Design and build production AI systems: agentic workflows, multi-agent architectures, RAG, tool-using AI, evaluation and observability pipelines, scalable async execution, failure handling, and standards. Own deployment, monitoring, and mentoring for AI features.
Position: Senior AI Engineer
Location: Hyderabad
Industry: IT Services & Consulting
Department: Engineering – Software & QA
Employment Type: Full-Time, Permanent
Overview:
We are looking for a Senior AI Engineer to design and deliver AI-powered capabilities within business applications. The role focuses on building reliable reasoning pipelines, intelligent workflows, and agent-driven systems that integrate enterprise data and automate complex processes.
Key Responsibilities
- Design AI workflows that execute multi-step business tasks autonomously.
- Build agentic systems capable of planning, reasoning, and taking actions using tools and APIs.
- Develop multi-agent architectures where specialized agents collaborate to complete processes.
- Implement Retrieval-Augmented Generation (RAG) over enterprise data sources.
- Integrate LLMs via APIs and open-source models using provider-agnostic architecture.
- Design structured outputs, guardrails, and validation layers for reliable behavior.
- Build tool-using AI for database querying, document processing, and API orchestration.
- Create evaluation pipelines to measure accuracy, reliability, and regression of AI outputs.
- Implement observability including tracing, latency, and cost monitoring.
- Design failure handling, fallbacks, and human-in-the-loop workflows.
- Architect scalable async execution using queues and background workers.
- Own production reliability of AI features from deployment through monitoring.
- Evaluate approaches (RAG vs fine-tuning vs workflow vs agents) and justify design decisions.
- Define AI engineering standards and best practices across projects.
- Establish evaluation benchmarks and acceptance criteria for AI features.
- Participate in technical hiring and mentoring of future AI team members.
Experience
- Minimum 5+ years software development experience with significant hands-on work building production AI systems.
- Experience delivering end-to-end AI features used by real users.
- Hands-on experience with RAG, agent workflows, or automation systems.
Technical Skills
- Strong Python programming skills.
- Experience with AI frameworks (LangChain, LlamaIndex, DSPy, Semantic Kernel, or similar).
- Understanding of agents, tool calling, and workflow orchestration patterns.
- Experience with vector databases and retrieval systems.
- Knowledge of evaluation methodologies for AI outputs.
- Experience integrating AI systems with APIs, databases, and backend applications.
- Familiarity with containerized deployments and cloud platforms.
Good to Have
- Experience with multi-agent coordination patterns.
- LLMOps practices (versioning, rollback, evaluation datasets).
- Working with open-source/local models.
- Security and safety considerations in AI systems.
- Experience improving business workflows using AI automation.
Soft Skills
- Ability to work with ambiguous requirements and drive solution design.
- Strong debugging ability in non-deterministic systems.
- Clear communication and technical ownership.
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