AI Engineer

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.

and drive solution design. Strong debugging ability in non-deterministic systems. Clear communication and technical ownership.