Senior Python Developer

5 - 10 years

6 - 10 Lacs

Noida

Posted:17 hours ago| Platform: Naukri logo

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Skills Required

Backend orchestration data science Architecture Workflow management Debugging Machine learning Programming Analytics Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Senior Python Developer LLM Agent Development (Remote, Contract) Senior Python Developer LLM Agent Development (Remote, Contract) Noida , India Experience Required: 5+ Years Remote Contract Up to 1,70,000 per month Employment Type: Compensation: About the Role We are looking for a Senior Python Developer (LLM Agent Development) with deep expertise in Large Language Models (LLMs), backend development, and agent orchestration frameworks. This is a hands-on engineering role focused on building production-grade AI systems, not a data science, analytics, or annotation role. Senior Python Developer (LLM Agent Development) hands-on engineering role You will be working on cutting-edge AI projects that involve building intelligent agents, integrating LLMs into real-world systems, and designing scalable backend architectures. This is an excellent opportunity for engineers who want to work on advanced LLM pipelines, including LangChain, LangGraph, RAG pipelines, and agent frameworks . LangChain, LangGraph, RAG pipelines, and agent frameworks Key Responsibilities Design, build, and maintain high-performance backend systems using Python. Develop and optimize LLM-powered applications with focus on agent orchestration, workflow management, and system reliability. Integrate LangChain, LangGraph, Retrieval-Augmented Generation (RAG) pipelines , and other agent frameworks into scalable production environments. Collaborate with cross-functional teams to ensure system stability, scalability, and maintainability. Build secure, efficient, and well-documented APIs that integrate with LLM services. Troubleshoot, optimize, and scale LLM-driven systems for performance and cost efficiency. LLM-powered applications LangChain, LangGraph, Retrieval-Augmented Generation (RAG) pipelines Required Skills & Qualifications 5+ years of professional experience as a backend or full-stack engineer with a strong backend focus. Expert-level Python programming skills. Proven experience integrating Large Language Models (LLMs) into production systems. Hands-on experience with: Expert-level Python programming skills. Large Language Models (LLMs) LangChain LangGraph RAG Pipelines Agent Frameworks Strong understanding of API design, microservices architecture, and production deployment workflows. Solid experience with cloud platforms, containerization (Docker, Kubernetes), and CI/CD pipelines. Background in Machine Learning Engineering is a strong plus . Excellent problem-solving and debugging skills. Ability to work independently and deliver high-quality work on time. strong plus Nice to Have (Bonus Skills) Experience working with vector databases (Pinecone, FAISS, Weaviate, etc.) Familiarity with prompt engineering and LLM fine-tuning. Experience in serverless architecture and event-driven systems. Exposure to multi-modal AI systems (text, image, audio). Why Work with AquSag Technologies? 100% remote work flexible location. Work on cutting-edge AI projects with leading LLM companies. Join a fast-growing team at the forefront of AI integration and intelligent agent development. Potential for long-term contract extensions based on performance and project needs. remote work cutting-edge AI projects Python Developer, Backend Engineer, LLM Integration, LangChain, LangGraph, RAG Pipelines, Agent Frameworks, AI Engineer, Large Language Models, Machine Learning Engineer, Remote Python Jobs, Contract Python Developer, AI Software Engineer, API Developer, Generative AI, GPT, OpenAI, Vector Databases, Prompt Engineering, ML Ops, Remote AI Engineer. Apply Now Apply Now and be a part of building next-generation AI-powered systems!

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Aqusag Technologies
Aqusag Technologies

IT Services and IT Consulting

Middletown Delaware

51-200 Employees

22 Jobs

    Key People

  • Jane Doe

    CEO
  • John Smith

    CTO

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