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Generative AI/GEN AI
Generative AI/GEN AI
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Generative AI/GEN AI

Arpita Pathak's profile picture
Posted by Arpita Pathak
4 - 6 yrs
₹7L - ₹10L / yr
Indore, Pune, Ahmedabad
Skills
skill iconPython
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Generative AI
Large Language Models (LLM) tuning
Retrieval Augmented Generation (RAG)
AWS CloudFormation
Google Cloud Platform (GCP)
AZURE AI SERVICES
Python, ML/AI, LLMs, RAG, Cloud, Azure AI Services

Experience - 4 to 6 year

Location – Ahmedabad/Pune/Indore

  • Additional Job Description

Additional Job Description

Required Skills and Experience: 

  • Strong proficiency in Python and experience with ML/AI libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face ecosystem).
  • Hands-on experience with LLMs, RAG, vector databases, and retrieval pipelines.
  • Practical experience deploying agentic workflows and building multi-step, tool-enabled agents.
  • Experience using Garak (or similar LLM red-teaming/vulnerability scanners) to identify model weaknesses and harden deployments.
  • Demonstrated experience implementing content filtering / moderation systems.
  • Solid skills working with structured and unstructured data and advanced feature engineering.
  • Familiarity with cloud GenAI platforms and services (Azure AI Services preferred; AWS/GCP acceptable).
  • Experience building APIs/microservices; containerization (Docker), orchestration (Kubernetes).
  • Strong understanding of model evaluation, performance profiling, inference cost optimization, and observability.
  • Good knowledge of security, data governance, and privacy best practices for AI systems.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Einfochips

Founded :
1994
Type :
Products & Services
Size
Stage

About

eInfochips, an Arrow company, is a global leader in product engineering and semiconductor design services, providing digital transformation and connected IoT solutions across various cloud platforms, including AWS and Azure. With over 500+ products developed and 40M deployments in 140 countries, eInfochips continues to fuel technological innovations in multiple verticals.
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NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍Location: Bengaluru, India (Hybrid / On-Site)

🏢Sector: Technology, Information & Media

👥Company Size: 500 – 1,000 Employees

💼Employment: Full-Time, Permanent

🎯Experience: 6 – 9 Years (Backend Engineering)

🚀 Level: Tech Lead


ABOUT THIS MANDATE

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.


THE OPPORTUNITY AT A GLANCE

🏗️ Architecture Ownership

Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.

🤖 AI-Augmented Engineering

Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.

🎓 Engineering Leadership

Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.


KEY RESPONSIBILITIES


1. Architecture & Platform Modernisation

  • Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
  • Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
  • Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
  • Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
  • Establish backend design standards, coding guidelines, and architectural review processes


2. Distributed Systems Engineering (Production-Grade)

  • Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
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  • Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
  • Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
  • Apply Saga orchestration and choreography patterns for distributed transaction integrity
  • Execute zero-downtime deployments and canary release strategies with rollback capability
  • Design and enforce multi-region disaster recovery and business continuity protocols


3. AI-Driven Engineering Practices

  • Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
  • Apply prompt engineering techniques for automated code generation, review, and documentation workflows
  • Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
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4. Engineering Leadership & Culture

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  • Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
  • Drive and lead technical hiring — from designing assessments to final hire decisions
  • Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
  • Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
  • Foster a culture of technical excellence, psychological safety, and high-velocity delivery


TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)

Languages: Java (primary) · Go · Python · Node.js · PHP · Rust

Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)

Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)

Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch

Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub

Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack

CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible

AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor


QUALIFICATIONS & CANDIDATE PROFILE


Education

  • B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution — CS, IS, ECE, AI/ML streams strongly preferred
  • Exceptional real-world engineering track record may be considered in lieu of institution pedigree


Experience

  • 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
  • Proven track record of shipping and scaling production SaaS / Product systems at significant user load
  • Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
  • Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
  • Demonstrated career stability — minimum 2 years average tenure per organisation
  • The Ideal Candidate Exemplifies
  • System-level thinking with an ability to hold context across code, architecture, product, and business
  • An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
  • Strong written and verbal communication skills for asynchronous, cross-functional collaboration
  • Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
  • Bias for automation, observability, and engineering efficiency at every level
  • A mentor's instinct — genuine desire to grow others and raise the capability of the team around them


WHY THIS ROLE STANDS APART

✅ Transformational Scope

Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

✅ AI-Forward Engineering Culture

Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

✅ Established, Stable Platform

Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

✅ Career-Defining Leadership

Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.


HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.


Recruiting Bond | Bengaluru, Karnataka, India | 2026

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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