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Artificial Intelligence Engineer

4 weeks ago


Bengaluru, India TECHNODYSIS PRIVATE LIMITED Full time

About the job :

Job Title : AI Developer

Experience : 3 - 5 years

Work Location : BTM Layout, Bangalore

Mode : WFO

Key Responsibilities :

- Design and Develop AI Agents : Build, and maintain autonomous AI agents capable of complex reasoning, planning, and tool use.

- LLM Integration and Fine-Tuning : Leverage and fine-tune large language models (LLMs) from providers like OpenAI, Google, and open-source alternatives to serve as the core of our AI agents.

- Framework Implementation : Utilize agentic AI frameworks such as LangChain, AutoGen, and CrewAI to structure and develop agentic workflows.

- Tool and API Integration : Develop and integrate tools and APIs to enable AI agents to interact with various data sources and external systems.

- Data and Knowledge Management : Implement and manage vector databases and knowledge graphs to provide agents with long-term memory and contextual understanding.

- Prototyping and Iteration : Rapidly prototype and iterate on new agentic AI concepts and applications.

- Collaboration : Work closely with cross-functional teams, including product managers, software engineers, and data scientists, to deliver high-quality AI solutions.

- Stay Current : Keep abreast of the latest advancements in agentic AI, LLMs, and machine learning to drive innovation within the company.

Required Qualifications :

- Bachelor's degree in Computer Science, Artificial Intelligence, a related technical field, or equivalent practical experience.

- Proven experience of 3-5 in designing and developing AI/ML models and systems.

- Strong programming skills in Python and familiarity with common machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.

- Hands-on experience with large language models (LLMs) and related concepts like prompt engineering and fine-tuning.

- Familiarity with agentic AI concepts and frameworks (e.g., LangChain, AutoGen).

- Experience with data storage and retrieval systems, including vector databases (e.g., Pinecone, Weaviate).

- Solid understanding of software development best practices, including version control (Git), testing, and CI/CD


(ref:hirist.tech)