Senior AI Engineer

We are seeking a seasoned and hands-on Senior AI Engineer to lead the architecture, engineering, and deployment of production-grade AI systems and intelligent workflows. In this role, you will bridge state-of-the-art AI research with scalable cloud software engineering. You will lead technical direction, design resilient agentic systems and Retrieval-Augmented Generation (RAG) architectures, fine-tune models, and optimize low-latency inference pipelines. As a senior engineering leader, you will mentor team members, establish MLOps best practices, and work directly with executive leadership to transform complex business challenges into production-ready AI solutions. • Architect, build, and deploy end-to-end production AI applications, multi-agent systems, and RAG architectures using modern frameworks (LangChain, LlamaIndex, AutoGen, CrewAI). • Design, implement, and maintain high-throughput data processing and embedding pipelines, integrating vector databases and hybrid search mechanisms. • Fine-tune open-weight models (LLaMA, Mistral, Qwen) using techniques like LoRA, QLoRA, and DPO/RLHF, optimizing model inference via quantization, vLLM, TensorRT-LLM, and ONNX Runtime. • Build resilient microservices and low-latency REST/gRPC APIs using Python (FastAPI), containerizing models with Docker and orchestrating workloads on cloud infrastructure. • Implement production MLOps practices, including automated retraining, model versioning, prompt tracking, and experiment monitoring (MLflow, Weights & Biases, Arize). • Establish observability, guardrails, and evaluation frameworks (Ragas, TruLens, Guardrails AI, NeMo) to track model drift, hallucination rates, latency, cost, and output quality. • Drive engineering standards through code reviews, technical design documents, system architecture planning, and mentoring junior/mid-level engineers. • Stay current with fast-evolving AI literature, open-source model releases, and emerging frameworks to continually enhance application performance and velocity. Required Technical Skills • Core Languages & Systems: Python (expert level), Rust or C++ (strong plus), Data Structures, Systems Architecture, Concurrent Programming • AI, LLMs & Frameworks: PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, vLLM, DeepSpeed, Ollama • Fine-Tuning & Optimization: LoRA/QLoRA, PEFT, Unsloth, TensorRT-LLM, Quantization (GGUF, AWQ, GPTQ) • Vector Databases & Search: Qdrant, Pinecone, Milvus, Weaviate, FAISS, Elasticsearch/OpenSearch (Hybrid Search & Reranking) • API & Microservices: FastAPI, gRPC, RESTful APIs, Docker, Kubernetes, Ray • MLOps & Evaluation: MLflow, Weights & Biases, Phoenix/Arize, Ragas, LangSmith, DVC, GitHub Actions • Cloud & Infrastructure: AWS (SageMaker, Bedrock, EC2, EKS), GCP (Vertex AI), or Azure AI, GPU orchestration (NVIDIA CUDA) Preferred Qualifications • Proven track record of taking complex LLM applications or multi-agent systems from concept to high-scale production serving real customer traffic. • Experience with function calling, tool-use agents, and structured outputs in mission-critical applications. • Familiarity with privacy-preserving AI, enterprise compliance, and secure model deployment standards. • Active contributions to open-source AI frameworks, technical publications, or relevant AI community projects.