Senior AI Software Engineer ID87003

AgileEngine; Gurugram District; On-site; INR 3,500,000 - 6,500,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility

Meaningful, modern projects

Collaborative culture

Well-being & support

Job summary

AgileEngine is seeking a Senior AI Engineer to design and deploy AI-powered backend services, agents, and MCP integrations that connect intelligent systems to business tools. You will work with Java and/or Python to balance performance, reliability, and cost, moving between experimentation and production support.

You will build AI agents and orchestration workflows, integrate with external platforms, and contribute to best practices for AI engineering and MCP adoption while collaborating across

Qualifications

• 4+ years of engineering experience in software, backend, or applied AI.
• Proficient in Java and/or Python.
• Hands-on with AI-powered applications or production LLM integrations.
• Experience designing AI agents, orchestration workflows, or tool-using automation.
• Experience with MCP or similar integration patterns.
• Strong knowledge of system design, APIs, distributed systems, and production software engineering.
• Familiarity with prompt design, context management, evaluation methods, and reliability patterns for agent systems.
• Demonstrated ability to work in fast-paced delivery environments.
• Delivery-focused with cross-functional collaboration under tight timelines.
• Strong ownership mindset and problem-solving skills.
• Upper-intermediate English.

Responsibilities

• Design, build, and enhance AI-powered backend services.
• Create AI agents and orchestrate multi-step workflows with enterprise tool integrations.
• Develop MCP-based integrations to connect AI systems with external platforms and APIs.
• Implement prompt orchestration, context handling, memory patterns, and evaluation workflows.
• Collaborate with engineering, product, and architecture teams on scalable AI patterns.
• Integrate LLM capabilities into software while balancing performance, reliability, and cost.
• Investigate issues, improve quality, and optimize AI workflow efficiency in production.
• Participate in code reviews, release support, and production incident resolution.
• Create technical docs and promote best practices for AI engineering and MCP adoption.

Skills

Java

Python

AI engineering

LLM integration

MCP integration

System design

APIs

Distributed systems

Prompt design

English communication

Ownership mindset

Tools

Salesforce

Jira

Slack

Kubernetes

Prometheus

Job description

Job Description:

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

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.
• Strong 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

• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• Well-being & support: access local well-being programs and people-focused support tailored to your location