PostgreSQL/pgvector jobs

Design and develop production-quality applications and AI services using Python.
Build Generative AI capabilities using Amazon Bedrock and Large Language Models (LLMs).
Design, develop, test, and optimize prompts and prompt engineering techniques, including prompt templates, structured outputs, and reusable prompt patterns.
Develop Retrieval-Augmented Generation (RAG), intelligent search, embedding, and vector retrieval solutions.
Build AI agents and agent-based workflows using frameworks such as Strands Agents.

Requirements

Nice to have: Strands Agents

Skills

Python REST APIs FastAPI Pydantic boto3 Amazon Bedrock

AI Software Engineer III

V-Soft Consulting Group, Inc · Posted Nov 4, 2026

Open

Farmington Hills, Michigan, United States
Senior
8+ years

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Design, develop, test, and optimize AI software solutions using Python and Amazon Bedrock, building generative AI capabilities, prompt engineering, and AI agents.

Responsibilities

Implement safeguards for AI output quality, reliability, validation, traceability, and secure data handling
Optimize AI solutions for performance, latency, token usage, and cost
Strong hands‑on experience with Python, REST APIs, FastAPI, Pydantic, and boto3
Experience with Amazon Bedrock, LLM integration, and Generative AI solutions
Strong experience with prompt engineering, including prompt design, testing, optimization, structured outputs, and evaluation

Skills

Python REST APIs FastAPI Pydantic boto3 Amazon Bedrock LLM integration Generative AI prompt engineering

PostgreSQL/pgvector jobs

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