AI Solutions Developer - Java & Python
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This range is provided by Aegistech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $330,000.00/yr - $360,000.00/yr
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Lead Technical Recruiter/Manager @ Aegistech Inc. Job Description:
Here's the updated job description incorporating RAG:
We are seeking a skilled AI Developer with expertise in building intelligent agents and AI-powered solutions using LangChain and related frameworks. The ideal candidate should have hands-on experience developing applications that leverage Large Language Models (LLMs) and demonstrate proficiency in prompt engineering techniques. Strong experience with Retrieval Augmented Generation (RAG) architectures is essential, including designing and implementing efficient document processing pipelines, vector stores, and semantic search capabilities. You will be responsible for designing, implementing, and optimizing AI agents that can process natural language, perform complex tasks, and integrate with various APIs and data sources. Strong knowledge of Python, API development, and modern software development practices is essential, along with experience in building scalable RAG systems that can effectively handle extensive document collections. Experience with popular LLM platforms (Anthropic, OpenAI or Hugging Face), vector databases (such as Weaviate, Pinecone), and orchestration tools would be highly valuable, as well as familiarity with document chunking strategies and embedding models for optimal retrieval performance.
TECHNOLOGY SKILLS
Core Requirements
Experience with Large Language Models (LLMs) and their APIs (e.g., Anthropic, OpenAI, Hugging Face)
Understanding of prompt engineering and LLM best practices
Experience building AI agents and autonomous systems
Knowledge of vector databases and embedding technologies
Familiarity with AI orchestration frameworks
Experience with RAG (Retrieval Augmented Generation) implementations
Understanding of AI/ML model deployment and monitoring
Knowledge of AI safety and responsible AI development practices
Proficiency in Python or Java
Good to Have
Sybase (SQL/MSSQL)
Linux Container technologies (Docker and Kubernetes)
Knowledge & practical usage of Design Patterns
Proficiency in a Linux/Unix environment
ORGANIZATIONAL SKILLS
A strong sense of ownership of deliveries and a team player with good communication skills
Full software development lifecycle experience
Ability to provide technical leadership and mentor junior staff members
Ability to work in distributed, global teams
Strong sense of quality in a software development process
Understanding of key reference data concepts: Counterparty or Accounts
Experience working in a rapidly changing, fast-paced business environment
Understanding of data-model concepts (entities, attributes, relationships, etc.)
Ability to bridge traditional software development with AI-powered solutions
Experience in identifying use cases for AI implementation
Understanding of AI project lifecycle and implementation challenges
Ability to evaluate and integrate new AI technologies into existing systems
The ideal candidate will combine strong traditional software development skills with modern AI development capabilities, enabling the transformation of existing systems through AI integration while maintaining robust engineering practices.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Contract
Job function Job function Information Technology
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