Project Role : Custom Software Engineer
Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.
Must have skills : Machine Learning
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Software Development Engineer, your typical day will involve analyzing, designing, coding, and testing various components of application code for multiple clients. You will engage in maintenance and enhancement tasks, ensuring that the applications function optimally and meet client requirements. Collaboration with team members will be essential as you contribute to the development process and address any challenges that arise. Roles & Responsibilities: - AI Engineer enables trusted, enterprise-ready adoption of AI at Fidelity International. - This role focuses on consuming, integrating, and operationalizing advanced AI models—from Large Language Models (LLMs) to Small Language Models (SLMs) - into secure, governed, and scalable business solutions. - Governance by Design: enforce data-handling policies in code (prompt redaction middleware, retrieval allow-lists, per-use-case policies). - Prompt/Agent CI/CD: add evaluation gates (answer quality, safety) to pipelines; canary deploys with feature flags; automated rollback on drift. - Model Lifecycle: manage SLM/LoRA fine-tuning with consented datasets, synthetic augmentation policies, and model registry entries w/ lineage. - Observability: implement tracing (e.g., request ? retrieved docs ? model output ? tool calls), latency & cost SLOs; alerts on hallucination/safety incidents. - Provider Abstraction: wrap OpenAI/Gemini/Azure OpenAI/Vertex behind an interface; capture provider/region, model/version, and quota routing. - RAG Ops: schedule index rebuilds, freshness windows, incremental sync, and search quality dashboards with regression alerts. (Complements existing “RAG, cloud, CI/CD, fintech” content.) - Develop APIs and microservices to integrate AI with internal/external applications - Partner with business stakeholders to identify and validate use cases Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning / Artificial Intelligence - Strong understanding of various machine learning algorithms and their applications. - Experience with data preprocessing and feature engineering techniques. - Familiarity with programming languages such as Python or R. - Knowledge of software development methodologies and version control systems. Additional Information: - The candidate should have minimum 3 years of experience - This position is based at our Gurugram office. - A 15 years full time education is required.