AI Software Engineer
S&P Global
full-time
Posted on:
Location Type: Office
Location: Hyderabad • India
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Job Level
About the role
- Design and build agentic AI platform components including agents, tools, workflows, and integrations with internal systems.
- Implement observability across the AI lifecycle: tracing, logging, metrics, and evaluation pipelines to monitor agent quality, cost, and reliability.
- Translate business problems into agentic AI solutions by collaborating with product, SMEs, and platform teams on data, model, and orchestration requirements.
- Develop and maintain data pipelines, features, and datasets for training, evaluation, grounding, and safety of LLM-based agents.
- Lead experimentation and benchmarking: Testing of prompts, models, and agent workflows; analyze results and drive iterative improvements.
- Implement guardrails, safety checks, and policy controls across prompts, tool usage, access, and output filtering to ensure safe and compliant operation.
- Create documentation, runbooks, and best practices; mentor peers on agentic AI patterns, observability-first engineering, and data/ML hygiene.
Requirements
- 1–3 years of experience in software engineering, data engineering, ML engineering, data science, MLOps roles.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
- Experience with CI/CD, code reviews, and modern engineering best practices.
- Strong programming experience in Python (preferred) or equivalent languages.
- Solid understanding of LLM / GenAI fundamentals: prompting, embeddings, vector search, RAG, and basic agentic patterns.
- Experience running production systems or data pipelines on AWS / Azure / GCP, using containers, serverless, and managed storage/services.
- Hands-on familiarity with observability tools across logs, metrics, and traces.
- Comfort working with structured and unstructured data; strong SQL plus experience with Pandas / Spark / dbt or similar frameworks.
- Ability to reason clearly about reliability, performance, and cost trade-offs.
- Strong collaboration and communication skills; ability to translate complex concepts for platform, product, data, security, and compliance teams.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonLLM fundamentalsGenAI fundamentalsSQLPandasSparkdbtCI/CDdata pipelinesobservability
Soft skills
collaborationcommunicationmentoringproblem-solvinganalytical thinking
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer Scienceequivalent practical experience