Posted 19 June, 2026
Sr AI Engineer
Jobgether
India
Full Time
Reference: 113_728854_a3749ffd-b27e-46d4-848b-84ffbecb7f3c
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr AI Engineer based in India.
This role is centered on building production-grade AI systems that move beyond experimentation into real-world impact. You will design and deploy intelligent agent-based solutions powered by modern LLM technologies, primarily within enterprise and Azure ecosystems. Working in a fast-paced engineering environment, you will transform complex business challenges into scalable AI applications, including multi-agent systems, RAG pipelines, and tool-augmented workflows. The role requires strong hands-on engineering depth, with a focus on shipping reliable, production-ready AI systems. You will collaborate across teams to integrate AI into enterprise platforms such as Microsoft 365 and Teams, while ensuring robustness, evaluation, and responsible AI practices. This is a highly technical role for engineers who enjoy ownership, rapid execution, and building the next generation of AI-native systems.
Accountabilities:
- Design, build, and deploy AI agents and multi-agent systems using modern frameworks within the Azure ecosystem
- Develop and maintain MCP servers and tool integrations to connect AI agents with enterprise data sources and workflows
- Build RAG pipelines, orchestration patterns, prompt engineering workflows, and evaluation frameworks for LLM-based systems
- Design and expose scalable RESTful APIs to integrate AI capabilities with enterprise platforms such as Microsoft 365 and Teams
- Build and manage data pipelines for unstructured data such as transcripts, customer interactions, and support logs
- Implement CI/CD pipelines, monitoring systems, and responsible AI safeguards for production AI solutions
- Use AI-native development tools (e.g., Copilot CLI, Cursor, Claude Code, agent-based IDEs) as part of daily engineering workflows
- Contribute across infrastructure, low-code agent configuration, and data engineering as needed in a fast-evolving environment
Requirements:
- 7+ years of software engineering experience, including 3+ years working on GenAI/LLM systems in production
- Strong hands-on experience building AI agents using platforms such as Azure AI Foundry, Microsoft Agent Framework, or similar tools
- Deep expertise in LLM engineering, including prompt design, evaluation strategies, structured outputs, and model selection
- Advanced proficiency in Python with experience building scalable, production-grade systems
- Strong experience designing and developing RESTful APIs for enterprise applications
- Solid understanding of Azure cloud services, including deployment, identity, search, and infrastructure components
- Proven experience building RAG systems, orchestration workflows, and tool-augmented AI pipelines
- Hands-on experience with CI/CD, monitoring, and responsible AI implementation in production environments
- Experience working with unstructured data pipelines and large-scale AI system integration
- Strong ownership mindset with the ability to operate independently in ambiguous, fast-moving environments
- Preferred: experience with MCP protocols, LLMOps/evaluation frameworks, PySpark, Copilot Studio, Kubernetes, or enterprise AI integrations
Benefits:
- Competitive compensation aligned with experience and market standards
- Opportunity to work on cutting-edge AI agent and LLM-based production systems
- Fully remote-friendly or flexible work arrangements (depending on project requirements)
- Exposure to enterprise-scale AI deployments within Microsoft ecosystem technologies
- Learning and growth opportunities in GenAI, agentic systems, and cloud-native AI architecture
- Collaborative, innovation-driven engineering culture focused on real-world impact
- Opportunity to work with modern AI development tools and emerging frameworks
- Inclusive and diverse work environment emphasizing collaboration, transparency, and accountability.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
