Description :
Role : Principal AI Software Engineer
Exp : 8 to 12 Years
Location : Bangalore
Mode - Hybrid
Payroll : Product based Company (Fulltime)
Must Have Skills : Python , Java , Javascript / Typescript ,Docker , Kubernetes , LLM , NLP , Prompt Engineering , Aws / Azure / GCP.
Education - Masters degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields is mandatory.
Expertise with AI / ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
AI Agent Engineer
Core Technical Skills :
- Proficiency in Python and / or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
- Expertise with AI / ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
- Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
- Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
- Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.
- Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
- Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
- Awareness of AI ethics, data privacy, and secure handling of sensitive information.
Key Responsibilities :
Design, implement, and optimize AI Agents using LLMs, reinforcement learning, planning algorithms, and decision-making frameworks.Develop scalable multi AI Agent architectures supporting long horizon reasoning, autonomy, planning, interaction, and complex task completion.Integrate AI Agents with APIs, backend services, databases, and enterprise applications.Prototype, deploy, and maintain AI-driven systems ensuring reliability and performance in production environments.Optimize agent behavior through continuous feedback, reinforcement learning, and user interaction.Collaborate closely with research, engineering, product, and deployment teams to iterate on agent capabilities and innovate continuously.Monitor AI Agent performance, conduct rigorous evaluations, implement safety guardrails, and ensure ethical AI practices.Document AI Agent architectures, design decisions, workflows, and maintain comprehensive technical documentation.Stay current with emerging AI technologies, contribute to platform and tooling improvements, and share knowledge within the team.Your mission is to push the boundaries of planning, reasoning, and agentic intelligence. You will design and implement large-scale AI / ML solutions integrating the latest state of the art research in our global products(ref : hirist.tech)