Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
Play a vital role in project design to ensure scalability, reliability, and performance are met
Design and develop new features as well as maintain existing features by adding improvements and fixing defects in complex areas (using Java)
Design and maintain robust AI/ML pipelines using Python and industry-standard ML frameworks.
Collaborate closely with AI researchers and data scientists to implement, test, and deploy machine learning models in production.
Leverage prompt engineering techniques and implement LLM optimization strategies to enhance response quality and performance.
Assist in troubleshooting complex technical problems in development and production
Implement methodologies, processes & tools
Initiate projects and ideas to improve the teams results
On-board and mentor new employees
To ensure youre set up for success, you will bring the following skillset & experience:
Backend Development: FastAPI, RESTful APIs, Python
Cloud Infrastructure: AWS, EKS, Docker, Kubernetes
AI/ML Frameworks: LangChain, Scikit-learn, Bedrock, Hugging Face (optional to add if applicable)
ML Pipelines: Python, Pandas, NumPy, joblib
DevOps & CI/CD: Git, Terraform (optional), Helm, GitHub Actions
LLM Expertise: Prompt engineering, RAG (Retrieval Augmented Generation), vector databases (e.g., FAISS, Pinecone)
You have 12+ years of experience in Java Backend development
You have experience as a Backend Tech Lead
You have experience in Spring, Swagger, REST API
You worked with Spring Boot, Docker, Kubernetes
You are a self-learner whos passionate about problem solving and technology
You are a team player with good communication skills in English (verbal and written)
Whilst these are nice to have, our team can help you develop in the following skills:
Public Cloud (AWS, Azure, GCP)
Python, Node.js, C/C++
Automation Frameworks such as Robot Framework
