Senior 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.