About the Role

We are looking for a Senior AI Engineer to build AI-powered applications, agents, and MCP integrations connecting intelligent systems to business tools. Working in Java and/or Python, this person turns LLM capabilities into production-grade backend services, balancing performance, reliability, and cost. Comfort moving between experimentation and production support matters here.

What you will do

- Design, build, and enhance AI-powered applications and backend services for internal or customer-facing use cases.
- Build and maintain AI agents and agentic workflows that can reason, orchestrate tasks, and integrate with enterprise tools and services.
- Develop MCP-based integrations and tool interfaces that enable AI systems to interact securely with external platforms, APIs, and business systems.
- Implement prompt orchestration, context handling, tool calling, memory patterns, and evaluation workflows for reliable agent behavior.
- Collaborate with engineering, product, and architecture teams to define scalable patterns for AI agent development and deployment.
- Integrate LLM capabilities into software systems while balancing performance, reliability, cost, and safety.
- Investigate system issues, improve quality and observability, and optimize AI workflow efficiency in production environments.
- Participate in code reviews, release support, experimentation, and production incident resolution.
- Create technical documentation and contribute to best practices for AI engineering, agent development, and MCP adoption.

Must haves

- 4+ years of experience in software engineering, backend engineering, or applied AI engineering.
- Solid programming skills in Java and/or Python.
- Hands-on experience building AI-powered applications or integrating LLM capabilities into production systems.
- Experience designing or building AI agents, multi-step orchestration workflows, or tool-using automation systems.




- Experience with MCP or similar integration patterns for connecting AI systems to external tools, APIs, or enterprise platforms.
- Strong understanding of system design, APIs, distributed systems, and production software engineering fundamentals.
- Familiarity with prompt design, context management, evaluation approaches, and reliability patterns for agent-based systems.
- Proven ability to work effectively in fast-paced delivery environments.
- Delivery-oriented and comfortable operating across development, experimentation, and production support responsibilities.
- Effective at collaborating with cross-functional teams under tight timelines.
- Strong ownership mindset with practical problem-solving skills.
- Upper-intermediate English level.

Nice to haves

- Experience with multi-agent systems, retrieval-augmented generation, semantic search, or vector-based architectures.
- Familiarity with cloud-native infrastructure, monitoring, and observability for AI services.
- Experience with model evaluation, guardrails, safety patterns, and prompt/version lifecycle management.
- Experience integrating AI solutions with enterprise platforms such as Salesforce, Jira, Slack, or internal developer tools.
- Background in workflow automation, event-driven systems, or backend platforms that support AI-enabled products.

Perks and benefits

- Remote work & Local connection

Work where you feel most productive and connect with your team in periodic meet-ups to strengthen your network and connect with other top experts.

- Legal presence in India

We ensure full local compliance with a structured, secure work environment tailored to Indian regulations.

- Competitive Compensation in INR

Fair compensation in INR with dedicated budgets for your personal growth, education, and wellness.

- Innovative Projects

Leverage the latest tech and create cutting-edge solutions for world-recognized clients and the hottest startups.

📌 Artificial Intelligence Engineer (India)
🏢 AgileEngine
📍 India