GEN AI Developer

Job summary

Develop generative AI solutions using AWS services, LLMs, vector databases, and AI development frameworks. Support AI workflow observability and apply governance, bias mitigation, and responsible AI practices.

Job details

Preferred Skills Familiarity with AWS services (Bedrock, Lambda, S3, DynamoDB, Postgres/PGVector). Knowledge of containerization (Docker) and CI/CD pipelines. Experience with vector databases, embedding models, and LLM fine-tuning. Understanding of AI governance, bias mitigation, and responsible AI frameworks. Proficiency with FastAPI, LangChain, LangGraph, Bedrock, Anthropic APIs. Experience with observability tools for AI workflows.

What you’ll do

Develop generative AI solutions using AWS services, LLMs, vector databases, and AI development frameworks. Support AI workflow observability and apply governance, bias mitigation, and responsible AI practices.

Requirements

The posting prefers familiarity with AWS Bedrock, Lambda, S3, DynamoDB, PostgreSQL/PGVector, Docker, and CI/CD pipelines. It also seeks experience with vector databases, embedding models, LLM fine-tuning, FastAPI, LangChain, LangGraph, Anthropic APIs, AI observability, and responsible AI practices.

Listed skills

• CI/CD · Preferred
• PostgreSQL · Preferred
• Docker · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AWS Bedrock
• AWS Lambda
• Amazon S3
• Amazon DynamoDB
• PostgreSQL
• PGVector
• Docker
• CI/CD
• Vector Databases
• Embedding Models
• LLM Fine-Tuning
• AI Governance
• Bias Mitigation
• Responsible AI
• FastAPI
• LangChain

Job areas

• Technology
• Software
• Data & Analytics

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