AI Software Engineer - NLP/LLM

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