- Bachelors degree in Computer Science or a related field.
- 3-5 years of experience building applications in Python.
- Strong command of core Python: data structures, OOP, error handling, iterators/generators, concurrency basics, packaging, and virtual environments.
- Solid computer science fundamentals: data structures, algorithms, complexity analysis, and debugging methodology.
- Strong SQL skills and hands-on experience with at least one relational database (PostgreSQL, MySQL, Oracle, or SQL Server).
- Working knowledge of PySpark or a strong willingness to develop it on the job, including DataFrame APIs and basic understanding of distributed execution.
- Practical exposure to AI/ML in software: consuming LLM or ML model APIs, working with embeddings, or integrating a model into an application, with an understanding of prompt behavior, context limits, and non-determinism.
- Experience with automated testing (pytest or equivalent) and writing testable code.
- Experience with Git or other version control systems.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Solid communication skills.

- Design, develop, and maintain scalable, high-quality applications and services in Python.
- Write clean, maintainable, well-tested, and efficient code following established design principles and team standards.
- Develop and optimize PySpark jobs for batch and large-volume data processing workloads.
- Build AI-enabled features: integrate LLM and ML APIs or self-hosted models into backend services, including prompt design, structured output handling, tool/function calling,



and graceful fallback behavior.
- Implement retrieval-augmented generation (RAG) components: chunking and embedding pipelines, vector search, retrieval quality tuning, and grounding/citation handling.
- Build data preparation and feature pipelines that feed model training, fine-tuning, and inference, using Spark where scale requires it.
- Operationalize AI workloads: batch and real-time inference paths, caching, token and cost monitoring, latency budgets, rate limiting, and retry semantics.
- Contribute to AI evaluation and quality: build regression test sets, offline evaluation harnesses, and guardrails for accuracy, hallucination, safety, and PII handling.
- Model, query, and tune relational data: write efficient SQL, design schemas, and reason about indexes, joins, and query plans.
- Build and consume REST APIs and integrations with backend, data, and AI services.
- Troubleshoot and debug production issues, including performance bottlenecks, memory issues, data correctness problems, and non-deterministic model behavior.
- Profile and optimize applications, Spark jobs, and AI inference paths for runtime, resource usage, and cost.




- Use AI-assisted development tools responsibly to improve delivery speed while maintaining code quality, security, and review standards.
- Participate in code reviews, design discussions, and technical documentation.
- Work independently and as part of a team to deliver projects on time.

The Software Engineer (Python / PySpark / AI) is responsible for designing, developing, and maintaining production-grade Python applications and services, with a strong emphasis on core software engineering fundamentals, clean design, and solid database work.

The role includes writing and tuning PySpark jobs for large-scale data
processing, and building AI-enabled capabilities such as LLM-backed services, retrieval pipelines, and ML feature/inference workflows. Depth in Python, databases, and engineering craftsmanship remains the primary focus. AI work is treated as software engineering: the engineer is expected to integrate models into dependable systems with proper evaluation, observability, and cost controls, rather than to conduct original model research. Exposure to broader data engineering practices such as orchestration, lakehouse formats, and pipeline design is valuable.

The engineer collaborates closely with other developers, architects, data scientists, and project managers to translate business requirements into working software.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software Engineer (Hyderabad)
🏢 Infor
📍 Hyderabad