What are the responsibilities and job description for the AI/ML Developer position at Axelon Services Corporation?
Job Description :
- Design, develop, and deploy production-grade AI/ML applications powered by Large Language Models (LLMs).
- Build end-to-end intelligent systems using Python and modern AI frameworks.
- Architect and implement Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
- Develop and optimize embedding pipelines and vector database integrations for semantic search and knowledge retrieval.
- Create multi-step, tool-enabled agentic workflows capable of planning, reasoning, execution, and memory management.
- Utilize frameworks such as LangChain and related agent orchestration tools to build scalable AI solutions.
- Integrate AI applications with REST APIs, backend services, databases, and third-party platforms.
- Design scalable, secure, and maintainable system architectures for AI-powered products.
- Deploy and manage AI workloads across cloud environments and distributed systems.
- Establish evaluation frameworks to measure model accuracy, reliability, latency, and cost efficiency.
- Implement monitoring, logging, and observability solutions for AI applications in production.
- Optimize prompts, workflows, and model interactions to improve performance and user experience.
- Collaborate with product, engineering, and business stakeholders to translate requirements into AI-driven solutions.
- Troubleshoot and resolve issues related to model performance, data quality, and system integration.
- Follow software engineering best practices, including testing, version control, CI/CD, and code reviews.
- Stay current with advancements in LLMs, agentic AI, vector databases, and emerging AI technologies.
- Contribute to architecture decisions, technical documentation, and knowledge sharing across teams.
- Ensure AI solutions meet enterprise standards for scalability, security, governance, and compliance