HCF - AI Engineer

IBU Consulting; Bengaluru; Sur place; INR 300 000 - 600 000; Plein temps

Résumé du poste

IBU Consulting seeks a senior AI architecture leader to design, implement, and optimize generative AI systems, including RAG pipelines and guardrails. You will collaborate with data scientists and engineers to source and prepare data, integrate AI into apps, and ensure safety, quality, and explainability.

Strong mentoring and cross-functional collaboration are expected. The role emphasizes cost-aware deployment across providers, evaluation of models, and clear documentation of experiments and

Qualifications

• Lead the design, implementation, and optimization of advanced end-to-end generative architectures.
• Design evaluation strategies for complex LLM systems.
• Lead multi-agent orchestration systems.
• Create cost optimization strategies across providers.
• Evaluate third-party models and tools for adoption.
• Guide teams in responsible AI practices such as explainability and fairness.
• Explain complex AI concepts to non-technical stakeholders.
• Lead code reviews and establish coding standards.

Responsabilités

• Design, develop, and deploy generative AI applications and systems such as RAG pipelines and conversational interfaces.
• Collaborate with data scientists and engineers to source, clean, and prepare datasets.
• Integrate AI solutions into applications via APIs, front-ends, and endpoints.
• Test and validate generative AI outputs for quality, safety, and fairness.
• Implement prompt optimization strategies for cost and quality.
• Design conversation management and memory systems.
• Build guardrails and safety layers for production LLM apps.
• Document solutions, experiments, and code; ensure reproducibility.
• Collaborate with business and technical teams to align AI with needs.

Connaissances

RAG architectures

Multi-agent orchestration

Guardrails for LLMs

Explainability & fairness

Prompt optimization

Cost optimization across LLMs

Evaluation of LLMs

Team mentoring

Code reviews / standards

Outils

OpenAI APIs

Anthropic API

Google Vertex AI

Hugging Face transformers

LangChain

LlamaIndex

LangGraph

Description du poste

Core Responsibilities

• Design, develop, and deploy generative AI applications and systems (eg, intelligent document processing, conversational agents, knowledge retrieval systems)
• Work with data scientists and engineers to source, clean, and prepare datasets to build and optimize RAG (Retrieval-Augmented Generation) pipelines, multi-agent workflows, conversational interfaces) through API integration with LLMs (provided by OpenAI, Anthropic, Google), open-source models (eg Hugging Face/Lllama), and orchestration frameworks (LangChain, LangGraph, LlamaIndex).
• Integrate AI solutions into applications-build APIs, front-ends, and other endpoints for model interaction.
• Test, evaluate, and validate generative AI outputs for quality, safety, and fairness by using evaluation frameworks for LLM applications (accuracy, hallucination, recall).
• Implement prompt optimization strategies for cost and quality.
• Design conversation management and memory systems
• Build guardrails and safety layers for production LLM applications
• Document solutions, experiments, and code to ensure best practices and reproducibility.
• Collaborate closely with business and technical teams to align AI solutions with user and project needs.

Mandatory Skills

• Lead the design, implementation, and optimization of advanced/end-to-end generative architectures, including RAG, agents, and guardrails.
• Design evaluation strategies for complex LLM systems.
• Lead implementation of multi-agent orchestration systems.
• Design cost optimization strategies across LLM providers.
• Evaluate third-party models, frameworks, and open-source tools for adoption.
• Guide teams in responsible AI practices (eg, explainability, fairness).
• Engage with non-technical stakeholders to clarify complex AI concepts and solution value.
• Lead code reviews, establish coding standards, and mentor less experienced team members.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.