Senior Engineer Software - AI

We are excited to announce an opening for Senior Engineer Software at ACI. Please find below the details of the role and its responsibilities.

Skills Required:

Python, Vertex AI, Azure Machine Learning, LangChain, LangGraph, RAG, Vector Databases, Generative AI, LLMs, AI Agents, Prompt Engineering, REST APIs, Kafka, Event-Driven Architecture, Docker, Kubernetes, CI/CD, Azure DevOps, GitHub Actions, PostgreSQL, MongoDB, Cassandra, Azure AI Search, Vertex AI Vector Search MLOps, Observability, GitHub Copilot

Experience Range:

6 - 9 years

Position Title: Senior Engineer Software (T07)

Function:

Roles & responsibilities:

• Writes production-grade AI application code daily and conducts code reviews, maintaining high standards of quality, security, and scalability.
• Evaluates complex business requirements and translates them into AI-powered solutions using Machine Learning, Generative AI, and Agentic AI frameworks.
• Designs and develops enterprise AI applications using Python and cloud-native AI platform services.
• Improve and sustain existing AI services and platforms, reducing technical debt while enhancing model quality, performance, and reliability.
• Conducts feasibility studies for AI use cases and recommends appropriate AI/ML, GenAI, and RAG solution approaches.
• Demonstrates and models of engineering excellence while mentoring junior engineers on AI development best practices.
• Focuses on quality in all aspects of AI solution delivery, including model evaluation, observability, governance, and production readiness.
• AI Development: Designs and develops AI solutions using Python, Large Language Models (LLMs), prompt engineering, and AI orchestration frameworks.
• RAG Solutions: Builds and maintains Retrieval-Augmented Generation (RAG) pipelines, embedding services, chunking strategies, retrieval workflows, and enterprise knowledge solutions.
• AI Agents: Develops AI agents using LangChain, LangGraph, or similar frameworks, including tool calling, workflow orchestration, memory management, and human-in-the-loop capabilities.
• Vector Search: Designs and implements vector search solutions using Azure AI Search, Vertex AI Vector Search, Pinecone, Weaviate, pgVector, or similar technologies.
• AI Integration: Integrates AI solutions with enterprise systems through REST APIs, Kafka, messaging platforms, and event-driven architectures.
• Cloud & Delivery: Deploys AI models and services on Vertex AI or Azure Machine Learning platforms while leveraging Docker, Kubernetes, CI/CD pipelines, and GitOps practices.
• Quality: Implements automated validation, testing, evaluation frameworks, prompt testing, and performance monitoring for AI applications.
• Production: Supports AI services in production environments through observability, logging, monitoring, troubleshooting, and on-call participation.
• Understands client and stakeholder expectations and proactively escalates risks impacting AI solution delivery.
• Participates in innovation initiatives, recruiting activities, technical presentations, and AI knowledge-sharing across the organization.
• Collaborates across business, data science, architecture, and engineering teams to deliver enterprise AI solutions.

Experience Required:

• 6-9 years of software engineering experience developing enterprise applications.
• 4+ years of hands-on Python development experience.
• Experience designing and developing AI/ML, Generative AI, or intelligent automation solutions.
• Hands-on experience with Large Language Models (LLMs), prompt engineering, and AI application development.
• Experience implementing Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge retrieval solutions.
• Hands-on experience with Vector Databases such as Azure AI Search, Vertex AI Vector Search, or pgVector.
• Experience deploying AI/ML solutions using Vertex AI or Azure Machine Learning.
• Experience developing REST APIs, microservices, and event-driven integrations.
• Experience integrating AI solutions with Kafka, APIs, messaging systems, and enterprise applications.
• Experience with Docker and Kubernetes in cloud environments.
• Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
• Experience with MLOps practices including model deployment, monitoring, versioning, and evaluation.
• Experience with PostgreSQL, MongoDB, Cassandra, or similar database technologies.
• Familiarity with observability practices including logging, monitoring, metrics, and tracing.
• Experience working within Agile software delivery methodologies.
• Ability to understand business requirements and translate them into scalable AI solutions.
• Familiarity with GitHub Copilot or similar AI-assisted development tools.

Competencies:

• Compassionate and kind, showing courtesy, dignity, and respect.
• Shows integrity in all activities without compromising business ethics.
• Embraces inclusion and encourages diverse perspectives and ideas.
• Team-oriented and positively contribute to team morale.
• Continuously learn and adapt to emerging AI technologies.
• Think strategically and proactively anticipate future business and technology needs.
• Retail and Supply Chain domain experience preferred.
• Experience mentoring engineering teams.
• Hands-on experience supporting production environments with an SRE mindset.
• Passion for AI innovation and business transformation.

Mandatory Skills Required:

• Programming Languages
• Python
• SQL

AI & Generative AI:

• Large Language Models (LLMs)
• Prompt Engineering
• LangChain
• LangGraph
• Retrieval-Augmented Generation (RAG)
• AI Agents

Cloud AI Platforms:

• Google Vertex AI and/or Azure Machine Learning

Vector Databases:

• Azure AI Search
• Vertex AI Vector Search
• pgVector

Backend & Integration:

• REST APIs
• Event-Driven Architecture
• Apache Kafka
• FAST API

Cloud Technologies:

• Azure or GCP
• Docker
• Kubernetes

CI/CD & MLOps:

• Azure DevOps
• GitHub Actions
• Git
• Model Deployment
• Model Monitoring

Databases:

• PostgreSQL
• MongoDB
• Cassandra

Observability:

• Logging
• Metrics
• Distributed Tracing

Domain:

• Retail / Supply Chain