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Senior AI Engineer

Roles & Responsibilities

  • 5+ years of experience with Python (Pandas, NumPy, FastAPI, LangChain, etc.)
  • Deep hands-on expertise with LLMs (OpenAI, AWS Bedrock, or similar) and prompt engineering
  • Strong knowledge of PGVector (Postgres) and experience with NLP solutions
  • Proven track record in building ETL pipelines

Requirements:

  • Design and implement robust ETL pipelines for structured and unstructured data
  • Generate embeddings and maintain vector databases for semantic search
  • Integrate LLMs and fine-tune prompts for intelligent chatbot interactions
  • Develop logic for intent detection, ranking, and contextual responses

Job description

For our client, we are looking for a Senior AI Engineer to develop intelligent chatbot and search platform components.

Join a cutting-edge project focused on building scalable, production-ready AI systems that power an advanced chatbot and intelligent search experience. You will work with large language models (LLMs), design robust data pipelines, and develop high-performance vector search solutions that integrate seamlessly with real-world user interactions.

The Ideal Candidate:

  • 5+ years of experience with Python (Pandas, NumPy, FastAPI, LangChain, etc.).
  • Deep hands-on expertise with LLMs (OpenAI, AWS Bedrock, or similar) and prompt engineering.Strong knowledge of PGVector (Postgres) and experience with NLP solutions.
  • Proven track record in building ETL pipelines.
  • Excellent communication and presentation skills able to explain technical concepts clearly to clients.
  • English level B2+.
  • Leadership mindset: able to guide, mentor, and inspire the team.

What You Will Do:

  • Design and implement robust ETL pipelines for structured and unstructured data
  • Generate embeddings and maintain vector databases for semantic search
  • Integrate LLMs and fine-tune prompts for intelligent chatbot interactions
  • Develop logic for intent detection, ranking, and contextual responses
  • Collaborate with engineers to integrate APIs, test, and deploy models
  • Optimize performance, security, and scalability of AI/ML components
  • Build feedback loops for continuous model improvement and adaptation
  • Track metadata and ensure role-based access and compliance

What the Company Offers:

  • Remote full-time opportunity on a B2B contract
  • Rate 35 - 45 USD per hour
  • Involvement in a high-impact AI-driven product
  • Cross-functional collaboration and autonomy in decision-making
  • Scalable and challenging architecture in a fast-paced environment
  • Flexible working hours and a highly skilled international team


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