Artificial Intelligence Engineer

Hiringhood; Hyderabad, Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Hiringhood is seeking an AI Engineer to design, develop, and deploy production-ready AI/ML solutions. The role focuses on building sub-agents, orchestration layers, and high-availability evaluation systems, with emphasis on structured outputs and reliable model behavior.

The candidate will work on multi-tier model setups, including self-hosted inference, and contribute to observable, cost-aware agent operations in a data-intensive environment.

Qualifications

• Shipped LLM systems into production, not just demos.
• Experience with agent orchestration or workflow engines.
• Strong Python; Go or TypeScript useful.
• Built evals or appreciated having them.
• Experience with structured output and reliable model behavior.

Responsibilities

• Build and own sub-agents: typed input/output schemas, versioned prompts, a constrained tool set, and published success metrics for each.
• Design orchestration layer planning, replanning, tool-failure recovery, and handoff between supervisor and sub-agents.
• Build the eval harness to decide when an agent is safe to promote from shadow to assisted to autonomous.
• Work the two-tier model setup: heavy model for judgment, lighter self-hosted tier for high-volume extraction/formatting.
• Make agent behavior observable with debuggable traces, cost per agent, and failure attribution.

Skills

LLM systems

Agent orchestration

Python

Go

TypeScript

Schema validation

Education

Bachelor's degree in Computer Science or related

Tools

LangGraph

Workflow engines

Custom runtimes

Self-hosted inference

Job description

Opportunity Description AI Engineer

Our end client a technology-driven organization focused on data engineering, AI, cloud solutions, and digital transformation delivers innovative technology solutions that help businesses modernize their data infrastructure, leverage artificial intelligence, and build scalable digital platforms. The organization works on advanced technology initiatives across enterprise and data-intensive environments.

They are looking for an experienced AI Engineer to design, develop, and deploy intelligent AI/ML solutions, working with modern AI technologies to solve complex business challenges. This is a high-impact opportunity for professionals who enjoy building production-ready AI systems, working with cross-functional teams, and contributing to next-generation AI-driven solutions.

Role & responsibilities

• Build and own sub-agents: typed input/output schemas, versioned prompts, a constrained tool set, and a published success metric for each
• Design the orchestration layer planning, replanning, tool-failure recovery, and handoff between supervisor and sub-agents
• Build the eval harness that decides when an agent is safe to promote from shadow to assisted to autonomous
• Work the two-tier model setup: a heavy model for judgment and classification, a lighter self-hosted tier for high-volume extraction and formatting
• Make agent behavior observable and debuggable traces, cost per agent, failure attribution

Preferred candidate profile

• You’ve shipped LLM systems into production, not just demos. You can talk about what broke and what you changed.
• Comfortable with agent orchestration in some form LangGraph, custom runtimes, workflow engines, or your own. We care more about the reasoning than the library.
• Strong Python. Go or TypeScript useful.
• You’ve built evals, or you’ve felt the pain of not having them.
• Solid on structured output, schema validation, and getting reliable behavior out of unreliable models.

Nice to have

• Durable execution experience — Temporal, Cadence, Step Functions, or similar
• Self-hosted inference: vLLM, TGI, quantisation, GPU scheduling
• Retrieval systems at scale, and knowing when not to use them
• Document understanding: OCR, layout parsing, extraction from messy PDFs
• Anything regulated — audit trails, approval workflows, compliance reporting