Senior Software Engineer

Overview

Develop scalable, secure, reliable, and maintainable software solutions that use agentic AI systems, large language models, cloud-native architectures, and ML-enabled capabilities. Collaborate with product teams, data scientists, ML engineers, platform teams, and business stakeholders to deliver AI-enabled software solutions.

What you'll do

• Design, configure, and build agentic AI systems that reason, plan, use tools, execute workflows, and interact with enterprise systems.
• Develop scalable software applications and services using modern cloud-native architectures.
• Integrate large language models, APIs, databases, vector stores, and orchestration frameworks into production-ready applications.
• Build and maintain AI-enabled workflows using agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or similar technologies.
• Implement retrieval-augmented generation patterns, including document ingestion, chunking, embedding generation, vector search, reranking, and response generation.
• Partner with data science and ML teams to operationalize machine learning models and AI capabilities into software products.
• Apply MLOps practices for model deployment, monitoring, versioning, evaluation, governance, and continuous improvement.
• Develop reusable components, APIs, services, and integration patterns to accelerate AI solution delivery.
• Define and implement robust cloud architectures, preferably on AWS, using serverless, containerized, or microservices-based approaches.
• Implement observability, logging, monitoring, error handling, and performance optimization for AI and ML-enabled applications.
• Evaluate and improve agent performance, including prompt quality, tool selection, response accuracy, latency, cost, and reliability.

What you'll need

• Master’s degree and 3+ years of software development experience, or Bachelor’s degree and 5+ years of software development experience.
• Strong hands-on software engineering experience with Python, JavaScript/TypeScript, SQL/NoSQL, APIs, and cloud-native application development.
• Experience building or integrating applications with generative AI, LLMs, agentic workflows, RAG patterns, or AI orchestration frameworks.
• Working knowledge of ML lifecycle concepts, including model deployment, evaluation, monitoring, versioning, and automation.
• Experience with CI/CD, testing, containerization, observability, and production-grade software delivery.
• Strong problem-solving, communication, collaboration, and technical ownership skills.
• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills.
• Ability to work effectively with global, virtual teams.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals.
• Strong presentation and public speaking skills.

Nice to have

• Bachelor’s degree in computer science and engineering preferred; another Engineering field is considered.
• Cloud Computing certificate preferred.
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar agent frameworks.
• Experience with vector databases, embeddings, semantic search, reranking, prompt engineering, fine-tuning, or LLM evaluation.
• Experience with MLOps tools such as MLflow, SageMaker, Databricks, Kubeflow, Airflow, or similar platforms.
• Familiarity with serverless, microservices, event-driven architecture, Kubernetes, or managed cloud AI/ML services.
• Knowledge of responsible AI, model governance, human-in-the-loop workflows, security, privacy, and regulated environments.

Details

• Location: Hyderabad, India.