Gen AI Developer

- Experience: 5 to 9 years
- Location: Bangalore Bellandur
- Openings: 1

Job Requisition: Gen AI Developer (5 to 8 years)

- Tge team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on enhancing client experience, driving acquisitions, cross-sell and revenue growth.

- The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and AI/ML techniques to drive data driven business outcomes in collaboration with business and product partners.

- The team works on building and operating Generative AI and deep learning solutions - Design, implement, and scale productiongrade AI applications endtoendfrom data ingestion and model services to userfacing interfaces, observability, and secure deployments.

ROLE DESCRIPTION

- The role will report to the AVP or VP leading the team.

The role will involve working on

- Multiple analyses through the year on business problems across the client experience for the TTS business

- This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (unstructured data like emails, call transcripts, etc., client profile & engagement data, transactions & revenue data, digital data, etc.) to provide data driven insights to business partners and functional stakeholders

- As a key contributor to ideation on analytical projects to tackle strategic business priorities
- The role will require endless curiosity,



as ambiguity and open-ended questions are a core part of the teams work

- Own endtoend delivery of AIpowered products: requirements, design, implementation, testing, deployment, and support.

- Apply GenAI techniques (prompt engineering, RAG, finetuning) and deep learning methods to solve practical user and business problems.

- Collaborate with product, business, operations and data teams to prioritize and translate ambiguous problems into delivered capabilities.

- Create clear technical documentation, architecture diagrams, and runbooks; participate in design and code reviews.

- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

- Ability to build partnerships with cross-function leaders.

QUALIFICATIONS

Experience:

- 5-8 years of relevant experience in Data Science (ML and DL) combined with solid experience in Gen AI solution (2 years).





- Demonstrated track record shipping AIenabled products to production in an agile workplace.

Must have substantial experience in:

- Identifying and resolving business problems (around client experience and operations) preferably in the financial services industry

- Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data

- Handson with LLMs and transformer architectures;

experience with prompt engineering and system prompt design.

- Working with data from different sources, with different complexities, both structured and unstructured

- RetrievalAugmented Generation (RAG): embeddings, vector indexes, chunking strategies, and retrieval evaluation.

- Model customization: finetuning/LoRA/PEFT; data curation, labeling, and experiment tracking for reproducibility.

- Frameworks and tooling: PyTorch/TensorFlow, Hugging Face ecosystem, and popular orchestration libraries.

- Model serving/inference optimization: batching, token streaming, quantization, caching, and concurrency controls.

- Quality & safety: automatic evaluation, redteaming, toxicity filters, PII handling, prompt injection defenses.

- MLOps for GenAI: feature pipelines, model registries, rollout strategies (A/B, shadow), monitoring for drift and hallucinations.

Good to have

- Experience within design and development of API-first services in Python and Node.js that expose model inference, feature computation, and analytics.

- Familiarity with graph databases and search infrastructure.

- Agentic AI solution development experience.

Education:

- Masters (preferred) in Computer Science Engineering

📌 Gen AI Developer- Bangalore (Bengaluru)
🏢 TeamPlus Staffing Solution
📍 Bengaluru