Lead Artificial Intelligence Engineer - Generative AI

Lead AI Engineer – GenAI Engineering

Department

None

Job Description

Job Title: Lead AI Engineer – GenAI Engineering

Location: Pune / Mumbai (Hybrid Work Model)   

Experience: 6–9 Years (Minimum 3 Years in AI Development)   

Industry: Credit Rating & Financial Analytics 

 About Us:

Join a leading global credit rating and financial analytics powerhouse where innovation meets finance! We leverage cutting-edge AI and analytics to deliver state-of-the-art solutions. As we embark on our next growth phase, we’re looking for a passionate AI Engineer to propel our AI capabilities into the future — redefining how financial intelligence is powered and delivered. 

Why Join Us?   

- Be at the forefront of AI innovation in finance technology with exposure to next-gen GenAI techniques.   

- Collaborate with dynamic global teams spanning finance, technology, and client solutions.   

- Work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork.   

- Opportunity to directly influence client-facing AI solutions impacting real-world business outcomes.   

- Grow your career in an environment that champions best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms. 

What You’ll Do:   

- Develop and deploy advanced AI solutions using the latest Generative AI techniques including:   

  - Retrieval-Augmented Generation (RAG) pipelines.   

  - Designing and building Agentic AI systems to automate complex decision-making workflows.   

  - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation.

- Build scalable AI workflows, adhering to robust engineering and code quality standards.   

- Lead end-to-end AI solution development lifecycle — from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP).   

- Collaborate closely with cross-functional global teams — financial analysts, technology architects, and client stakeholders — to translate business challenges into AI-driven solutions.   

- Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art.   

What We’re Looking For:   

Experience & Skills:   

- 7 to 10 years of experience in software engineering/development with a minimum 4 years specializing in AI/ML roles.   

- Deep hands-on expertise with GenAI technologies — RAG frameworks, agent-based AI design patterns, fine-tuning techniques for SLM.   

- Strong programming skills in Python with a focus on clean, maintainable, and performance code.

- Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines.

- Having a public Github code repository or Kaggle profile will be a big plus.

- Solid understanding of data structures, algorithms, software design principles, and scalable system design.   

- Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus.   

- Decent communication skills to effectively collaborate across global teams and handle client interactions.

- Self-driven, proactive mindset with a passion for problem-solving and innovation. 

Educational Background:

- Bachelor’s or Master’s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) is preferred in:   

  - Computer Science, or

  - Any Engineering discipline, or   

  - Mathematics or related quantitative fields. 

 Benefits:   

- Hybrid work model combining remote flexibility and collaborative office culture in Pune or Mumbai.

- Continuous learning budget for certifications, workshops, and conferences.

- Opportunities to work on industry-leading AI research and shaping the future of financial services. 

Open Positions

1

Mandatory Skills

Python,Artificial Intelligence,Deep Learning,Agentic Ai,Large Language Model

Education Qualification

- Bachelor’s or Master’s degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) is preferred in: - Computer Science, or - Any Engineering discipline, or - Mathematics or related quantitative fields.

Experience

7 to 10 years