Productivity Tools and Technology Engineer Live What you will do

In this vital role you will be at the forefront of innovation, using their skills to design and implement cutting-edge AI/Gen AI solutions. With an emphasis on creativity, collaboration, and technical excellence, this role provides a unique chance to work on transformative projects that enhance operational efficiency at the Amgen Technology and Innovation Centre while ensuring the protection of critical systems and data.

Roles Responsibilities:

- Design, develop, and deploy Agentic and Gen AI solutions using advanced LLMs like OpenAI API, Open Source LLMs (Llama2, Gemini, Claude ), and frameworks like Langchain, Haystack and Agentic frameworks like Autogen and CrewAI or similar
- Lead efforts in Software engineering/Data Engineering (DE)/Machine Learning and provide guidance on implementing the Agentic AI Initiatives.
- Provide guidance to software engineers for algorithm implementation for solution/product development.
- Design and implement Agentic AI GenAI solutions that drive productivity across all roles in the software development lifecycle and enterprise roles.
- Demonstrate the ability to rapidly learn the latest technologies and develop a vision to embed the solution to improve the operational efficiency within a product team

Win What we expect of you Basic Qualifications:
- Masters degree and 4 to 6 years of experience in Software engineering/Data Engineering (DE)/Machine Learning and provide guidance on implementing the Gen AI Initiatives OR
- Bachelors degree and 6 to 8 years of experience in Software engineering/Data Engineering (DE)/Machine Learning and provide guidance on implementing the Gen AI Initiatives OR




- Diploma and 10 to 12 years of experience in Software engineering/Data Engineering (DE)/Machine Learning and provide guidance on implementing the Gen AI Initiatives .

Preferred Qualifications:
- Proficiency in programming languages such as Python and Java and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, Scipy, Pandas, etc
- Experience with agents and orchestration (AutoGen, CrewAI, LangGraph, etc.)
- Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc.
- Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases
- Familiarity with cloud security (AWS /Azure/ GCP)
- Apply expertise in integrating and leveraging Gen AI LLMs to maximize operational efficiency.
- Experience developing Agentic workflows and frameworks

Good-to-Have Skills:
- Conceptual understanding of DevOps tools (Ansible/ Chef / Puppet / Docker /Jenkins)
- Experience with graph databases (Neo4J and Cypher would be a big plus)
- Exposure to fine-tuning, embeddings, and model optimization
- Experience with Prompt Engineering and familiarity with frameworks such as Dspy

Professional Certifications
- AWS / GCP / Databricks

Soft Skills:

- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills.

📌 Productivity Tools and Technology Engineer (Hyderabad)
🏢 Amgen
📍 Hyderabad