Senior AI/ML Engineer-Generative AI & LLMs

Job Description

Job DescriptionLead AI/ML Engineer - Generative AI LLMs (LangChain, Python, MLOps)

Build and lead production-grade generative AI solutions, LLM applications, and MLOps infrastructure across cloud-native environments.

Experience:& 10 - 25 Years& Mandatory Skills:& LangChain
LangGraph
Python
JavaScript
AWS Bedrock
Orchestration
PyTorch/TensorFlow/Hugging Face
MLOpsWhat You’ll Do

Lead and deliver end-to-end AI solutions. Responsibilities are grouped for quick scanning:

• Architecture System Design
  • Architect and implement advanced AI and machine learning systems that solve complex business problems.
  • Design scalable, cloud-native AI architectures (including AWS) and production ML infrastructure.
• LLM Applications Generative AI
  • Lead the design and deployment of LLM-based applications using frameworks like LangChain, LlamaIndex, and vector databases.
  • Design and build AI copilots, agents, and generative workflows that integrate seamlessly into modern software ecosystems.
• Modeling Engineering
  • Develop end-to-end ML pipelines from data acquisition and model training to deployment and monitoring.
  • 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.
  • Explore and implement retrieval-augmented generation (RAG), semantic search, and multi-modal reasoning techniques.
• MLOps Deployment
  • Lead model deployment, orchestration, monitoring, and lifecycle management using MLOps best practices.
  • Contribute to internal AI frameworks, toolkits, and accelerators to speed up solution delivery.
• Leadership Collaboration
  • Collaborate with cross-functional product, design, and engineering teams to define intelligent experiences.
  • Mentor engineers on AI architecture, model lifecycle best practices, and ethical/secure use of machine learning.
  • Drive client-facing AI strategy conversations and champion experimentation and innovation.

Requirements

You’ll bring:

• 10+ 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