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IND Senior Staff Software Engineer

The Hartford
Telangana, IND
Full-time
Senior
Onsite
Discovered 1 months ago
PythonJavaC++AWSAzureGCP

Full Job Posting

Key Responsibilities

  • Develop Algorithms that enable AI agents to perform tasks without step-by-step instructions.
  • Design and implement agentic AI systems capable of autonomous decision-making, learning from experience, and adapting to dynamic goals and contexts
  • Design and develop multi-agent frameworks using tools such as LangGraph , Crew AI, or Semantic Kernel to orchestrate intelligent workflows.
  • Design and develop machine learning techniques that allow agents to learn from experience and adapt over time.
  • Translate business requirements into agentic AI solutions.
  • Collaborate with data scientists, software engineers, business stakeholders, and product teams to integrate AI solutions into production systems.
  • Conduct context and prompt engineering using zero-shot, few-shot, and chain-of-thought techniques to enhance model performance and relevance.
  • Optimize agents based on different models for performance, scalability, and accuracy.
  • Ensure ethical AI practices and compliance with data privacy regulations.
  • Document processes, models, and code for transparency and reproducibility.
  • Conduct research and stay up to date with the latest advancements in AI/ML technologies.

Required Skills & Experience

  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong foundation in AI/ML algorithms, data structures, and software engineering principles.
  • Understanding of cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions.
  • Familiarity with MLOps tools and practices (e.g., MLflow , Kubeflow, Docker for CI/CD).
  • Solid knowledge of data structures, algorithms, and software engineering principles.
  • Experience with agent orchestration, LLMOps , and model lifecycle management, vector search, information retrieval, graph algorithms and knowledge grap h.
  • Experience with version control systems (e.g., Git).
  • Familiarity with agent orchestration platforms and enterprise integration.
  • Strong problem-solving skills and ability to work independently and collaboratively.

Preferred Skills & Experience

  • Experience with natural language processing (NLP), computer vision, or reinforcement learning.
  • Knowledge of generative AI and foundation models (e.g., Gemini, Claude).
  • Experience with real-time inference systems and edge AI.
  • Background in mathematics, statistics, or computational neuroscience.
  • Understanding of LLM (Large Language Model) & LRM (Large Reasoning Model)
  • Understanding of AI ethics, bias mitigation, and explainable AI.
  • About Us | Our Culture | What It’s Like to Work Here

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