Senior Software Engineer

Brainpool AI; United States; On-site; USD 150,000 - 180,000; Full time

Job summary

A leading AI start-up is seeking a Mid-Senior Software Engineer to develop cutting-edge AI solutions. Collaborate with the CTO and engineers on projects involving LLM integration, RAG systems, and REST API development. Ideal candidates will have strong Python skills and experience with AWS services. Join a dynamic team focused on delivering innovative AI applications.

Qualifications

• Strong experience with Python for production-grade AI applications.
• Experience with LLM frameworks like LlamaIndex or LangChain.
• Solid understanding of AWS services, especially Bedrock and ECS.

Responsibilities

• Design and implement RAG pipelines for complex document processing.
• Develop LLM integration systems with AWS Bedrock.
• Create evaluation frameworks for benchmarking LLM performance.

Skills

Python

Strong communication skills

Experience with LLM frameworks

Understanding of AWS services

Experience with Docker

Familiarity with REST API development

Knowledge of vector databases

Education

BSc or MSc in Computer Science

Data Science

Tools

AWS Bedrock

FastAPI

Docker

Qdrant

Job description

Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end-to-end AI solutions, starting from strategy development, planning all the way to implementation.

This role will involve working alongside the CTO and a team of engineers to develop cutting-edge AI solutions for client projects and internal company products. You'll contribute to key deliverables such as AI scoping programmes, PoC development, and production-ready AI systems, with a significant focus on Brainpool's LLM-powered applications like the AI Quote Generation system detailed in our recent client proposal.

Key Responsibilities

• Design and implement robust RAG (Retrieval-Augmented Generation) pipelines for processing complex document collections and technical documentation
• Develop LLM integration systems with AWS Bedrock for models like Claude and Mistral
• Create evaluation frameworks for benchmarking and improving LLM performance
• Build and optimize FastAPI-based REST endpoints with Swagger documentation for AI services
• Implement vector database solutions using technologies like Qdrant
• Contribute to containerized development and deployment environments using Docker and AWS ECS
• Participate in prompt engineering and enhancement of HyDE-based retrieval systems
• Collaborate with cross-functional teams on UI development for testing interfaces and evaluation dashboards

Requirements

• Strong experience with Python, with a focus on building production-grade AI applications
• Proven experience working with LLM frameworks such as LlamaIndex, Haystack, or LangChain
• Experience implementing RAG (Retrieval-Augmented Generation) systems with vector databases
• Solid understanding of AWS services, particularly Bedrock, ECS, S3, and CloudWatch
• Experience with Docker containerization and CI/CD pipelines
• Familiarity with REST API development using FastAPI or similar frameworks
• Knowledge of vector databases (Qdrant, Weaviate, or similar)
• Strong communication skills to interface with both technical and business stakeholders
• BSc or MSc in Computer Science, Data Science, or related STEM field
• Experience with prompt engineering and optimization for different LLM models
• Knowledge of advanced RAG techniques like HyDE (Hypothetical Document Embeddings)
• Familiarity with monitoring and evaluation frameworks for LLM applications
• Background in metrology, analytical sciences, or technical documentation processing
• Understanding of embedding models and vector search optimization

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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