roles
- Strong background in AI and machine learning with a focus on Generative AI
- Proficiency in Python PySpark or Java for AI and data-driven development
- Experience designing and delivering scalable API-driven architectures
- Hands-on experience integrating enterprise-grade Large Language Models
- Strong understanding of prompt engineering and LLM behavior
- Experience working with LLM agents and vector databases
- Solid data engineering fundamentals including ETL and pipeline development
- Strong analytical problem-solving and experimentation skills
Desirable Skills
- Hands-on experience with cloud platforms such as AWS Azure or GCP
- Experience using cloud services for storage serverless computing search transcription and chat
- Extensive experience with data engineering and ETL tools
- Experience working in agile and product-led environments
Education
- Bachelors or Masters degree in Computer Science Statistics Mathematics or a related field
Design develop and implement scalable Generative AI solutions using modern technology stacksBuild API-based AI solutions and debug complex software and design issuesIntegrate Large Language Models such as OpenAI GPT PaLM 2 Claude Cohere or Dolly using API endpointsApply prompt engineering techniques...
- Design develop and implement scalable Generative AI solutions using modern technology stacks
- Build API-based AI solutions and debug complex software and design issues
- Integrate Large Language Models such as OpenAI GPT PaLM 2 Claude Cohere or Dolly using API endpoints
- Apply prompt engineering techniques to optimize model performance and outputs
- Implement LLM orchestration and agent-based solutions using frameworks such as LangChain
- Design and utilize vector databases including Pinecone Chroma or FAISS
- Rapidly prototype experiment with and evaluate new LLM models and features
- Build and maintain data pipelines supporting AI and analytics solutions
- Load and transform structured and unstructured data from multiple source systems
- Collaborate closely with GenAI leads product owners and engineering teams to deliver backlog requirements
- Troubleshoot optimize and enhance AI-driven systems in production environments
Skills and Experience
- Minimum 5 years of implementation experience in data analytics or senior software development roles
- Strong background in AI and machine learning with a focus on Generative AI
- Proficiency in Python PySpark or Java for AI and data-driven development
- Experience designing and delivering scalable API-driven architectures
- Hands-on experience integrating enterprise-grade Large Language Models
- Strong understanding of prompt engineering and LLM behavior
- Experience working with LLM agents and vector databases
- Solid data engineering fundamentals including ETL and pipeline development
- Strong analytical problem-solving and experimentation skills
Desirable Skills
- Hands-on experience with cloud platforms such as AWS Azure or GCP
- Experience using cloud services for storage serverless computing search transcription and chat
- Extensive experience with data engineering and ETL tools
- Experience working in agile and product-led environments
Education
- Bachelors or Masters degree in Computer Science Statistics Mathematics or a related field
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