Senior AI Software Engineer / Agentic AI Developer

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.