Senior AI Engineer

Job Role :- Senior AI Engineer

Location :- Dallas , TX (Onsite)

Duration :- Fulltime

Experience Required :- 10-20 Years

Job Description :-

• Architect and implement advanced AI and machine learning systems that solve complex business problems
• Lead the design and deployment of LLM-based applications using frameworks like LangChain, LlamaIndex, and vector databases
• Develop end-to-end ML pipelines from data acquisition and model training to deployment and monitoring
• Design and build AI copilots, agents, and generative workflows that integrate seamlessly into modern software ecosystems
• Apply deep expertise in NLP, computer vision, or predictive modeling to build intelligent, real-time systems
• Evaluate and fine-tune foundation models for custom enterprise use cases
• Collaborate with cross-functional product, design, and engineering teams to define intelligent experiences
• Explore and implement retrieval-augmented generation (RAG), semantic search, and multi-modal reasoning techniques
• Contribute to internal AI frameworks, toolkits, and accelerators to speed up solution delivery
• Mentor engineers on AI architecture, model lifecycle best practices, and ethical/secure use of machine learning

Requirements

• 8+ years of software engineering experience with a strong focus on AI/ML and intelligent systems
• 3+ years in a technical leadership role, building and deploying machine learning systems in production
• Deep expertise in Python and modern AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers)
• Experience with large language models (OpenAI, Anthropic, Cohere, open source LLMs) and prompt engineering
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and scalable ML infrastructure
• Knowledge of AI system design, data engineering for ML, model evaluation, and MLOps practices
• Experience integrating AI capabilities into full-stack applications and cloud-native environments, specifically within AWS.
• Strong communication skills and a consulting mindset able to confidently lead client-facing discussions on AI strategy
• Passion for experimentation, innovation, and shaping the future of applied AI

Must Have Skills :-

• LangChain
• LangGraph
• Python
• JavaScript
• AWS Bedrock
• Orchestration
• PyTorch/TensorFlow/Hugging Face

MLOps