Senior AI Engineer

Argano; Hyderabad; On-site; INR 11,289,000 - 16,933,000; Full time

Job summary

Keste in Mexico or Colombia seeks a Senior AI Engineer who combines strong software fundamentals with hands-on AI agent development for real business problems. You will work directly with clients to map business processes in finance, customer service, and supply chain, then design, build, and deploy enterprise-grade AI solutions that automate workflows.

You will develop AI agents on Azure (Azure AI Foundry), implement RAG pipelines, and integrate services in C# and Python, following DevOps

Qualifications

• Proven experience working directly with clients and managing stakeholders.
• Background in business process analysis across finance, customer service, or supply chain.
• Software development with microservices and monolithic architectures.
• Proficiency in C# and Python.
• Understanding of DevOps practices, CI/CD, infrastructure as code, and observability.
• Experience building RAG solutions and retrieval techniques.
• Hands-on Azure experience, including Azure AI Foundry.
• Experience with AWS or Google Cloud; familiarity with at least two clouds.
• Understanding of agent runtime, orchestration, model selection and tooling.
• Experience delivering enterprise implementations.
• Highly organized, self-directed, able to manage multiple priorities.

Responsibilities

• Map client processes to AI agent solutions.
• Design, build, and deploy AI agents on Azure with runtimes and orchestration.
• Develop RAG solutions with vector search and re-ranking.
• Lead enterprise implementations through production rollout and support.
• Develop services in C# and Python following DevOps standards.
• Make architectural decisions across microservices and monoliths.
• Evaluate models, tools, and monitor quality, cost, and performance.
• Document solutions and communicate complex concepts to stakeholders.

Skills

Client communication

Workflow analysis

Microservices

C#

Python

DevOps

RAG

Azure

AWS

GCP

Azure Foundry

Tools

Azure AI Foundry

Semantic Kernel

LangChain

AutoGen

Azure AI Search

pgvector

Pinecone

CI/CD

Job description

About the Role

We are looking for a Senior AI Engineer who combines strong software engineering fundamentals with hands‑on experience building AI agents for real business problems. In this client‑facing role, you will work directly with customers to understand their business processes and workflows (finance, customer service, supply chain), then design, build, and deploy enterprise‑grade AI solutions that automate and improve them. This role is based in Mexico or Colombia.

The ideal candidate is an organized self‑starter who is equally comfortable in a discovery workshop with a client and in a code editor building agent orchestration, retrieval pipelines, and cloud infrastructure.

What You'll Do

• Partner with clients to map existing business processes and workflows, identify automation opportunities, and translate them into AI agent solutions.
• Design, build, and deploy AI agents on Azure (including Azure AI Foundry), with a working understanding of agent runtime, orchestration, models, and tooling.
• Build Retrieval‑Augmented Generation (RAG) solutions, applying appropriate retrieval techniques (e.g., vector search, hybrid search, chunking strategies, re‑ranking) to ground model responses in enterprise data.
• Lead and contribute to enterprise implementations, from requirements through production rollout and ongoing support.
• Develop services and integrations in multiple languages, primarily C# and Python, following DevOps standards (CI/CD, infrastructure as code, automated testing, monitoring).
• Make sound architectural decisions across microservice and monolithic systems, and integrate AI capabilities into existing client environments.
• Evaluate and select models, tools, and frameworks; test and monitor agent quality, safety, cost, and performance.
• Document solutions and communicate technical concepts clearly to both technical and non‑technical stakeholders.

Required Qualifications

• Proven experience working directly with clients, with strong communication and stakeholder‑management skills.
• Background in business process or workflow analysis in at least one domain such as finance, customer service, or supply chain.
• Software development background with experience in both microservices and monolithic architectures.
• Proficiency in multiple programming languages, including C# and Python.
• Working knowledge of DevOps standards and practices (source control, CI/CD pipelines, infrastructure as code, observability).
• Experience building RAG solutions and applying retrieval techniques.
• Experience building AI agents on Azure, including Azure AI Foundry.
• Hands‑on experience with at least one additional major cloud platform (AWS or Google Cloud); working experience with at least two of the three major clouds.
• Understanding of agent runtime, orchestration, model selection, and tooling.
• Experience delivering enterprise implementations.
• Highly organized, self‑directed, and able to manage multiple priorities with minimal supervision.

Preferred Qualifications

• Experience with agent frameworks and orchestration tools (e.g., Semantic Kernel, LangChain, AutoGen).
• Familiarity with vector databases and search platforms (e.g., Azure AI Search, pgvector, Pinecone).
• Experience with LLM evaluation, prompt engineering, and responsible AI practices.
• Cloud or AI certifications (e.g., Azure AI Engineer, AWS Solutions Architect).
• Experience with enterprise security, identity, and compliance requirements.

Core Competencies

• Client focus: Builds trust, listens well, and turns business needs into practical solutions.
• Technical breadth: Comfortable across languages, clouds, and architectural styles.
• Ownership: Takes initiative and drives work from idea to production.
• Organization: Plans carefully, tracks details, and delivers on commitments.
• Communication: Explains complex AI concepts clearly to varied audiences.