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