This position is posted by Jobgether on behalf of S M Software Solutions Inc. We are currently looking for a Senior Software Engineer in United States.
We are seeking a Senior Software Engineer specializing in Retrieval-Augmented Generation (RAG) systems, large language models (LLMs), and scalable cloud-based microservices. This role focuses on designing, integrating, and optimizing LLM workflows to deliver high-accuracy data retrieval and advanced content generation. You will work closely with engineering peers to build containerized applications, manage vector databases, and leverage AWS cloud services for robust, serverless solutions. Ideal candidates are problem-solvers who thrive in remote or hybrid environments, enjoy working with cutting-edge AI technologies, and can translate complex architectures into efficient, maintainable systems. Your contributions will directly enhance data-driven applications and impact enterprise-scale AI workflows.
· Design, deploy, and optimize RAG workflows using LangChain and vector databases for high-accuracy retrieval and intelligent content generation.
· Integrate and manage vector databases such as Qdrant to support efficient, large-scale data searches.
· Develop serverless and containerized applications using AWS services including Lambda and ECS.
· Build APIs with FastAPI and Uvicorn to ensure low-latency, high-throughput interactions.
· Implement monitoring and observability practices using tools like Datadog and ddtrace to troubleshoot complex workflows and maintain system performance.
· Collaborate with cross-functional teams to align on architecture, deployment strategies, and operational best practices.
Requirements
· Proven experience with LLMs, RAG workflows, LangChain, and vector databases.
· Advanced Python skills (versions >=3.11, <3.12) including asynchronous programming.
· Proficiency with AWS cloud infrastructure, including Lambda and ECS.
· Experience with containerized environments using Docker.
· Familiarity with monitoring and observability tools such as Datadog and logging frameworks.
· Strong problem-solving skills, ability to work independently, and excellent collaboration in remote or hybrid teams.
· Knowledge of MCP servers and scalable microservice architectures is a plus.
Benefits
· Competitive salary aligned with experience and skills.
· Flexible remote or hybrid work arrangements.
· Comprehensive health, dental, and vision coverage.
· Retirement plan options with employer contributions.
· Paid time off, holidays, and professional development opportunities.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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