Senior AI Platform / Agentic Systems Engineer

Qualcomm Incorporated; Hyderabad; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Qualcomm India Private Limited seeks a software engineer with 3–7 years of experience to build next-generation enterprise AI platforms and agentic solutions. You will work across AI frameworks, APIs, and SDKs to deliver production-ready, scalable systems in a collaborative setting with platform and infra teams.

The role emphasizes building reusable AI-enabled workflows, CLI tooling, and robust integration with enterprise tools, data pipelines, and developer environments.

Qualifications

• Strong Python backend development experience.
• Experience with Generative AI or LLM apps in production.
• Familiarity with LangChain, LangGraph, or Pydantic AI.
• Design REST APIs, SDKs, or libraries for developers.
• Knowledge of distributed systems and workflow execution.
• Experience integrating enterprise tools and observability.

Responsibilities

• Design and develop AI/platform services, APIs, and SDKs.
• Build reusable capabilities for AI agents, tools, and workflows.
• Develop solutions using Python, REST APIs, and AI frameworks.
• Create durable workflow orchestration for long-running workloads.
• Integrate AI workflows with enterprise infra and dev tools.
• Improve CLI and developer tooling for installation and updates.
• Define execution patterns with retries, state, and reliability.
• Prototype quickly and evolve to production-ready solutions.
• Create docs, examples, and reference implementations.
• Collaborate with domain engineers to translate processes into AI workflows.
• Work with distributed apps, queues, caching, and idempotent design.

Skills

Python

Backend APIs

Generative AI

LangChain

LangGraph

Pydantic AI

Education

B.Tech in Computer Science

M.Tech (preferred)

Tools

REST APIs

CLI Development

Job description

Company

Qualcomm India Private Limited

Job Area

Information Technology Group, Information Technology Group > Data Science

General Summary

We are looking for a software engineer with 3–7 years of experience to develop next-generation enterprise AI platforms and agentic solutions. The ideal candidate will have strong software engineering fundamentals and hands-on experience with Generative AI, AI/agent frameworks, APIs and SDKs, distributed systems, workflow orchestration, and developer tooling. The role involves building reusable AI platform capabilities and solving complex engineering problems in collaboration with platform, infrastructure, and domain engineering teams, from initial design and prototyping through production deployment.

Key Responsibilities

• Design and develop production-grade AI and agentic platform services, APIs, and SDKs.
• Build reusable capabilities for AI agents, tools, skills, MCP integrations, and agent workflows.
• Develop and integrate solutions using Python, REST APIs, and modern AI frameworks such as LangChain, LangGraph, Pydantic AI, or equivalent technologies.
• Build durable and distributed workflow orchestration for long-running AI and engineering workloads.
• Integrate AI workflows with enterprise and developer infrastructure, including job execution environments, source-control systems, engineering tools, and internal services.
• Develop and improve CLI and developer tooling, including installation, configuration, validation, update, and integration experiences.
• Design reliable execution patterns covering retries, failure handling, state management, and external-system interactions.
• Rapidly create prototypes and evolve successful prototypes into secure, maintainable, production-ready solutions.
• Create technical documentation, examples, and reference implementations that simplify adoption by engineering teams.
• Partner with domain engineers and cross-functional teams to translate complex engineering processes into reusable AI-enabled workflows.
• Experience developing distributed applications using service-oriented or microservices architectures, message queues or event-driven patterns, caching, idempotency, retries, and consistency-aware design.

Required Qualifications

• Strong software engineering experience with Python and hands-on development of backend services and APIs.
• Experience developing Generative AI or LLM applications and production AI systems.
• Hands-on experience with one or more agent or application frameworks such as LangChain, LangGraph, Pydantic AI, or equivalent.
• Experience designing REST APIs, SDKs, or developer-facing libraries.
• Understanding of distributed systems, asynchronous processing, workflow execution, and failure and retry patterns.
• Experience integrating enterprise systems, developer tools, or engineering platforms.
• Strong debugging and problem-solving skills across application and platform layers.
• Experience with production observability, logging, telemetry, or tracing.
• Ability to translate ambiguous engineering requirements into practical architectures and working implementations.
• Strong experience with Elasticsearch, including mappings, analyzers, shards and replicas, aggregations, query DSL, index lifecycle management, performance tuning, and vector or hybrid search.
• Hands-on experience designing and operating RAG systems, including retrieval evaluation, relevance measurement, grounding quality, and mitigation of hallucinations

Successful Candidate Characteristics

• Strong hands-on engineering and analytical problem-solving ability.
• Comfortable owning a problem from architecture and prototyping through productionization.
• Able to work across AI, platform, infrastructure, and domain-engineering boundaries.
• Comfortable learning new technologies and frameworks quickly.
• Strong technical communication, documentation, and knowledge-sharing skills.
• Able to balance rapid experimentation with production reliability and maintainability.
• Collaborative and responsive when enabling other engineers to adopt platform capabilities.
• Able to manage multiple priorities and deliver effectively in a cross-functional environment.

Minimum Qualifications

B.Tech/M.Tech in Computer Science, Electronics, or a related engineering discipline from a top-tier institution

Minimum Qualifications:

• Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
• 3+ years of Data Science or related work experience.

*Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.

Applicants

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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