Senior Developer

J

Key Responsibilities
Design & Development
Architect and implement a robust data ingestion pipeline using Python.
Integrate with Hadoop and/or internal APIs to source structured and unstructured data.
Design modular components for data transformation, enrichment, and routing to downstream NLP models.
LLM Integration
Incorporate Llama models for classification and summarization tasks.
Use prompt orchestration, chaining, and context-aware techniques to improve NLP accuracy and consistency.
Ensure performance, scalability, and stability of LLM-based components in production environments.
Collaboration & Engineering Practices
Partner with data engineers, product owners, and ML researchers to refine use cases and deliver high-quality solutions.
Follow modern software engineering best practices including testing, CI/CD, and documentation.
Participate in design reviews and knowledge-sharing sessions.
Required Qualifications
2+ years of professional experience in Python software development.
Proven experience working with big data systems, particularly Hadoop, PySpark, or related technologies.
Practical experience using LLMs, especially Llama or similar open-source models.
Familiarity with NLP tasks such as classification, summarization, and information extraction.
Experience building or maintaining APIs and microservices.
Preferred Qualifications
Experience with Model Context Protocol (MCP) for managing prompts and contextual data across LLM applications.
Proficiency with vector databases, embedding pipelines, and retrieval-augmented generation (RAG) architectures.
Familiarity with LLMOps tools and scalable inference strategies.
Prior experience with LangChain, Hugging Face Transformers, or vLLM runtime environments.
Data science–related experience, including collaboration on model training and evaluation, feature engineering, or experimentation pipelines.
Background in financial services, enterprise software, or regulated environments.
Published Description