Job Openings AI Engineer

About the job AI Engineer

AI Engineer

Location: Remote (Global)

Team: AI & Systems Architecture

Summary

We’re looking for an AI Engineer with solid Full-Stack and system design experience, capable of building and scaling production-ready AI systems from intelligent agents and chatbots to end-to-end data pipelines and automation platforms. You’ll work directly with clients, translating business problems into elegant, scalable solutions that combine LLMs, data workflows, and robust engineering practices. This role demands a balance of deep technical expertise, strong communication skills, and practical product thinking.

Requirements (Must-Haves)

  • Excellent English communication skills you’ll engage directly with clients to design, explain, and guide AI implementations..

  • >5 years of professional experience and experience in FullStack Development, system design, and cloud-native solutions.

  • Proven Full-Stack development experience with NodeJS, GoLang or Python understanding backend and frontend architectures and their lifecycles.

  • Proven experience designing and deploying AI-powered systems (agents, multi-agent collaboration, chatbots, classification engines, automation pipelines) in production environments at scale.

    • Experience designing and maintaining data ingestion and transformation pipelines using Python frameworks(e.g., Airflow, Prefect, or custom ETL stacks) and AWS data pipelines (Glue, Step Functions, Lambda, S3, Redshift, etc.).

    • Hands-on experience building AI Agents or Chatbots using LangChain, LangGraph, Haystack, or equivalent orchestration frameworks

    • Proven experience with Retrieval-Augmented Generation (RAG) pipelines and vector databases such as pgVector, Pinecone, Weaviate, Chroma, etc.

    • Expertise in embedding generation, fine-tuning, and model evaluation pipelines.

    • Familiarity with the Model Context Protocol (MCP) for multi-agent communication.

    • Understanding of AI observability and evaluation frameworks (LangSmith, Traceloop, Helicone) and experience using them in production environments.

Requirements (Nice-to-Haves)

  • Proven Python experience designing, building, and maintaining production-level systems and data pipelines

  • Hands-on experience with AI workflow orchestration and workflow builder tools (such as n8n or Haystack), and multi-agent collaboration systems.

  • Strong understanding of data governance, model lifecycle management, and AI compliance frameworks(including PII handling, access control, and red-teaming).

  • Experience with A2A (Agent-to-Agent) communication systems.

  • Experience building Voice Agents or implementing AI-driven audio/video generation systems.

  • Experience with Vision Analysis (e.g., image understanding, OCR, multimodal systems).

Bonus Points

  • Contributions to open-source AI frameworks (LangChain, Haystack, LlamaIndex, CrewAI, etc.).

  • Hands-on experience with semantic search, knowledge graphs, or vector indexing at scale.

  • Expertise in AI-driven automation (Zapier, AutoGen, CrewAI, or similar ecosystems).

Reporting

You’ll report directly to the CTO and collaborate with backend, data, and product teams to deliver scalable, secure, and measurable AI solutions. You’ll act as a trusted advisor to clients defining best practices, architecture patterns, and collaborating in production-ready AI implementations.