Role Mission
We are looking for a senior AI Engineer to design and build production-grade AI solutions, including AI agents, scraping systems, and vector-based retrieval architectures.
This role is hands-on and focused on shipping real AI systems, not research or experiments.
You will work closely with backend and data teams to turn business problems into scalable
AI-driven solutions.
Key Responsibilities
● Design, develop, and deploy AI-powered systems, including:
● AI agents for automation and decision workflows
● Web scraping bots for structured and unstructured data collection
● Systems using vector databases for semantic search and RAG pipelines
● Build applications using Generative AI APIs (OpenAI, Anthropic, etc.)
● Integrate AI components into existing platforms and services
● Design and implement scalable, secure APIs for AI solutions
● Optimize solutions for performance, reliability, and cost efficiency
● Use frameworks such as LangChain, or similar to orchestrate intelligent workflows
● Collaborate with backend and data engineers on pipelines, storage, and infrastructure
● Stay current with AI advancements and proactively propose improvements or new use cases
Required Skills & ExperienceCore Technical Skills
● Strong programming experience in JavaScript/Node.js backend
● Hands-on experience with Generative AI APIs (OpenAI, Anthropic, etc.)
● Experience working with MongoDB
● Experience building systems with vector databases and similarity search, including
PostgreSQL + pgvector, or dedicated solutions
● Practical experience designing and implementing RAG pipelines
● Experience building and automating web scraping bots
● Solid understanding of cloud platforms (AWS preferred)
● Experience building APIs and microservices
● Familiarity with Docker and containerized deployments (Kubernetes is a plus)
● AI / ML Knowledge
● Strong understanding of embeddings, tokenization, and semantic search
● Strong experience in prompt engineering
● Experience applying pre-trained models for text generation, summarization, and search
● Practical (not academic) understanding of LLM limitations, trade-offs, and costs
● Problem-Solving & Communication
● Ability to translate business requirements into AI-driven technical solutions
● Strong analytical and problem-solving mindset
● Comfortable collaborating with both technical and non-technical stakeholders
● Passion for building useful, reliable AI systems in production
