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
... Is YoursAs a Lead Software Engineer, AI, you’ll architect and deliver core ... do as a Lead Software Engineer, AIDesign and build AI-powered tools that enhance how ... best practices for embedding Gen-AI into engineering workflows, from code ...
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