AI Solutions Engineer 1 at Allegis Global Solutions

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, Azure, Large Language Models, Prompt Engineering, RAG Patterns, Semantic Kernel, Git, CI/CD, Docker, REST APIs, Dataverse, SQL, Snowflake, Agentic Workflows, Unit Testing

Industry

Staffing and Recruiting

Description

Company Description Working at Allegis Global Solutions (AGS) is more than just a job. It’s a career. It’s a community of people who invest in your development and empower you to blaze your own trail. Each of us is here to create real, measurable impact that moves needles. We operate beyond "roles" or "jobs" to realize the opportunity to make meaningful contributions to a bigger idea. Because we believe that when you build a workforce that’s designed to harness human enterprise, you design a workforce that’s built for impact. At AGS, we help companies all over the world transform their people into a competitive advantage. It’s not about filling seats. It’s about designing workforces to meet missions and unleash the most transformative power in business today: The power of human enterprise. With services around the globe, we have a point of view on the future of work that enables us to be a transformative partner in the way work gets done for our clients’ organizations. Meeting clients where they are, we design a plan and guide them along a transformational journey, applying bold actions and diverse minds to solve the most complex challenges – from permanent and extended workforce management to services procurement, consulting, direct sourcing and our Universal Workforce Model™. We also represent over 100 countries and speak dozens of languages. So as you’re building relationships and doing your job, you’ll be exposed to other cultures and advancement opportunities while expanding your knowledge of global markets and strategies. As a workplace, we focus on relationships – with each other, our clients and our candidates - in fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful. See what it’s like to work at AGS by searching #LifeAtAGS on any social network. Job Description About the Role We're building AGS's AI Engineering team from the ground up, and we're hiring engineers at the start of their careers who want to build real AI systems—not tinker with demos. As a AI Solutions Engineer I, you'll write code that ships to production, contributing to intelligent agents, agentic workflows, and the reusable Foundation Layer capabilities that power them. This is a learning-intensive role with real responsibility. You'll pair with senior engineers and the Lead, participate in code reviews, and build working features from day one. We don't expect you to know LLMs or the Microsoft ecosystem yet—we expect strong software engineering fundamentals and the drive to learn fast. If you can write clean code, reason about problems clearly, and take feedback well, we'll invest in your growth. We hire engineers, not configuration specialists. If you want to write real software that solves real problems using AI, this is where to start. Responsibilities Build & Deliver Develop features for intelligent agents, conversational interfaces, and agentic workflows Implement components of Foundation Layer services under guidance from senior engineers Write integrations between AI capabilities and enterprise systems (M365, Dataverse, external APIs) Write clean, tested code that follows team patterns and standards Fix bugs, investigate issues, and improve existing solutions Learn & Grow Pair program with senior engineers and the Lead to learn architecture patterns and best practices Participate actively in code reviews—ask questions, give thoughtful feedback, and apply what you learn Build understanding of our technology stack: Semantic Kernel, Azure, Microsoft 365, LLMs Develop skills in prompt engineering, RAG patterns, and agent design through hands-on work Take on progressively more complex work as your skills develop Engineering Practices Write unit and integration tests for your code Follow CI/CD practices and contribute to build and deployment processes Document your work—what you built, why, and how it works Monitor deployed solutions and participate in incident response Collaboration Work with AI Solutions Analysts to understand requirements and ask clarifying questions Communicate progress, blockers, and what you're learning to your team Participate in sprint ceremonies and contribute to planning discussions Support QA by clarifying implementation details and fixing defects Qualifications Qualifications Required 1–3 years of software engineering experience (internships and personal projects count) Strong programming skills in Python and/or TypeScript Solid CS fundamentals: data structures, algorithms, and basic systems thinking Experience with Git and version control workflows Ability to write and run tests Clear communication skills—you can explain your code and your reasoning Intellectual curiosity and a bias toward learning by building Preferred Experience building web applications or APIs (any framework) Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to AI/ML concepts, LLMs, or chatbot development Experience with CI/CD pipelines or containerization (Docker) Computer science degree or equivalent practical experience Familiarity with agile development practices Technology Stack Languages: Python, TypeScript Platforms: Azure (Container Apps, Functions, AI Services), Microsoft 365 Agent Development: Copilot Studio, Power Automate, custom orchestration Data: REST APIs, Dataverse, SQL, Snowflake AI/ML: Large Language Models, prompt engineering, RAG patterns, MCP Tools: Git, GitHub, CI/CD pipelines, Docker We don't expect you to know all of this. We expect the fundamentals and the ability to learn the rest quickly. What We're NOT Looking For People who want to configure tools rather than write code Engineers who wait to be told exactly what to do and how to do it Developers who skip testing, documentation, or code review People who treat AI as a black box rather than something to understand What Makes You Stand Out You've built something—a side project, an open-source contribution, a school project you're proud of You write code that's clean and readable, not just functional You ask good questions when you're stuck instead of spinning You take feedback as fuel, not criticism You're curious about how things work under the hood You want to be great at this, not just good enough Career Growth This is the entry point for our engineering career track: Junior → Senior → Lead → Architect You'll have a clear path forward with real mentorship. The Lead AI Solutions Engineer and senior engineers will invest in your development through pairing, code review, and progressively larger scope. Engineers who grow quickly here will take on ownership of features, then systems, then architecture. Additional Information As a workplace, we focus on relationships – with each other, our clients and our candidates - in fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful. See what it’s like to work at AGS by searching #LifeAtAGS on any social network.

Responsibilities

Develop features for intelligent agents, conversational interfaces, and agentic workflows using the Foundation Layer. Implement integrations between AI capabilities and enterprise systems while following clean code and testing standards.