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Salary
≈ $23k – $50k per year (Estimated)
Location
In office (Delhi)
Seniority
Staff · 7+ years exp

First seen by Alion on Sep 28, 2026.

Overview
Company
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Profile match
Mobiloitte is an enterprise AI development company for generative AI, RAG chatbots, AI agents, mobile and web apps, blockchain, cloud and DevOps.

Technical Lead / Technical Manager - Full Stack & AI Engineering

Location: Okhla Phase-I, New Delhi | Work From Office

Experience: 7+ Years

Employment Type: Full-Time

About the Role:

Mobiloitte Technologies is looking for a Technical Lead / Technical Manager - Full Stack & AI Engineering to lead the development of scalable, AI-powered enterprise applications.

The ideal candidate should have strong Full Stack engineering expertise along with hands-on experience in Artificial Intelligence, Conversational AI, Voicebots, Chatbots, Generative AI, LLMs, RAG, and AI Agents.

This is a hands-on technical leadership role involving architecture, development, team mentoring, technical decision-making, client interaction, and delivery ownership.

Key Responsibilities:

- Lead and mentor Full Stack and AI engineering teams across multiple projects.

- Design scalable, secure, and high-performance architectures for enterprise and AI-powered applications.

- Lead the development of Conversational AI solutions, Voicebots, Chatbots, AI Assistants, and intelligent automation systems.

- Design and integrate Voice AI capabilities into enterprise applications and business workflows.

- Work hands-on with LLMs, Generative AI, RAG, Prompt Engineering, AI Agents, and AI orchestration.

- Lead end-to-end development across frontend, backend, APIs, databases, AI services, and cloud platforms.

- Participate in technical architecture, coding, code reviews, debugging, solution design, and technology evaluations.

- Integrate AI and voice capabilities with APIs, CRM systems, enterprise applications, databases, and third-party platforms.

- Collaborate with Product, Business, and Client teams to translate requirements into scalable technical solutions.

- Establish engineering standards, development practices, and technical governance.

- Mentor engineers and ensure high-quality and timely delivery.

- Participate in client-facing technical discussions, solution design, and architecture presentations.

- Evaluate emerging AI technologies and recommend their adoption for product development.

Required Skills & Qualifications:

AI Solutions:

- Understanding of voice-based conversational workflows, including Speech-to-Text (STT), Text-to-Speech (TTS), LLM integration, and conversation management.

- Experience integrating Voice AI and conversational systems with APIs, enterprise applications, CRMs, databases, and business workflows.

- Hands-on experience with frameworks/tools such as LangChain, LangGraph, MCP, or similar.

- Ability to design scalable, reliable, secure, and production-ready AI solutions.

Full Stack Engineering:

- 7+ years of experience in software development with strong technical leadership experience.

- Strong hands-on experience with one or more backend technologies such as Python, Node.js, Java, .NET, or similar.

- Experience with modern frontend technologies such as React, Angular, Vue.js, or similar.

- Strong understanding of REST APIs, Microservices, Authentication, API integrations, and distributed systems.

- Experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or similar.

- Experience with AWS, Azure, GCP, or other cloud platforms.

- Good understanding of Docker, Kubernetes, Git, CI/CD, and DevOps practices.

- Hands-on experience building and deploying AI-powered applications using Generative AI.

- Strong understanding of LLMs, Prompt Engineering, RAG, AI Agents, and AI application architecture.

- Practical experience developing Conversational AI, Voicebots, Chatbots, AI Assistants, or Voice AI.

Preferred Skills:

- Experience with Voice AI / Voicebot platforms and conversational AI ecosystems.

- Experience with Agentic AI / Autonomous AI workflows.

- Exposure to frameworks such as CrewAI, AutoGen, Semantic Kernel, or similar.

- Experience with Vector Databases such as Pinecone, Weaviate, Milvus, ChromaDB, or similar.

- Experience with AI orchestration, tool calling, function calling, and multi-agent workflows.

- Experience integrating AI solutions with CRM, ERP, contact-center, communication, or enterprise platforms.

- Experience working with international clients and leading technical discussions.

- Strong stakeholder management, communication, mentoring, and team leadership skills.

What We're Looking For:

- We are looking for a technical leader who can combine strong software engineering fundamentals with practical AI expertise.

- The ideal candidate should be capable of understanding business requirements, designing the right architecture, guiding engineering teams, and contributing hands-on to the development of AI-powered, conversational, and voice-based enterprise solutions.

- Candidates with strong experience in Voicebots, Conversational AI, Chatbots, AI Assistants, Generative AI, or Agentic AI will be preferred.

Skills

Generative AI, Conversational AI, LLM, Full Stack, Python, LangChain, RAG, Node.js, Prompt Engineering, Artificial Intelligence, React.js

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