S&P Global Hiring AI Software Engineer Intern | Hyderabad

About the Role

This position focuses on building and improving agentic AI platform capabilities. The role involves developing intelligent agents, workflows, and integrations while ensuring reliability, safety, and strong engineering practices throughout the AI lifecycle.

Grade Level (for internal use): 05

Key Responsibilities

• Design and develop agentic AI platform components including agents, tools, workflows, and integrations with internal systems.
• Implement observability across the AI lifecycle with tracing, logging, metrics, and evaluation pipelines to track agent quality, reliability, and cost.
• Translate business problems into AI solutions by working with product teams, subject matter experts, and platform engineers to define data, model, and orchestration needs.
• Build and maintain data pipelines and datasets used for training, evaluation, grounding, and safety of LLM-based agents.
• Drive experimentation and benchmarking by testing prompts, models, and agent workflows, then analyzing results to guide improvements.
• Implement guardrails and safety checks for prompts, tool usage, system access, and output filtering to maintain safe and compliant AI operations.
• Create documentation and engineering guidelines, and share best practices related to agentic AI patterns, observability-first engineering, and ML/data hygiene.

Core Skills Required

• Strong programming background in Python (preferred) or similar languages.
• Understanding of LLM and Generative AI fundamentals, including prompting, embeddings, vector search, retrieval augmented generation, and agent workflows.
• Experience running production workloads or data pipelines on AWS, Azure, or GCP, including containers, serverless services, and managed storage.
• Hands-on experience with observability tools such as OpenTelemetry, Prometheus, Grafana, or ELK for logs, metrics, and tracing.
• Working knowledge of structured and unstructured data with strong SQL skills and frameworks like Pandas, Spark, or dbt.
• Ability to evaluate trade-offs around system reliability, performance, and operational cost.

Qualifications

• 0 to 6 years of experience in software engineering, data engineering, ML engineering, data science, or MLOps.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
• Familiarity with CI/CD pipelines, code reviews, and modern engineering practices.
• Nice to Have: exposure to agentic AI frameworks such as LangChain, LangGraph, or OpenAI Agents.

Our Mission

Advancing Essential Intelligence.

Our People

S&P Global has a global workforce of more than 35,000 professionals who combine deep expertise with a broad perspective. Teams work on areas such as sustainability measurement, energy transition analysis, and workflow solutions that help organizations access insights and make informed decisions.

Our Values

Integrity, Discovery, Partnership

Leading organizations rely on S&P Global for intelligence that supports confident decision making. The company operates with a strong foundation of integrity, encourages discovery in its work, and promotes collaboration with customers and colleagues to achieve shared goals.

Benefits

• Health and Wellness: Comprehensive healthcare coverage supporting both physical and mental wellbeing.
• Flexible Downtime: Generous time off to maintain balance and productivity.
• Continuous Learning: Access to resources and programs designed to support professional development.
• Future Planning: Competitive compensation, retirement planning, and financial wellness initiatives.
• Family Friendly Programs: Benefits and perks that support employees and their families.
• Additional Perks: Retail discounts, referral incentives, and other employee benefits.

Equal Opportunity Employer

S&P Global is an equal opportunity employer. All qualified applicants receive consideration without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or other legally protected status.