About
IC is a global leader in trading with over 15 years of success, a strong international presence, and a team of skilled professionals, remains at the forefront of financial technology innovation. As an agile company that values growth and collaboration, we offer an exciting opportunity to be part of a dynamic industry where innovation meets excellence. We are seeking a skilled and experienced AI Engineer to join our team. In this role, you will be responsible for designing, developing, and deploying production-grade AI systems and intelligent agent pipelines. You will work at the intersection of software engineering and applied artificial intelligence, building scalable, reliable, and high-performance solutions.
Responsibilities
•Design and deploy production-ready Python services powering AI capabilities, leveraging FastAPI for robust API development.
•Architect and fine-tune end-to-end agent workflows supporting chat, search, and retrieval use cases.
•Develop intelligent agents using LangChain, LangGraph, and LangSmith, encompassing prompt engineering, integration, and comprehensive testing.
•Integrate and optimize vector databases (Qdrant, Milvus, etc.) for embeddings management, high-speed lookups, and hybrid search functionality.
•Continuously evaluate and monitor agent performance to ensure reliability, accuracy, and consistency in production environments.
•Optimize agent systems for reduced latency, cost efficiency, and horizontal scalability.
•Collaborate with cross-functional teams to identify opportunities for AI adoption and support the integration of AI-powered tools into existing workflows.
•Assist teams in adopting AI technologies by providing technical guidance, integration support, and best practices.
•Enable engineering teams to maximize the effectiveness of AI-powered coding agents (e.g., Claude Code, GitHub Copilot) by optimizing workflows and driving adoption.
Requirements
•3+ years of total software engineering experience, with a strong foundation in backend development using Python.
•1–2+ years of hands-on experience deploying and maintaining ML/AI systems in production environments.
•Demonstrated proficiency in Python and software engineering best practices, focusing on clean, maintainable, and production-quality code.
•Solid experience with NLP, Retrieval-Augmented Generation (RAG), embeddings, and vector databases (e.g., Qdrant, Milvus).
•Deep expertise in LangChain and/or LlamaIndex for building agentic AI systems.
•Strong experience with LangSmith, including evaluation, benchmarking, and tracing.
•Proven experience in prompt engineering and systematic agent testing methodologies.
•Strong understanding of LLM inference pipelines on local infrastructure and cloud platforms.
•Proficiency with Docker and cloud platforms (AWS, GCP, or Azure).
•Demonstrated ability to design clean, well-documented APIs and integrate with microservices architecture.
•Strong understanding of AI governance, security, compliance, and responsible AI practices.
•Ability to establish and communicate clear guidelines on AI adoption, ensuring ethical and compliant use across teams.
Nice to have
•Hands-on experience deploying, configuring, and optimizing self-hosted LLMs using frameworks such as vLLM, Ollama, or SGLang.
•Familiarity with open-source agentic coding harnesses (e.g., OpenCode, OpenHands, Cline) with experience customizing them for enterprise workflows.
Conditions
•Monday to Friday: 09:00 – 17:00 (Hybrid Model; 3 days from the office, 2 days from home)
•Competitive Pay – compensation reflects the skills and experience you bring to the table.
•Career Growth – ongoing learning and clear paths to advancement.
•Work-Life Balance – 22 days of annual leave.
•Wellness & Healthcare – 12 paid sick days and full medical insurance coverage after 6 months.
•Future Security – Group Savings and Life Insurance Plan after 6 months.
•Snack Hub – fully stocked kitchen with fresh fruit, snacks, and beverages.
•Lunch on Us – daily lunch buffet with teammates.
•Paid Overtime.
•Learning & Development – dedicated budgets for upskilling.
•Referral Bonus.
•Team Spirit – team events and team-building activities.
•MadBenefits – exclusive employee perk platform offering discounts on dining, retail, entertainment, and everyday essentials.
•Fitness & Recreation – access to gym facilities, organized sports, and spa treatments.
•Unwind Fridays – relaxed Friday drinks with colleagues.
