AmpsTek - Senior Prompt Engineer - LLM Models

5 days ago

Mumbai, Maharashtra, India Ampstek Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Title : Senior Prompt Engineer

Department : Innovation / AI Engineering

Location : Mumbai

Engagement Type : Direct hire for our client (a leading global asset management firm)

Overview :

Our client a prominent asset management firm is enhancing its AI-driven innovation strategy by embedding prompt engineering expertise directly within its investment and operations teams.

They seek a Senior Prompt Engineer who will serve as the critical link between investment professionals and the central AI engineering group.

In this role, you will help develop domain-specific large language model (LLM) applications that deliver tangible business value (such as more effective due diligence and improved portfolio optimization) while aligning with robust risk and governance standards.

Key Responsibilities :

- Translate complex investment and operational challenges into clear, effective prompts for LLMs.

- Collaborate with enterprise architects and technical leads to integrate key data sources.

- Leverage user feedback and performance metrics to continuously refine prompt strategies.

- Establish and manage a centralized prompt repository with governance and traceability.

- Develop and deliver training sessions to equip teams with prompt engineering skills.

- Identify and deploy tools to automate prompt generation and refinement.

- Run pilot projects in parallel with existing processes to ensure risk-managed innovation.

- Engage with investment, operations, and AI teams to align technical solutions with business needs.

Qualifications & Skills :

- Demonstrated experience in prompt engineering, AI development, or related LLM-based roles.

- Minimum of three years of Python development and scripting experience (basic scripting is sufficient).

- Proven ability to translate complex business challenges into technical solutions.

- Strong understanding of LLMs, prompt optimization, and enterprise integration.

- Excellent communication and collaboration skills with cross-functional teams.

- Advanced degree in Computer Science, Engineering, or a related field (preferred).

- Experience in financial services or asset management (highly advantageous).

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