We are looking for an AI Solution Engineer to join and lead our AI Solution Delivery Team. In this role, you will design and develop scalable applications, integrate AI models into real-world solutions, and optimize LLMs, vector databases, and AI-powered applications.
Our ideal candidate has a strong consultancy mindset, strong software development background, capable of understanding client needs, identifying AI opportunities, and proposing ROI-driven solutions with clear estimations.
What you’ll do:
- Design and build scalable backend applications primarily using Python;
- Develop and optimize AI solutions with a focus on generative AI, large language models (LLMs), embeddings, and retrieval-augmented generation (RAG), while executing custom ML and NLP pipelines for batch and stream processing, including data ingestion, preprocessing, search and retrieval, and LLM-based model development;
- Work with structured, semi-structured, and unstructured data - designing data pipelines, feature stores, and efficient retrieval systems using ML, NLP, and Gen AI;
- Evaluate model performance using quantitative metrics (e.g., F1, accuracy, latency, token cost, hallucination rate);
- Deliver AI-powered solutions in cloud environments (Azure, AWS, or GCP), leveraging managed AI services for production workloads;
- Lead team of AI engineers, fostering a collaborative and innovative environment to ensure successful delivery of client-focused AI solution;
- Stay updated on advancements in AI research and technology to guide initiatives;
- Collaborate with cross-functional teams and clients to identify AI opportunities, define roadmaps, and integrate AI solutions into real-world business applications;
- Promote understanding of AI capabilities and limitations across the organization.
What we’re looking for:
- 5+ years experience in software development;
- Relevant experience in AI;
- Strong proficiency in Python;
- Hands-on experience building and deploying classical ML and GenAI solutions—fine-tuning LLMs, crafting prompts, building retrieval-augmented generation (RAG) pipelines, and designing multi-agent workflows with LangChain/LangGraph, or CrewAI, or Semantic Kernel, or similar frameworks;
- Comfortable orchestrating AI agents that plan, reason, and act (e.g., ReAct, AutoGPT-style, or task-specific agents) and integrating them with business APIs and event streams;
- Proven delivery on at least one major cloud platform (Azure, AWS, or GCP);
- Familiar with Foundational Models and Vector Databases;
- Knowledge of MLOps, CI/CD, Docker, and Kubernetes is a plus.
If you're an Experienced Software Engineer and you are eager to apply AI in real-world applications, we'd love to hear from you!
We appreciate the interest of all applicants. Please note that only those whose qualifications align closely with the position requirements will be contacted for the next steps in the selection process.
All applications will be handled with confidentiality.
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