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Forward Deployed Engineer -Agentic AI

C5i

Bengaluru

4-6 years

1 day ago

$31.3K–43.4K/yr

Full time

Onsite

Skills Required Agentic AI

LangChain

RAG

Vector Database

Prompt Engineering

LangGraph

CrewAI

Evaluation Harnesses

Python

Cloud Platforms

CI/CD

Testing

Infrastructure as Code

Security

DevSecOps

Description We are seeking a Forward Deployed Engineer (Agentic AI) to build and deploy production-grade agentic systems for regulated enterprise clients. The role is embedded within client squads and involves direct work on client infrastructure and data in complex, security-conscious environments.

Role: Forward Deployed Engineer -Agentic AI

Experience

- 4–6 years of experience
- Strong programming fundamentals in Python
- Production-grade coding discipline
- Strong cloud platform experience
- Working knowledge of CI/CD, testing, infrastructure as code, and security best practices
- Strong problem-solving ability
- Comfort working in ambiguous environments
- Clear client-facing communication skills
- Strong academic background in computer science, engineering, mathematics, or physics

Qualification

- Strong academic background in computer science, engineering, mathematics, or physics

Responsibilities

- Build 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
- 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
- Work closely with client technical teams and represent work clearly in design reviews and discussions
- Use AI coworkers effectively as part of the delivery process while maintaining engineering judgment and accountability

Nice To Have

- TypeScript
- Java
- 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
- Familiarity with MCP servers
- Familiarity with human-in-the-loop workflows

More Skills cloud technologies, agentic AI systems, security best practices, IAM, observability, multi-agent workflows, MCP servers, human-in-the-loop systems, enterprise AI platforms, AI coworkers

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