Senior Developer for GenAI with IRS MBI Clearance

3M Consultancy; Poland; On-site; PLN 334,800 - 502,200; Full time

Job summary

A leading consultancy firm in Poland is looking for a Senior Developer for GenAI. The ideal candidate will design and implement generative AI solutions using large language models. Responsibilities include building optimally performing applications, developing engineering strategies, and ensuring responsible AI practices. Strong programming skills and experience with LLM APIs are essential. This role offers the opportunity to work with advanced technologies in a rapidly evolving field.

Qualifications

• Strong programming background is essential for this role.
• Experience with APIs from LLM providers like OpenAI and AWS is required.
• Knowledge of transformer architectures and cloud technologies is necessary.

Responsibilities

• Build and optimize AI-powered applications using LangChain and LlamaIndex.
• Develop prompt engineering strategies and fine-tune AI models for specific use cases.
• Integrate LLMs with existing systems through APIs and microservices.
• Implement RAG architectures for knowledge-based applications.
• Write clean, maintainable code in Python and relevant languages.
• Ensure responsible AI practices including bias mitigation.
• Stay updated with GenAI technologies and best practices.

Skills

Strong programming background

Experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock)

Understanding of transformer architectures

Vector databases

Cloud platforms

Job description

Senior Developer for GenAI with IRS MBI Clearance

A Senior Developer for GenAI designs, develops, and implements generative AI solutions using large language models (LLMs) and related technologies.

Key responsibilities include:

• Building and optimizing AI-powered applications using frameworks like LangChain, LlamaIndex, or similar tools
• Developing prompt engineering strategies and fine-tuning models for specific use cases
• Integrating LLMs with existing systems through APIs and microservices
• Implementing RAG (Retrieval-Augmented Generation) architectures for knowledge-based applications
• Writing clean, maintainable code in Python and other relevant languages
• Ensuring responsible AI practices including bias mitigation and safety guardrails
• Staying current with rapidly evolving GenAI technologies and best practices

Required skills: Strong programming background, experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock), understanding of transformer architectures, vector databases, and cloud platforms.