ABOUT INNOCAP
Innocap is the world’s leading firm of managed account platform services. With over US$100 billion in assets under management, over 500 employees and offices in five countries, we are shaping the future of alternative investments for institutional owners and allocators. Our mission is to revolutionize the asset management industry and to provide customized expert services and an exceptional client experience.
We are seeking forward-thinking individuals to join us on our exciting journey. Innocap’s success is built on the diversity of our people and the strength of their ambitions. We empower our teams and foster a culture of inclusivity, collaboration, innovation, and growth. At Innocap, you'll have the opportunity to enhance your career, work on exciting projects, and make a real impact.
About the Role
We are seeking a highly skilled Tech Lead – AI Developer with 7+ years of experience in software development, including at least 3 years in AI-driven application development. The ideal candidate is proficient in modern AI tools, large language model (LLM) integrations, Agentic workflows, and cloud-native architectures.
This role requires strong technical leadership, hands-on engineering capability, and the ability to guide teams in building scalable AI-powered solutions using .NET, Azure services, DevOps, and modern AI coding assistants.
Key Responsibilities:
· Lead the design & development of AI-driven applications using C#, .NET / .NET Core, and cloud-native services
· Architect and implement LLM-based workflows, AI agents, automation pipelines
· Work extensively with SQL Server and cloud data platforms (Azure SQL, Data Lake, Delta)
· Drive AI coding practices using GitHub Copilot, Claude Code, and other AI coding assistants
· Implement Agentic AI patterns, retrieval-augmented generation (RAG).
· Collaborate with data engineering teams on Azure DataBricks, Data Factory, and ML pipelines
· Ensure code quality using automated unit testing, debugging, and performance optimizations
· Guide the team through code reviews, architectural decisions, and AI best practices
· Work with DevOps engineers to manage CI/CD pipelines, Dockerized applications, Kubernetes deployments
· Create and maintain technical specifications, architecture diagrams, and documentation
Qualifications:
· Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field
· Proven experience developing web applications, APIs, microservices, and cloud-hosted backend systems
· Strong knowledge of relational databases and SQL
· Experience with Git, Azure DevOps, and cloud-based repositories
· Ability to translate business requirements into modern AI-powered technical solutions
· Excellent analytical, debugging, and communication skills
· Experience working in Agile/Scrum environments
Must-Have Skills:
Core Development & Architecture:
· Strong proficiency in C#, .NET / .NET Core
· Proficiency in SQL Server, data modeling, and query optimization
AI & LLM Engineering:
· Hands-on experience using GitHub Copilot, Microsoft Copilot, Claude Code
· Experience with Agentic AI, LLM orchestration frameworks, and task automation
· Experience building AI-integrated applications using Azure OpenAI, Anthropic Claude, HuggingFace, or similar platforms
Cloud & DevOps:
· Strong experience with Azure cloud services.
· Hands-on expertise with Docker, containerization, and Kubernetes (AKS preferred)
· Experience building and maintaining CI/CD pipelines
Nice-to-Have Skills:
· Exposure to cloud-based testing environments and DevOps integration.
· Exposure to financial instruments or experience in the BFSI (Banking, Financial Services, and Insurance) domain.
· Knowledge of performance and security testing practices.
Our Offerings:
Hybrid work culture: Flexible working environment to promote a healthy work-life balance.
A smart, talented & agile team: International collaboration across locations and time zones, with a focus on learning, sharing, and fun.
Competitive compensation package: Attractive salary, comprehensive insurance, fitness discounts, and employee assistance programs.
Continuous learning opportunities: Access to professional development platforms and resources.
Diversity and Inclusion: Commitment to fostering a diverse and inclusive environment for all employees.
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