Senior AI Platform / Agentic Systems Engineer

Overview

Software engineer role to develop next-generation enterprise AI platforms and agentic solutions, from design and prototyping through production deployment.

What you'll do

• 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.
• Develop distributed applications using service-oriented or microservices architectures, message queues or event-driven patterns, caching, idempotency, retries, and consistency-aware design.

What you'll need

• 3 to 7 years of software engineering experience.
• 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.
• B.Tech/M.Tech in Computer Science, Electronics, or a related engineering discipline from a top-tier institution.
• 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.

Details

• Location: Hyderabad, Telangana, India.