AI Engineering Lead
4 days ago
P.S: This role is NOT for Fomogo, but NextAlphaAI
About the Role
As the
AI Engineering Lead
, you will work with the Founders and an engineering
team of 4-8 people
to design, develop, and build AI-native applications and backend systems. You will architect and build the foundational systems of
NextAlpha's
finance agents, including batch and real-time multi-modal data pipelines and multi-agent systems. This is a key role in shaping a new product category in the Indian financial services market.
Role Responsibilities
- Define
multi-year technical roadmaps
for the next-generation equity research platform, including system architecture, AI model strategy, and long-term scalability goals. - Translate product ideas and research into reliable,
enterprise-grade AI systems
, collaborating closely with founders, engineers, and domain experts to take LLM-powered features from prototype to production. - Engage with customers and research analysts to understand workflows, data needs, and compliance requirements, and design scalable AI-driven solutions that integrate smoothly into their processes.
- Build and
lead a strong engineering team of Software Engineers, Machine Learning Engineers, and Interns
, setting engineering standards, review processes, and experimentation guidelines. - Architect and deliver key AI and data components, including data pipelines, retrieval systems, multi-agent workflows, and production automation frameworks.
- Own the design and running of
evaluation pipelines, covering model accuracy, latency, hallucination detection,
and drift monitoring using both automated and human-in-the-loop methods. - Implement best practices to
minimize hallucinations and improve model reliability
, such as retrieval augmentation, fact-checking routines, and prompt/model optimization. - Oversee the
full lifecycle of LLM systems
, including model selection, fine-tuning, deployment, monitoring, and cost/performance optimization. - Ensure **safe, auditable, and compliant AI systems, **partnering with product, engineering, and compliance teams to meet financial research standards.
Required Qualifications
- 4-6 years of relevant work experience.
- Experience building enterprise-grade batch and real-time data pipelines.
Preferred Qualifications
- Degree in Computer Science from Tier-1 college
- Previous experience with multi-modal search, domain-specific LLMs, and AI.
- Experience leading small software and ML teams (2-5 people).
Good to Have
- Previous experience at a fast-paced startup.
- Experience building 0→1 products in any domain.
- Advanced degrees (M.S./Ph.D.) in a relevant field.
Why Join Us
- Shape the core technical foundation of a high-impact company from day zero
- Work on open, ambitious problems at the frontier of Search Science, infrastructure, and AI
- Work with people who have decades of experience with Indian Equity market with solid background of building world class products
- Strong equity compensation and market cash compensation.
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