Lead Senior AI Engineer

PeopleLogic; Hyderabad; Presencial; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

PeopleLogic in Hyderabad is seeking a senior AI/ML lead to design and implement complex multi-step reasoning chains and agentic RAG pipelines using LangGraph and structured output patterns. You will architect safeguard mechanisms, including prompt injection defence, hallucination mitigation, and context-window management across all AI agents, and mentor Applied AI Engineers while aligning with MCP.

Collaborate with global teams to embed AI services into CI/CD pipelines, ensuring observability

Formación

• Bachelor's or Master's in CS/AI with 5+ years hands-on production AI/ML experience
• Expert Python with LangGraph, agentic RAG architectures, and structured output design patterns
• Experience implementing AI safety measures including prompt injection defence and context-window management

Responsabilidades

• Lead design and implementation of multi-step reasoning chains and agentic RAG pipelines
• Architect safeguard mechanisms including prompt injection defence and hallucination mitigation
• Serve as technical reference for Applied AI Engineers in Hyderabad, conducting code reviews and mentoring
• Integrate AI components with Model Context Protocol (MCP) for grounded knowledge
• Collaborate with Germany-based AETHER teams to embed AI services into CI/CD pipelines and ensure compliance

Conocimientos

Python programming

LangGraph

RAG architectures

Structured outputs

AI safety

MCP

CI/CD

Docker/Kubernetes

DevSecOps

Cloud experience

GCP

Educación

Bachelor's or Master's in CS/AI

Herramientas

Docker

Kubernetes

CI/CD tooling

Descripción del empleo

Lead the design and implementation of complex multi-step reasoning chains and

agentic RAG pipelines using LangGraph and structured output patterns.

• Architect and enforce safeguard mechanisms including prompt injection defence, hallucination mitigation, and context-window management across all AI agents.
• Serve as the technical reference for Applied AI Engineers in Hyderabad, conducting code reviews, mentoring on best practices, and driving engineering standards.
• Integrate AI components with the Model Context Protocol (MCP) to ensure agents access a shared, grounded knowledge base with reliable and auditable
• Collaborate with Germany-based AETHER teams to embed AI services into CI/CD pipelines, ensuring seamless deployment, observability, and compliance with EU AI Act and DORA requirements.
• Continuously evaluate and optimise prompt strategies, retrieval mechanisms, and model configurations to improve agent accuracy, latency, and reliability at enterprise scale.

Your profile:

• Bachelor's or Master's degree in Computer Science, AI, or a related field, with 5+ years of hands-on experience building production AI/ML systems.
• Expert-level Python programming skills with deep practical experience in LangGraph, agentic RAG architectures, and structured output design patterns.
• Proven ability to implement AI safety and quality mechanisms including prompt injection defence, hallucination mitigation, and context-window management in
• Strong understanding of the Model Context Protocol (MCP), LLM orchestration patterns, and foundation models such as Anthropic Claude.
• Solid experience with CI/CD integration, containerisation (Docker/Kubernetes), and DevSecOps practices in cloud environments, Any cloud experience or (GCP preferred).