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Vector Development Jobs in Canton, GA (NOW HIRING)

MUST HAVE SKILLS (Most Important): 8 years of Application Development and Technology Experience ... Vector Databases : Proficiency in using vector databases and Retrieval-Augmented Generation (RAG ...

Lead AI Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Experience working with vector databases, knowledge graphs, and RAG pipeline development * Advising on best practices for AI agent development and enterprise AI integration processes * Experience in ...

Solutions Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

The role provides technical leadership to application development teams, establishing standards for ... Provide baseline architecture for secure LLM deployments (model selection, RAG/vector stores ...

SOFTWARE DEVELOPMENT: Develops core platform services and automation using Python under guidance ... Assists with implementing and testing integrations across gateway, models, tools and vector stores ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... vector search and ML personalization model signals to optimize relevance and user experience * Contributing to the design and development of scalable serving systems for ML and GenAI/LLM models

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... vector search and ML personalization model signals to optimize relevance and user experience * Contributing to the design and development of scalable serving systems for ML and GenAI/LLM models

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Vector Development information

What is the difference between Vector Development vs Data Analyst?

AspectVector DevelopmentData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; programming skillsBachelor's in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, R&D labs, software development teamsBusiness, finance, healthcare, and marketing sectors
Industry UsageAI, machine learning, computer vision, roboticsData interpretation, reporting, business insights

Vector Development involves creating algorithms and models for AI and machine learning applications, often requiring programming expertise. Data Analysts focus on interpreting data, generating reports, and providing insights to support business decisions. While both roles work with data and require analytical skills, Vector Developers are more technical and programming-oriented, whereas Data Analysts emphasize data interpretation and communication.

What job categories do people searching Vector Development jobs in Canton, GA look for? The top searched job categories for Vector Development jobs in Canton, GA are:
Infographic showing various Vector Development job openings in Canton, GA as of May 2026, with employment types broken down into 1% Internship, 16% Full Time, 81% Part Time, 1% Temporary, and 1% Contract. Highlights an 64% Physical, 5% Hybrid, and 31% Remote job distribution.

Data Scientist with Python AI/ML

Accord Technologies Inc.

Atlanta, GA • On-site

Contractor

Posted 23 days ago


Job description

Title : Data Scientist with Python AI/ML
Location: Atlanta, GA (Inperson interview needed)
Position type: W2 contract.

Job Description:

We are looking for a highly capable Technical Lead –Python & AI/ML with deep expertise in backend engineering, LLM-based applications, RAG architectures, and AI agent frameworks.
You will lead the design, development, and deployment of production-grade AI systems built on Python, modern LLM tooling, retrieval engines, embeddings, and vector databases.
This is a hands-on leadership role focused on building scalable and intelligent AI products.

Investment Banking and financial domain is needed.


Key Responsibilities

  • Lead the architecture and development of LLM-driven applications, AI agents, and RAG-based systems.
  • Provide technical guidance, conduct code reviews, and mentor junior team members.
  • Drive best practices in Python backend engineering, API development, and AI system design.

Backend Engineering (Python)

  • Build and maintain backend services using FastAPI or Flask.
  • Develop scalable API endpoints for AI applications, embeddings, and retrieval systems.
  • Ensure backend code quality, modularity, performance, and maintainability.

LLMs, RAG, and AI Agent Development

  • Build AI applications using: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen

•       Develop autonomous or semi-autonomous AI agents with tool calling and workflow graphs.

•       Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques.

•       Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere, etc.).

•       Manage prompt engineering, prompt routing, safety guardrails, and evaluation metrics.

Data & Vector Search Engineering

•       Build data pipelines for indexing, embeddings, and retrieval workflows.

•       Work with SQL databases (PostgreSQL, MySQL, etc.) for metadata and application storage.

•       Work with vector databases such as: RedisPostgres with pgvectorElasticsearchNeo4j, or others.

•       Implement and optimize search workflows using FAISS or similar similarity search libraries.

MLOps, Deployment & Observability

•       Deploy AI services using Docker, container orchestration, and cloud environments.

•       Implement monitoring for AI behavior, performance, error rates, and retrieval accuracy.

•       Set up CI/CD pipelines for backend and AI components.

•       Optimize inference cost, latency, and reliability.

Cross-Functional Collaboration

•       Collaborate with product, data engineering, and business teams to understand requirements.

•       Translate business problems into scalable AI architectures and deliver practical solutions.

•       Communicate technical decisions, trade-offs, and progress to stakeholders.


Required Qualifications

•       Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.

•       10+ years of experience in Python backend development.

•       Strong proficiency in FastAPI or Flask.

•       Strong working knowledge of SQL databases (Postgres, MySQL, etc.).

•  Hands-on expertise with vector databases:
RedisPostgres/pgvectorElasticsearch, or Neo4j.

•       Practical experience with FAISS for similarity search.

•       Hands-on experience with modern LLM frameworks:
LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen.

•       Strong understanding of:

  • Embeddings & vector search
  • RAG pipelines
  • Retrieval optimization
  • Chunking strategies
  • Document loaders & indexing

•       Experience building AI apps using OpenAI SDK or similar.

•       Experience deploying APIs/services using Docker and cloud environments.

•       Leadership experience: guiding teams, conducting reviews, driving architecture decisions.