Senior AI Software Engineer ID87003

AgileEngine; New Delhi; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Job summary

AgileEngine in India seeks a Senior AI Engineer to design and deploy AI-powered applications and backend services. You will turn LLM capabilities into production-grade solutions, balancing performance and cost.

You will build AI agents and MCP-based integrations, collaborate with cross-functional teams, and contribute to best practices for AI engineering while ensuring reliability and observability in production.

Qualifications

• 4+ years of experience in software/backend or 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.
• Upper-intermediate English level.

Responsibilities

• 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.

Skills

4+ years experience

Java

Python

AI-powered apps

LLM production

MCP integrations

System design

Prompt design

English (upper-intermediate)

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.

WHY JOIN US

If youre looking for a place to grow, make an impact, and work with people who care, wed 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