Senior AI/LLM Engineer with Python Experience

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Proven experience with Python and AI application development., Hands-on experience with frameworks like LangChain, LLamaIndex, or similar., Strong knowledge of RAG, semantic search, and vector databases., Familiarity with cloud-based GenAI services, especially AWS Bedrock..

Key responsibilities:

  • Design and build Python-based AI solutions using frameworks such as LangChain and LLamaIndex.
  • Implement Retrieval-Augmented Generation workflows to improve LLM applications.
  • Develop and manage semantic search capabilities and integrate vector databases.
  • Collaborate with cross-functional teams to deploy AI features in production.

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opinov8 Scaleup https://opinov8.com/
201 - 500 Employees
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Job description

PROJECT DESCRIPTION
The project involves the development of a digital platform designed to streamline the charter cargo booking process for freight forwarders. Acting as an aggregator, the solution consolidates offerings from multiple cargo aircraft operators, enabling freight forwarders to efficiently search, compare, and book air cargo charters that best match their logistics needs. The platform significantly enhances speed, efficiency, and cost-effectiveness in the booking process. While business requirements and design are owned by the client, Opinov8 is fully responsible for project management, business analysis, solution architecture, and delivery. 

IN THIS ROLE, YOU WILL
  • Design and build Python-based AI-driven solutions using frameworks such as LangChain, LLamaIndex, and LangGraph;
  • Implement RAG (Retrieval-Augmented Generation) workflows to enhance LLM-based applications;
  • Develop and manage semantic search capabilities and integrate vector databases (e.g., FAISS, Pinecone, Weaviate);
  • Work with cloud-based GenAI services, preferably AWS Bedrock, to deploy and scale AI solutions;
  • Build agentic AI applications using frameworks such as Autogen or similar;
  • Apply Prompt Engineering techniques to fine-tune interactions with LLMs;
  • Collaborate with product managers, data scientists, and engineering teams to bring AI features to production.
IF YOU HAVE:
  • Proven experience with Python and AI application development;
  • Hands-on experience with LangChain, LLamaIndex, or similar frameworks;
  • Strong knowledge in RAG, semantic search, and working with vector databases;
  • Experience with agent-based AI frameworks like Autogen or LangGraph;
  • Proficiency in Prompt Engineering and LLM integration;
  • Familiarity with AWS GenAI services, especially AWS Bedrock.
AS AN OPINOV8R, YOU WILL HAVE:

Digital-First Approach: Great talent knows no borders! You can work from wherever you are. We hire and collaborate with professionals worldwide.  
Remote Work Model: Balance your professional and personal life with our flexible working conditions. We offer an, empowering you to be productive and deliver your best from anywhere.   
Exciting Projects: Dive into impactful projects across various industries that challenge and spark your creativity. Work on innovative solutions that push boundaries, giving you the chance to make a difference and drive change. 
Boost Your Expertise: Elevate your career with unmatched experiences that expand your knowledge and master skills. We foster continuous learning and development opportunities that allow you to grow and reach new heights. 
Join the Best Team Ever: Collaborate with our diverse and сross-cultural team of passionate technologists and creative thinkers who inspire and support. Together, we develop services that make a real impact on the world.

HOW’S THE HIRING PROCESS GOING:

We strive to make a smooth and transparent hiring process to find the perfect match for both sides. Steps may differ depending on the position — here's what to expect: 

- Initial Interview: If your background fits the role's criteria, we'll invite you for an interview with a Talent Acquisition Specialist to get to know you better. 
Technical Interview: Depending on the role, you may be asked to complete a technical assessment/test task to showcase your expertise.  
Client’s Interview: Meet with client representatives to discuss the role specifics and gain insights into the project's scope and expectations.
Final Decision: After completing all interviews and assessments, we'll reach a final decision and get back to you with the result.


 

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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