Engineering Manager (AI)

DigiRecruitx • Artificial Intelligence • Recruiting & Staffing • Python • JavaScript • Java • TypeScript • Node JS • 5 months ago

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Salary

≈ $29k – $76k per year (Estimated)

Location

In office (Pune)

Seniority

Staff · 10+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on May 12, 2026.

Overview

Company

Impact

Profile match

DigiRecruitx

DigiRecruitx is a talent acquisition and staffing agency that provides comprehensive hiring solutions to help organizations build high-performing teams. The company delivers a diverse suite of recruitment services, including permanent staffing, executive search, remote talent acquisition, and recruitment process outsourcing across industries such as technology, finance, and manufacturing. Headquartered in Surat, Gujarat, India, the firm combines modern sourcing techniques with practical candidate screening to connect employers with top-tier professionals globally.

digirecruitx.com • HQ: Surat, India • Professional Services • Recruiting & Staffing

Tech stack of DigiRecruitx

Overview We are seeking a hands-on Engineering Manager to lead our engineering team. You will drive the architecture, design, and development of high-performance, cloud-native platforms, focusing on LLM-powered enterprise products and distributed systems.

Key Responsibilities

Lead and mentor a team of engineers while remaining active in hands-on architecture and system design.
Drive the development of Agentic AI systems, RAG-based solutions, and LLM integrations.
Build scalable microservices, data pipelines, and high-availability distributed systems.
Oversee the full SDLC using Agile processes, ensuring code quality, testing, and observability.
Partner with product and business teams to translate requirements into technical solutions.

Required Skills and Qualifications

10 to 14 years in software development with 3+ years in technical leadership roles.
Proven experience with LangChain, LLaMA, RAG pipelines, and Agentic AI systems.
Hands-on proficiency in Java, Node.js, React.js, TypeScript, and Python.
Expertise in PySpark, Big Data (Hadoop), PostgreSQL, and MySQL optimization.
Solid experience with Docker, Kubernetes, Kafka, Redis, and cloud platforms like AWS or GCP.
Expert-level use of AI-assisted development tools such as Cursor and ChatGPT.

Preferred Attributes

Experience scaling AI-driven SaaS platforms.
Strong background in system reliability and real-time AI/ML integration.
Excellent stakeholder management and presentation skills.

CTC : (Based on Experience)

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