Manager, Software Engineering

Insentapp; Chennai; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Insentapp is seeking a Manager, Software Engineering to lead a cross‑geography team focused on GenAI and agentic AI. You will own the AI solution lifecycle from ideation to deployment and ongoing support, guiding engineers and collaborating with executives on high‑impact AI initiatives.

The role requires deep backend expertise, strong leadership, and a track record of delivering production GenAI systems at scale in enterprise settings.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering or equivalent.
• 10+ years of software engineering experience with hands-on backend development.
• Production GenAI experience: deployed agentic AI systems and GenAI apps.
• Strong SDLC knowledge: design, coding standards, testing, CI/CD and deployment.
• Excellent communication skills to explain concepts to executives and stakeholders.

Responsibilities

• Lead and mentor engineers, providing technical direction and reviews.
• Architect AI solutions that transform enterprise business processes across Marketing, Sales, Finance and HR.
• Build and deploy multi-agent workflows, RAG pipelines, and tool calling in production.
• Integrate AI solutions with external systems via REST APIs and MCP.
• Drive measurable business impact and ROI through AI initiatives.

Skills

GenAI & agentic AI

People management

ML/DL fundamentals

LLMs & Transformers

Backend programming

Executive communication

Education

Bachelor's or Master's in CS/SE

Tools

Python

Java

JavaScript/TypeScript

C++

Job description

Job Summary

• Enterprise Apps AI Center of Excellence (CoE) is a team that operates with the agility of a startup to generate substantial value for Enterprise organizations (Marketing, Sales, Finance and HR) through Artificial Intelligence
• Going beyond simple efficiency improvements, we focus on building innovative AI solutions that unlock new capabilities and insights for the Enterprise Applications organization. Our mission is to transform business processes, enhance strategic decision-making, and drive significant value using advanced AI applications. The ultimate goal is to empower the enterprise business applications users with cutting-edge AI, enabling more strategic and effective operations.
• As the Manager, Software Engineering, you will lead our team in conceptualizing, developing, and deploying impactful AI/ML solutions that revolutionize enterprise business processes. You will be accountable for the entire AI solution lifecycle - from ideation and requirements gathering to development, implementation, and ongoing support. This role involves supporting technically a geographically diverse team located in the US and India and managing the team.

Responsibilities

• Hands-on People Manager: Working hands-on on GenAI and agentic AI (LLM agents, tools, MCP, RAG, evaluation frameworks), ML/Deep Learning along with managing and mentoring the team.
• Architect AI solutions: Design AI applications, agentic systems, and software platforms that transform business processes across Enterprise Applications (Marketing, Sales, Finance and HR)
• Build and deploy agentic systems in production: Design, code, and ship multi-agent workflows, RAG pipelines, tool calling, and AI-powered automation using modern GenAI frameworks, working with frontier models (GPT, Claude, Gemini).
• Integrate AI into enterprise systems: Connect AI solutions to external systems using REST APIs, MCP (Model Context Protocol), and tools.
• Set quality and safety standards: Build LLM evaluation frameworks, observability, and guardrails, and apply responsible AI and security practices.
• Turn messy data into AI-ready data: Work with large-scale, unstructured, and messy data (documents, PDFs, emails, tickets, spreadsheets, logs), including data cleaning, parsing, chunking, and building reliable data pipelines to feed GenAI and RAG systems.
• Deliver business impact: Partner with business leaders to identify high-value AI use cases, make build-vs-buy decisions, measure ROI, and present proposals and results to executives.
• Lead AI research and initiatives: Proactively research AI/ML advancements and industry trends, and lead AI/ML and data initiatives to identify business opportunities and critical use cases, delivering end-to-end AI solutions for enterprise applications.
• Educate and enable: Able to educate engineers and business stakeholders on GenAI concepts, capabilities, and limitations, through technical sessions, documentation, and hands‑on enablement.
• Mentor engineers: Coach junior and mid-level engineers through code reviews, design reviews, and pairing, supporting their career growth and ownership of projects end to end.

Requirements

• Bachelors or Masters degree in Computer Science, Software Engineering, or an equivalent quantitative field (or equivalent experience).
• Strong engineering fundamentals with hands‑on depth in at least one backend language (Python, Java, JavaScript/TypeScript, or C++), and 10+ years of software engineering experience.
• People Management and Mentorship with technical hands‑on experience (GenAI and agentic AI).
• Production GenAI experience: built and deployed agentic systems and GenAI applications in production, including multi‑agent workflows, RAG pipelines, tool calling, and automation, using any GenAI Framework.
• Strong expertise in LLMs, Transformers, and modern GenAI, including fine‑tuning, structured outputs, multi‑agent orchestration, and model selection across frontier models (GPT, Claude, Gemini), balancing quality, latency, and cost.
• Solid foundation in machine learning and deep learning, including neural network fundamentals, NLP, and core ML concepts.
• Proven technical leadership and mentorship: led or technically guided engineers, coached juniors, and delivered through others.
• Strong SDLC understanding: design, coding standards, testing, CI/CD, and deployment.
• Excellent communication: able to explain technical concepts to executives and present proposals clearly.