Who we are?

We take pride in being an AI-based Fintech firm at Intellimation, distinguished by our advanced technology and expertise in the Global banking and financial services domain.

Currently operating on a bootstrap model, we are in active discussions with numerous Indian and international investors, including sovereign investors in the APAC region, for our Series A funding.

At the heart of our success lies our proprietary foundation model, a technological marvel that ensures unparalleled accuracy and delivers industry-leading business outcomes.

Our flagship product, "Vector," is the embodiment of this innovation and is equipped with multiple Apps catering to a diverse range of business cases.

Intellimation.ai currently serves a clientele of over 20 clients, including prominent investment banks such as Barclays, Nomura, and other major American banks, along with a variety of asset management firms like Finex ETF, Hudson Capital, and MGG.

Collectively, these clients manage assets totaling more than USD 500 billion in Assets Under Management (AUM).

As a rapidly growing entity in the Banking, Financial Services, and Insurance (BFSI) industry, we specialize in NaturalLanguage Processing (NLP), Deep Learning (DL), and Machine Learning (ML).

Our goal is to develop an autonomous AI agent, and in pursuit of this vision, we have successfully built and deployed proprietary foundation model exclusively in the financial services sector.

What are we looking for ?

Were seeking an experienced Engineering Manager to lead our core engineering teams, own all aspects of project delivery, and scale our platform for global financial-services clients.

Technical Strategy & Architecture

You will combine deep technical expertise and software architecture with proven leadership skills mentoring engineers, refining processes with innovation, ensuring we deliver high-impact, production-ready solutions on time and within :

• Define and transform the technical vision for our foundation model platform in alignment with business goals.
• Provide hands-on technical leadership, contribute to high-level architecture and design decisions.
• Oversee system design, ensuring scalability, reliability, and reusability of core components.
• Drive adoption of best practices in coding standards, code reviews, CI/CD, and technical debt Leadership & Development :
• Build, mentor, and grow a high-performing engineering organization (Engineers across ML, backend, and frontend), guiding them both in technical and professional development.
• Conduct regular 1:1s, performance reviews, and career-development planning.
• Foster a collaborative and inclusive culture of ownership, continuous learning, and & Operational Management :
• Own end-to-end delivery: project planning, resource allocation, timeline management, and stakeholder communication with the utmost focus on quality.
• Collaborate with Product Management, UX/UI, and other cross-functional teams to ensure product requirements are understood and executed effectively.
• Implement and refine Agile/Scrum processes, KPIs, and retrospectives to optimize team velocity and quality.
• Proactively identify risks (technical, resourcing, compliance) and devise mitigation Rigor & Quality :
• Lead hiring processes: define role profiles, interview loops, and selection criteria to ensure top talent acquisition.
• Enforce rigorous quality-management practices: automated testing, monitoring, and incident response.
• Manage fire-fighting effortstrack support tickets, bug triage, and root-cause & Continuous Improvement :
• Champion design thinking and user-centric problem solving.
• Partner with Product, Data Science, and UX to ideate solutions.
• Promote a culture of innovation and encourage experimentation with new tools, architectures, and methodologies to continually optimize engineering processes.
• Balance innovation with operational stability and compliance requirements.
• Stay up to date with industry trends and ensure the team is equipped with the latest tools and knowledge to stay & Client Engagement :
• Act as primary technical liaison for key internal stakeholders and external clients.
• Present project roadmaps, architecture designs, and post-mortem analyses to executive leadership and clients.
• Incorporate client feedback into prioritization and product :
• 12+ years of experience in software engineering roles, with at least 5 or more years in engineering leadership or management.
• Deep experience with modern development stacks (Python, Java, C++, etc.), cloud platforms (AWS, GCP, Azure), microservices, and containerization tools (Docker, Kubernetes).
• Experience with large-scale system design and operational reliability in production environments.
• Exposure to AI/ML systems (foundation models, MLOps pipelines) is highly preferred.
• Proven ability to build and retain top engineering talent in fast-paced, product-focused environments.
• Strong project leadership skills Agile methodologies, resource planning, and risk mitigation.
• Excellent problem-solving and communication skills able to translate technical topics to business stakeholders and present confidently to C-level clients.
• Familiarity with trading systems, quant analytics, or real-time data processing is preferrable.
• Domain Knowledge and background in financial services, trading systems, or quantitative analytics is a plus.
• Bachelors/Masters in computer science, Engineering, or a related field ideally from a top-tier institution.
  
  

(ref:hirist.tech)