Python Backend + AI/ML Engineer with Agentic AI | Racedog Technologies | New York, NY / Atlanta, GA

RaceDog Technologies; New York (NY, GA); On-site; USD 180,000 - 240,000; Full time

Job summary

RaceDog Technologies seeks an exceptional Python Backend + AI/ML Engineer specializing in Agentic AI to join our advanced technology team on a full-time onsite basis in New York or Atlanta. You will architect autonomous AI agents, multi-agent workflows, LLM orchestration pipelines, and scalable Python backends.

The ideal candidate has 12+ years of software engineering, deep Python expertise, and experience with LangChain/AutoGPT and agent architectures. Apply to lead production-grade AI systems.

Qualifications

• Bachelor’s degree in Computer Science, AI, ML, Software Engineering, or related field.
• 12+ years of professional software engineering experience focusing on Python backend and AI/ML.
• Expertise in Agentic AI systems, multi-agent frameworks (LangChain, AutoGen, CrewAI).
• Strong knowledge of LLMs, vector embeddings, RAG architectures, and prompt engineering.
• Experience building scalable RESTful APIs, asynchronous services, and cloud deployments.
• Excellent analytical, problem-solving, and cross-functional communication skills.
• Onsite residency in New York, NY or Atlanta, GA.

Responsibilities

• Architect and deploy advanced Agentic AI systems and autonomous workflows.
• Develop scalable Python backend microservices and real-time LLM inference support.
• Integrate vector databases and RAG pipelines for enterprise retrieval.
• Optimize LLM performance, token management, and latency across distributed workflows.
• Collaborate with AI researchers, data scientists, and clients to translate research to production.
• Implement safety, guardrails, and security for autonomous agents.
• Mentor teams on AI engineering patterns and prompt design.
• Produce documentation, runbooks, and technical reports.

Skills

Python backend

AI/ML

Agentic AI

LangChain

AutoGPT

RESTful APIs

LLMs

Distributed systems

Education

Bachelor’s degree in CS/AI/SE

Tools

LangChain

AutoGen

CrewAI

Pinecone/Weaviate/Milvus

Job description

Position Summary:

We are seeking an exceptionally skilled and experienced Python Backend + AI/ML Engineer specializing in Agentic AI frameworks to join our advanced technology team on a full-time onsite basis in New York or Atlanta, via Racedog Technologies. In this critical artificial intelligence role, you will be responsible for architecting autonomous AI agents, multi-agent workflows, LLM orchestration pipelines, and scalable Python backends. The ideal candidate will bring 12+ years of professional software engineering experience, deep technical mastery in Python, LangChain/AutoGPT, and generative AI agent architectures. If you possess a distinguished background in building production-grade agentic AI systems, we invite you to apply.

Detailed Job Description:

As a Python Backend + AI/ML Engineer with Agentic AI in NY / GA via Racedog Technologies, you will serve as a principal technical authority responsible for pioneering next-generation autonomous AI systems and intelligent automation platforms. Your daily responsibilities will encompass designing multi-agent collaborative frameworks, fine-tuning LLM interactions, building vector database retrieval systems, and optimizing Python microservices. You will collaborate closely with AI researchers, data scientists, and enterprise clients. Candidates are required to submit their updated resume via email to Raju Varma at [e-mail].

Key Responsibilities:

• Architect, design, and deploy advanced Agentic AI systems, multi-agent collaboration frameworks, and autonomous workflow engines.
• Develop scalable Python backend microservices and APIs to support real-time LLM inference, prompt orchestration, and tool execution.
• Integrate vector databases (Pinecone, Weaviate, Milvus) and Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.
• Optimize LLM performance, token management, cost efficiency, and latency across distributed AI agent workflows.
• Collaborate proactively with data scientists and machine learning engineers to translate cutting-edge AI research into production software.
• Implement rigorous evaluation metrics, guardrails, and safety protocols for autonomous agent decision-making.
• Ensure secure API integrations, authentication, and data privacy compliance across generative AI applications.
• Participate in agile sprint planning, technical backlog grooming, and AI architecture review boards.
• Mentor engineering teams on modern AI engineering patterns, prompt engineering, and agentic design principles.
• Author comprehensive technical documentation, AI model evaluation reports, and integration runbooks.

Required Qualifications & Skills:

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related discipline.
• Minimum of 12+ years of professional software engineering experience, with specialized expertise in Python backend development and AI/ML.
• Deep practical proficiency in building Agentic AI systems, multi-agent frameworks (LangChain, AutoGen, CrewAI, Agentic-2 patterns).
• Strong working knowledge of Large Language Models (LLMs), vector embeddings, RAG architectures, and prompt engineering.
• Proven practical experience building scalable RESTful APIs, asynchronous Python services, and cloud deployments.
• Outstanding analytical problem-solving, innovation, and cross-functional communication capabilities.
• Mandatory residency/work authorization: Ability to operate fully onsite in New York, NY or Atlanta, GA.

Nice-to-Have Skills:

• Advanced degrees (Master’s or Ph.D.) in Artificial Intelligence, Computer Science, or Computational Linguistics.
• Prior professional experience deploying enterprise generative AI applications in financial services or tech sectors.
• Familiarity with MLOps platforms (MLflow, Kubeflow) and cloud GPU infrastructure (AWS SageMaker/Bedrock).
• Immediate availability for onsite mobilization in NY or GA.

Recruitment Pro Tip:

When applying for this Python & Agentic AI Engineer position with Racedog Technologies, ensure your resume explicitly highlights your multi-agent framework portfolio (AutoGen/LangChain), your RAG implementation experience, and your advanced Python backend expertise.

• Email: [e-mail]
• Salary/Rate: Competitive market rate
• Deadline: Immediate
• Notice Period: Immediate to 30 Days
• Contract Duration: Full Time / Permanent