Job Details
- Experience
- 8–10 years of overall experience in software engineering; 4+ years of hands-on experience in AI/ML engineering
- Required Skills
- AWSDockerPythonGCPAzureLLMMLOpsLangChain
Requirements
- 8–10 years of overall experience in software engineering.
- 4+ years of hands-on experience in AI/ML engineering and deploying production-grade AI solutions.
- Experience building Agentic AI systems, autonomous agents, or LLM-powered applications at scale.
- Expertise in Large Language Models, prompt engineering, fine-tuning, and model optimization.
- Proficiency in Python and AI frameworks such as LangChain, LangGraph.
- Understanding of RAG systems, embeddings, vector databases, and semantic search.
- Hands-on experience with MLOps tools, CI/CD for ML, monitoring, and model governance.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Strong leadership, communication, and stakeholder management skills.
Responsibilities
- Design and architect multi-agent AI systems capable of autonomous reasoning, planning, and task execution across enterprise use cases.
- Build and orchestrate LLM-powered workflows using frameworks such as LangChain, LangGraph, CrewAI, and AutoGen.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, including embedding strategies, vector search, and knowledge grounding.
- Design agent memory systems, context management approaches, and long-term knowledge retention mechanisms.
- Lead prompt engineering strategies and optimize LLM behavior for production-grade performance.
- Build, train, and deploy machine learning models for classification, prediction, recommendation, and anomaly detection.
- Fine-tune foundation models and LLMs using techniques such as LoRA, PEFT, quantization, and instruction tuning.
- Establish and manage end-to-end MLOps pipelines for training, deployment, monitoring, and versioning.
- Deploy and manage AI solutions on cloud platforms such as AWS, Azure, and GCP.
- Lead architectural decisions and mentor engineers.
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