AI Engineer

ContenTerra Software Pvt. Ltd.; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading software company in Hyderabad is seeking a Senior AI Engineer to design and deliver AI-powered capabilities within business applications. The role involves developing intelligent workflows, integrating LLMs, and ensuring production reliability of AI features. Applicants should have over 5 years of experience in software development, especially with building production AI systems, and the ability to evaluate and implement best practices in AI engineering. This opportunity offers a full-time, permanent position in a dynamic team environment.

Qualifications

• 5+ years of software development experience with production AI systems.
• Experience delivering end-to-end AI features.
• Hands-on experience with RAG, automation systems, and agent workflows.

Responsibilities

• Design AI workflows for multi-step business tasks.
• Build agentic systems capable of reasoning and planning.
• Develop multi-agent architectures for process completion.
• Integrate LLMs using provider-agnostic architecture and APIs.
• Create evaluation pipelines for AI outputs.

Skills

Experience with AI frameworks (LangChain, LlamaIndex, DSPy, Semantic Kernel)

Understanding of agents and workflow orchestration patterns

Experience with vector databases

Knowledge of evaluation methodologies for AI outputs

Experience integrating AI systems with APIs

Job description

Contenterra Software Pvt Ltd | Full time

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

• Minimum5+ 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

• 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.
• 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.