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.