2743 - AI/ML Agent Developer

4 weeks ago

Pune, India EXL Full time

Job Title: AI/ML Agent Developer

Location: All EXL Locations

Department: Artificial Intelligence & Data Science


Position 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 LangChain, AutoGen, 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 (PyTorch, TensorFlow, scikit-learn).
  • Experience with LLM frameworks (LangChain, AutoGen, OpenAI, 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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