2743 - ai/ml agent developer

7 days ago


Pune, India EXL Full time

Job Title: AI/ML Agent DeveloperLocation: All EXL LocationsDepartment: Artificial Intelligence & Data SciencePosition Summary:We are seeking an experienced and innovative AI/ML Agent Developer to design, develop, and deploy intelligent agents within a multi-agent orchestration framework. This role involves building autonomous agents that leverage LLMs, reinforcement learning, prompt engineering, and decision-making strategies to perform complex data and workflow tasks. You’ll work closely with cross-functional teams to operationalize AI across diverse use cases such as annotation, data quality, knowledge graph construction, and enterprise automation.Key Responsibilities:- Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like Lang Chain, Auto Gen, or Semantic Kernel.- Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection).- Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops.- Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management.- Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments.- Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability.- Monitor and refine agent performance using logging, observability tools, and feedback signals.Required Qualifications:- Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field.- 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation.- Proficiency in Python and ML libraries (Py Torch, Tensor Flow, scikit-learn).- Experience with LLM frameworks (Lang Chain, Auto Gen, Open AI, Anthropic, Hugging Face Transformers).- Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems.- Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems.Preferred Skills:- Familiarity with multi-agent frameworks and agent orchestration design patterns.- Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction.- Background in human-in-the-loop systems, active learning, or interactive AI workflows.- Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search.



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