Productivity Tools and Technology Engineer

Overview

Design, build and deploy Agentic and Gen AI solutions that improve operational efficiency and productivity across the software development lifecycle at the Amgen Technology and Innovation Centre.

What you'll do

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

What you'll need

• Master's degree and 4 to 6 years of experience in Software engineering, Data Engineering (DE) or Machine Learning, providing guidance on implementing Gen AI initiatives; OR Bachelor's degree and 6 to 8 years of experience in the same area; OR Diploma and 10 to 12 years of experience in the same area.

Nice to have

• 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.).
• Advanced knowledge of the 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).
• Expertise in integrating and leveraging Gen AI LLMs to maximize operational efficiency.
• Experience developing Agentic workflows and frameworks.
• 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.
• 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.

Details

• Location: India - Hyderabad.