Senior Software Engineer Gen AI/,Python, AWS Sagemaker / RAG Systems

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Gen AI
Python
AWS Sagemaker
RAG Systems
LangChain
LLM
Microservices
Database Administration
FOCUS
Large Language Models (LLMs)
Management
API
Amazon Web Services
Backend Development
Cloud Computing
Docker
Microsoft Certified Professional
Reporting
Servers
Vector Databases
Workflow

Job Details

Position: Senior Software Engineer Gen AI/,Python, AWS Sage maker / RAG Systems

Location : Preferred: Costa Mesa, Dallas , Phoenix

Hybrid: 3 days/week in-office preferred

We are looking for a Senior Software Engineer specializing in Retrieval-Augmented Generation (RAG) systems, with experience in large language models (LLMs), vector databases, and cloud-based microservices. Your role will focus on building, integrating, and optimizing LLM workflows using LangChain and managing complex infrastructure with AWS services like Lambda and ECS. You'll bring expertise in containerized environments, using Docker, and work with vector databases to power data-driven applications. You will report to a Staff Software Engineer and work remote in the United States or hybrid based on proximity to our office.

You'll Have Opportunity To

RAG Workflow Development: Design and deploy LLM-driven RAG workflows using LangChain and vector databases to provide high-accuracy data retrieval and enhanced content generation.

Vector Database Management: Integrate and manage vector databases like Qdrant for optimized, high-speed vector searches and data retrieval.

Cloud Computing: Use AWS services, including Lambda and ECS, to build serverless architectures and scalable containerized applications.

API & Backend Development: Build APIs with FastAPI and Uvicorn to support low-latency interactions and handle high traffic volumes.

Monitoring & Observability: Implement observability best practices using Datadog, ddtrace, and logging tools to maintain performance and troubleshoot complex workflows.

Required Skills:

Proficiency in LLM and RAG Workflows: experience with LangChain and vector databases, applying RAG techniques for intelligent data retrieval and generation.

Python Proficiency (>=3.11, <3.12): Advanced Python skills, including experience with asynchronous programming.

Proficient in AWS environment

Understanding of MCP Servers

Alchemy: Transforming Your Professional Vision into Reality

Since our inception in 2013, Alchemy has been dedicated to reshaping organizational performance through innovative IT services. With a vision to empower businesses seeking a transformative edge, we ve positioned ourselves at the forefront of digitization and software modernization.

Our name reflects our mission: to transmute technology into gold-standard solutions for our esteemed clients. We proudly serve a diverse range of sectors, including IT and ITES, BFSI, Telecom and Media, Automotive, Manufacturing, Energy, Oil and Gas, Real Estate, Retail, Healthcare, and more.

With a global footprint spanning the USA, India, Europe, Canada, Singapore, Japan, and parts of Central and West Africa, we harness a unique blend of competencies, frameworks, and cutting-edge technologies. Together, we drive growth and innovation across industries, helping organizations turn their visions into reality.

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