Sr AI Engineer at Beyondsoft Singapore

, , India -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

0.0

Posted On

17 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Agent Development, LLM Engineering, Python, Azure AI Foundry, RAG Pipelines, Prompt Engineering, RESTful APIs, Azure Cloud Infrastructure, CI/CD, MCP Servers, Microsoft Agent Framework, Data Pipelines, Model Evaluation, M365 Copilot, GitHub Copilot CLI, Cursor

Industry

IT Services and IT Consulting

Description

Overview WHO WE ARE: Beyondsoft is a leading mid-sized business IT and consulting company that combines modern technologies and proven methodologies to tailor solutions that move your business forward.Our global head office is based in Singapore, and our team is made up of a diversely talented team of experts who thrive on innovation and pushing the bounds of technology to solve our customers’ most pressing challenges.When it comes time to deliver, we set our sights on that sweet spot where brilliance, emerging technologies, best practices, and accountability converge. We have a global presence spanning four continents (North America, South America, Europe, and Asia). Our global network of talent and customer-centric engagement model enables us to provide top-quality services on an unprecedented scale. WHAT WE’RE ABOUT: We believe that collaboration, transparency, and accountability are the values that guide our business, our delivery, and our brand. Everyone has something to bring to the table, and we believe in working together with our peers and clients to leverage the best of one another in everything we do. When we proactively collaborate, business decisions become easier, innovation is greater, and outcomes are better. Our ability to achieve our mission and live out our values depends upon a diverse, equitable, and inclusive culture. So, we strive to foster a workplace where people have the respect, support, and voice they deserve, where innovative ideas flourish, and where people can unleash their brilliance. For more information regarding DEI at Beyondsoft, please go to https://www.beyondsoft.com/diversity/. ADDITIONAL REQUIREMENT FOR REMOTE POSITIONS: For remote positions, all candidates must complete a video screen with our corporate recruiting team. Responsibilities POSITION SUMMARY: We are seeking a highly hands-on AI Engineer who thrives in building real-world, production-ready solutions. This role is focused on designing, developing, and deploying end-to-end AI agent solutions using modern tooling—primarily within the Microsoft ecosystem. You will work in a fast-paced, innovation-driven environment, taking ambiguous business problems and turning them into scalable, pragmatic AI-powered solutions. This is a core engineering role requiring strong ownership, execution speed, and deep hands-on expertise in AI/LLM systems. WHAT YOU WILL BE DOING: Build and deploy AI agents and multi-agent systems on Azure using composable patterns Build and consume MCP servers to connect agents to internal data sources, tools, and enterprise workflows Design orchestration patterns, tool integrations, and RAG pipelines Develop prompt engineering and evaluation workflows (including automated eval loops) Build APIs for agent integration with enterprise platforms (M365 Copilot, Teams) Implement data pipelines for unstructured data (transcripts, support interactions) Set up CI/CD, responsible AI controls, and production monitoring Use agentic dev tools (GHC CLI, Claude Code, Cursor, Copilot agent mode) as your primary development workflow Flex into low-code agent configuration, infrastructure, and data engineering as needed Qualifications MINIMUM QUALIFICATIONS: 7+ years of software engineering experience, with at least 3+ years building GenAI/LLM-based solutions in production environments Strong hands-on experience in AI agent development, including building and deploying agents using platforms such as Azure AI Foundry, Microsoft Agent Framework, or similar Proven expertise in LLM/GenAI engineering, including prompt engineering, model selection, evaluation, and structured outputs Advanced proficiency in Python, with experience writing production-quality, scalable, and well-tested code Experience designing and building RESTful APIs for enterprise-grade applications Strong understanding of Azure cloud infrastructure, including deployment pipelines, identity, and search services Experience building RAG pipelines, orchestration patterns, and tool integrations Hands-on experience working with AI-native developer tools such as GitHub Copilot CLI, Claude Code, Cursor, or similar Ability to build and manage data pipelines for unstructured data (e.g., transcripts, support interactions) Experience implementing CI/CD pipelines, monitoring, and responsible AI practices Demonstrated experience in building real AI systems (not just API integrations) PREFERRED QUALIFICATIONS: Experience with MCP server development or similar agent-tool integration protocols. Exposure to LLM/ML Ops, including evaluation frameworks and automated testing loops. Familiarity with PySpark, NLP pipelines, or large-scale data processing. Experience with Copilot Studio and Power Platform. Knowledge of containerization technologies (Docker, Kubernetes). Front-end development experience for building AI-integrated user interfaces. Experience integrating AI solutions with enterprise tools such as Microsoft Teams and M365 Copilot. Strong understanding of agent evaluation frameworks and automated evaluation workflows. Full-stack development experience is a plus. Beyondsoft provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regards to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, and the full employee lifecycle up through and including termination.

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Responsibilities

Design, develop, and deploy end-to-end AI agent solutions and multi-agent systems primarily within the Microsoft ecosystem. Build RAG pipelines, MCP servers, and APIs to integrate AI agents with enterprise platforms like Teams and M365 Copilot.