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Rarr Technologies
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Full stack Context Engineer

Full stack Context Engineer

Rarr Technologies

8 - 12 years

7 - 11 Lacs

gurugram

Posted:1 week ago| Platform:

Apply

Skills Required

spring boot automation change management github orchestration enterprise applications microsoft cost cost control testing

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly experienced and innovative

Senior AI Engineer

with a strong background in

Copilot agent development and context engineering

. This role is pivotal in designing intelligent, context-aware AI systems that enhance user productivity and decision-making across enterprise applications.

Key Responsibilities

Agent Architecture & Build

Design and build multi-agent workflows for
generation, testing, review, and fixing
, with
human approval via pull requests (PRs)
.
Implement agents as
GitHub Apps and Actions
that:
- Read issues and specifications
- Propose code changes
- Create PRs with context, branch protections, and code owner rules
Build
context retrieval systems
, including:
- Code indexing
- Semantic search over repositories
- API specifications and schemas to ground agent outputs

Integration & Automation

Integrate agents into
GitHub Actions
for gated execution, including:
- Linting
- SAST
- License checks
- Testing and coverage
Integrate with
Jira, Azure Boards, and GitHub Issues
to provide story context and acceptance criteria.
Automate generation of:
- Documentation
- API docs
- ADR notes
- Changelogs
- Release notes

Guardrails, Security & Governance

Implement
prompt and response filtering
, including:
- PII redaction
- Secure secret handling
- Data egress controls
Enforce policy gates such as:
- CodeQL and SAST
- Dependency scanning
- IaC checks
- OWASP rules
Define
risk tiers
for agent actions (eg, tests vs. business logic vs. infrastructure) and establish escalation paths.

Evaluation, Observability & Cost Control

Build
offline and online evaluation harnesses
to track:
- Agent PR acceptance rates
- Rework and iteration metrics
Instrument agents using
OpenTelemetry
, with dashboards in
Grafana and Datadog
, and structured logging.
Optimize
latency and cost
through:
- Prompt caching
- Using smaller models for simple tasks
- Smart chunking strategies

Change Management & Enablement

Coach developers on:
- Writing agent-friendly stories and specifications
- Effectively reviewing AI-generated PRs
Create and maintain:
- Playbooks
- Runbooks
- Prompt libraries
- Policy packs for ongoing operations

Required Qualifications

8+ years
of software engineering experience, including
3+ years
building LLM-powe'red automation or bots at production scale.
Strong expertise in:
- Java, Spring Boot 3
- Angular/ React, TypeScript
- REST and GraphQL APIs
Extensive experience with
AWS
, including:
- ECS, EKS, Lambda
- API Gateway, S3
- RDS, DynamoDB
- CloudWatch

GitHub Ecosystem Expertise

GitHub Copilot Enterprise and Copilot Chat configuration and adoption.
GitHub Actions authoring, including:
- Composite actions
- Reusable workflows
- Self-hosted runners
GitHub Apps development using:
- REST and GraphQL APIs
- Checks API
- PR review automation

AI & Agent Frameworks

Experience with at least one agentic orchestration framework, such as:
- LangGraph
- LangChain
- Microsoft AutoGen
- Semantic Kernel
- crewAI

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