Senior AI Software Engineer / Agentic AI Developer

TelioQuantAI; Gurugram District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

TelioQuantAI is seeking a Senior AI Software Engineer to design, build, and deploy advanced AI-driven applications and autonomous agent systems. You will lead multi-agent workflows and enterprise-grade AI solutions, from R&D to production, with a focus on performance, security, and governance.

You will collaborate with product and architecture teams to define use cases, implement robust ML pipelines, and ensure scalable cloud-native deployments across AWS/Azure/GCP.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 5+ years of software engineering experience with at least 2+ years focused on AI/LLM application development.
• Proven experience delivering enterprise-scale AI applications or intelligent automation solutions.
• Strong analytical, problem-solving, and system design skills.
• Excellent communication and collaboration abilities.
• Experience working in Agile/Scrum environments is preferred.

Responsibilities

• Design and develop Agentic AI systems, autonomous workflows, and AI-powered enterprise applications.
• Build and integrate Large Language Model (LLM) applications using LangChain, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
• Develop AI agents capable of reasoning, planning, task execution, and multi-agent collaboration.
• Create scalable backend architectures and APIs for AI services and integrations.
• Implement RAG, vector databases, prompt engineering, and memory management techniques.
• Integrate AI solutions with enterprise platforms, cloud services, databases, and third-party APIs.
• Optimize AI model performance, latency, scalability, and operational reliability.
• Develop and maintain MLOps and AIOps pipelines for deployment, monitoring, governance, and continuous improvement.
• Collaborate with product managers, architects, and business stakeholders to define AI use cases and technical strategies.
• Ensure AI security, compliance, governance, and ethical AI best practices.
• Conduct code reviews, mentor junior developers, and contribute to engineering standards and best practices.
• Stay updated with emerging AI technologies, frameworks, and industry trends.

Skills

Python programming

LLMs

AI orchestration

Autonomous AI systems

REST APIs

Cloud platforms

Docker

Kubernetes

MLOps

Vector databases

Education

Bachelor’s or Master’s in CS/AI/DS

Tools

LangChain

CrewAI

AutoGen

Semantic Kernel

Haystack

PyTorch

TensorFlow

Scikit-learn

PostgreSQL

Elasticsearch

Job description

Job Description

We are seeking a highly skilled and innovative Senior AI Software Engineer / Agentic AI Developer to design, develop, and deploy advanced AI-driven applications and autonomous agent systems. The ideal candidate will have strong expertise in Large Language Models (LLMs), AI orchestration frameworks, machine learning, cloud-native architectures, and intelligent automation platforms.

In this role, you will work closely with cross-functional teams to build scalable AI solutions, multi-agent workflows, conversational AI systems, and enterprise-grade AI applications that enhance operational efficiency and business outcomes. You will contribute to the complete AI product lifecycle, from research and prototyping to deployment, monitoring, and optimization.

Key Responsibilities

• Design and develop Agentic AI systems, autonomous workflows, and AI-powered enterprise applications.
• Build and integrate Large Language Model (LLM) applications using frameworks such as LangChain, CrewAI, AutoGen, Semantic Kernel, or similar technologies.
• Develop AI agents capable of reasoning, planning, task execution, and multi-agent collaboration.
• Create scalable backend architectures and APIs for AI services and integrations.
• Implement Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and memory management techniques.
• Integrate AI solutions with enterprise platforms, cloud services, databases, and third‑party APIs.
• Optimize AI model performance, latency, scalability, and operational reliability.
• Develop and maintain MLOps and AIOps pipelines for deployment, monitoring, governance, and continuous improvement.
• Collaborate with product managers, architects, and business stakeholders to define AI use cases and technical strategies.
• Ensure AI security, compliance, governance, and ethical AI best practices.
• Conduct code reviews, mentor junior developers, and contribute to engineering standards and best practices.
• Stay updated with emerging AI technologies, frameworks, and industry trends.

Required Skills and Qualifications

Technical Skills

• Strong experience in Python programming and modern software engineering practices.
• Hands‑on experience with LLMs such as GPT, Claude, Gemini, Llama, or open‑source foundation models.
• Experience building Agentic AI or autonomous AI systems.
• Proficiency with AI orchestration frameworks:
• LangChain
• CrewAI
• AutoGen
• Semantic Kernel
• Haystack or similar
• Strong understanding of:
• Prompt Engineering
• RAG Architecture
• Vector Databases
• Embedding Models
• Fine‑tuning Techniques
• AI Memory Management
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Knowledge of Machine Learning and Deep Learning frameworks:
• PyTorch
• TensorFlow
• Scikit‑learn
• Experience with REST APIs, microservices, and cloud‑native architectures.
• Hands‑on experience with cloud platforms:
• AWS
• Azure
• Google Cloud
• Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
• Familiarity with MLOps tools and AI deployment pipelines.
• Knowledge of databases:
• PostgreSQL
• MongoDB
• Redis
• Elasticsearch
• Understanding of AI governance, model security, observability, and responsible AI practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 5+ years of software engineering experience with at least 2+ years focused on AI/LLM application development.
• Proven experience delivering enterprise‑scale AI applications or intelligent automation solutions.
• Strong analytical, problem‑solving, and system design skills.
• Excellent communication and collaboration abilities.
• Experience working in Agile/Scrum environments is preferred.

Preferred Qualifications

• Experience with Telecom AI, enterprise automation, or digital transformation projects.
• Knowledge of AI observability and evaluation frameworks.
• Experience with multimodal AI systems (text, image, voice, video).
• Familiarity with AI agents for workflow automation, RCA automation, or IT operations.

Contributions to open‑source AI projects or research publications are a plus.