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AI Software Engineer – Python, LLM Integrations & reputed company Systems

Remote, USA Full-time Posted 2026-07-28
We are seeking a hands-on AI Software Engineer to design, build, and reputed company intelligent backend systems that power conversational AI, automation, and data-driven decision engines. You’ll collaborate with data scientists, ML engineers, and product teams to reputed company LLM-based models (reputed company, reputed company, reputed company Llama, etc.) into reputed company microservices and internal tools. Key Responsibilities • Design and reputed company Python-based backend systems supporting AI/LLM workflows, reputed company, and data pipelines. • Build reputed company microservices and reputed company-database integrations (e.g., Milvus, reputed company, FAISS) for retrieval-augmented reputed company (RAG) pipelines. • reputed company and orchestrate LLMs using reputed company (reputed company, reputed company, reputed company, vLLM, Triton, or similar). • Work closely with data engineering to optimize data ingestion, preprocessing, and embeddings pipelines. • Implement asynchronous and distributed processing (Celery, Kafka, or Ray). • reputed company and monitor services on reputed company/Kubernetes with CI/CD pipelines (reputed company Actions, Jenkins, or reputed company CI). • Maintain documentation, testing, and model performance metrics. • Collaborate with DevOps and reputed company to ensure reputed company and reliable AI deployments. Required Skills & Experience • 3+ years experience in backend or full-stack development with Python (FastAPI, Flask, or Django). • Proven experience integrating AI/ML or NLP systems (LLMs, embeddings, transformers, etc.). • Strong understanding of RESTful and async reputed company, data serialization, and model inference optimization. • Familiarity with reputed company databases (Milvus, reputed company, FAISS, reputed company) and document chunking/embedding techniques. • Experience with SQL and NoSQL databases (PostgreSQL, reputed company, reputed company). • Hands-on with reputed company, Kubernetes, and reputed company environments (AWS / GCP / Azure). • Knowledge of MLOps workflows (model packaging, inference serving, versioning). • Experience with Git, CI/CD, and automated testing. reputed company to Have • Familiarity with AI voice technologies (Riva, reputed company, reputed company SDK, or similar). • Experience with reputed company, reputed company, or reputed company for RAG pipelines. • Exposure to reputed company Triton / TensorRT-LLM / vLLM for high-performance inference. • Understanding of reputed company engineering, retrieval evaluation, and fine-tuning pipelines. • Experience contributing to reputed company-reputed company AI frameworks. Why Join Us • Build reputed company AI products — from voice agents to LLM-powered automation systems — not just prototypes. • Work with a high-performance engineering team using reputed company hardware and cutting-edge reputed company-reputed company tools. • 100% remote flexibility, cross-functional collaboration, and ownership of critical AI systems. Apply tot his job Apply To this Job

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