Forward Deployed Engineer

C5i; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

C5i in Bengaluru seeks a Forward Deployed Engineer – Agentic AI to build production-grade AI agent systems for regulated enterprise clients. You will work with client teams in security-conscious settings and with AI coworkers to deliver reliable, scalable solutions.

The role requires 4–6 years of experience, strong Python and cloud skills, and hands-on experience with agentic AI tools. You will contribute to design reviews, runbooks, and reusable IP while ensuring security and data constraints

Qualifications

• Bachelor's degree or equivalent in CS or related field is required.
• Strong programming fundamentals in Python and problem-solving ability.
• Experience with agentic AI tools and cloud platforms is essential.

Responsibilities

• Build production-grade agentic systems on cloud platforms.
• Design multi-agent workflows, RAG pipelines, and tool integrations.
• Write evaluations and define success criteria for system performance.
• Integrate solutions into regulated enterprise environments with security constraints.
• Own code quality, testing, documentation, and production support.
• Practice DevSecOps including CI/CD, infrastructure as code, secrets management, IAM, observability.
• Contribute reusable IP and design patterns for future projects.
• Stay updated with cloud developments and agentic AI ecosystem.
• Collaborate with client teams and present designs clearly.

Skills

Python

Problem solving

Ambiguity tolerance

Education

Bachelor's degree in Computer Science or related field

Tools

LangGraph

LangChain

CrewAI

Job description

We’re looking for a Forward Deployed Engineer – Agentic AI to build and deploy production-grade AI agent systems for regulated enterprise clients. The ideal candidate has 4–6 years of experience, strong Python and cloud skills, and hands-on experience with agentic AI tools. You’ll work closely with client teams in security-conscious environments and collaborate with AI coworkers to build reliable, scalable, and high-quality solutions.

Responsibilities:

• DBuild production-grade agentic systems on cloud platforms and enterprise AI platforms
• Design and implement multi-agent workflows, RAG pipelines, tool integrations, MCP servers, and human-in-the-loop systems
• Write evaluations before features and define clear success criteria for system performance
• Integrate solutions into regulated enterprise environments with real security, access, and data constraints
• Own code quality, testing, documentation, and production support
• Practice DevSecOps from day one, including CI/CD, infrastructure as code, secrets management, IAM, and observability
• Contribute reusable IP such as code modules, evaluation frameworks, deployment runbooks, and design patterns
• Stay current with developments across cloud platforms and the broader agentic AI ecosystem, including leading AI labs and frontier releases
• Work closely with client technical teams and represent your work clearly in design reviews and discussions
• Use AI coworkers effectively as part of the delivery process while maintaining engineering judgment and accountability

Required Skills:

• Strong programming fundamentals in Python
• Hands-on experience with agentic AI frameworks such as LangGraph, LangChain, CrewAI, or equivalent
• Understanding of RAG architectures, vector databases, prompt engineering, and evaluation harnesses
• Working knowledge of CI/CD, testing, infrastructure as code, and security best practices
• Strong problem-solving ability and comfort working in ambiguous environments
• Strong academic background in computer science, engineering, mathematics, or physics

Good to Have Skills:

• Experience with TypeScript, Java, or Go
• Cloud certifications relevant to your platform experience
• Experience building production agentic systems for regulated enterprises
• Experience with DevSecOps, observability, and enterprise security constraints
• Ability to use AI tools effectively as part of the development process
• Experience creating reusable technical assets for future teams
• Exposure to leading AI labs and open-source frontier work
• Familiarity with multi-agent orchestration, MCP servers, and human-in-the-loop workflows

Qualifications

• Bachelor's degree or equivalent experience in Computer Science or related field