F22 LABS - AI Engineer

F22 Labs; Surat; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

F22 Labs seeks an AI Engineer to build AI-native solutions that power transformative outcomes across customer interactions, operations, and enterprise architecture. You’ll craft production-grade agentic AI systems and intelligent data pipelines, delivering measurable client value and ROI.

You will design scalable AI architectures, ship features at high velocity, and collaborate with client teams to turn strategy into executable technical roadmaps, mentoring others along the way.

Responsibilities

• Design, build, and deploy production-grade agentic AI systems and multi-agent workflows with RAG architectures on cloud platforms (AWS, Gemini Enterprise / Google Cloud).
• Architect scalable AI solutions for enterprise environments with thousands of users and millions of transactions.
• Deliver features quickly using AI-assisted development while maintaining code quality and reliability.
• Translate client needs into AI solutions through workshops and architectural decisions, with measurable impact.

Job description

About The Role

As an AI Engineer, you'll build AI-native solutions that power transformative outcomes across Customer Interactions, AI-Led Business Operations, and Enterprise Architecture.

About The Role

As an AI Engineer, you'll build AI-native solutions that power transformative outcomes across Customer Interactions, AI-Led Business Operations, and Enterprise Architecture.

Every system you build, every agent you architect, every integration you design directly translates into measurable client value.

This is not a "make the demo work" role you're the builder who turns AI potential into production systems that scale, perform, and deliver ROI.

Build AI-Native Solutions (65%)

• Engineer for impact : Design, build, and deploy production-grade agentic AI systems multi-agent workflows, RAG architectures, LLM-powered automation, and intelligent data pipelines on our partner platforms (AWS, Gemini Enterprise / Google Cloud).


• Architect with scale in mind : Create solutions that thrive in enterprise environments with thousands of users and millions of transactions.


• Ship velocity : Leverage AI-assisted development to deliver features 23x faster than traditional methods while maintaining code quality and reliability.


• Own technical decisions : Choose the right AI stack, model, framework, and architecture balancing performance, cost, and maintainability.


• Solve across practices : Build customer service agents, inventory intelligence systems, or enterprise integration platforms depending on client needs.
  

Drive Client Success (25%)

• Translate business to technical : Participate in discovery workshops, understand client pain points, and architect AI solutions that deliver measurable outcomes.
  


• Demo with confidence : Present technical solutions to client stakeholders, explain architectural decisions, and build trust through technical credibility.


• Iterate with feedback : Work embedded with client teams, gather real-world usage insights, and continuously optimize solutions for adoption and impact.


• Bridge consulting and engineering : Collaborate with Solutions Consultants and Practice Leaders to turn strategy into executable technical roadmaps.
  

Mentor & Multiply (10%)

• Elevate the team : Guide junior engineers on AI-native development practices, code reviews, architectural thinking, and problem-solving approaches.


• Share knowledge : Document patterns, build reusable accelerators, and create technical playbooks that make the entire team more effective.


• Champion AI-first workflows : Demonstrate how to leverage Claude Code, Cursor, and modern AI tools to achieve 60 - 70% AI-assisted development velocity.
  

(ref:hirist.tech)