Req number R6259 Employment type Full time Worksite flexibility Hybrid Who we are CAI is a global technology services firm with over 8 500 associates worldwide and a yearly revenue of 1 billion We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities As a privately held company we have the freedom and focus to do what is right whatever it takes Our tailor-made solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise Job Summary If you thrive in environments where AI means building robust maintainable systems not just notebooks and you ve shipped AI features in production using AWS Azure this role is for you We are looking for an AI Software Developer to design build and maintain cloud-native backend services infrastructure and APIs that power AI features This position will be full-time and hybrid What You ll Do Software Engineering Cloud Infrastructure Primary Focus Design build and optimize cloud-native backend services Python Node js for AI applications on AWS or Azure e g serverless containers managed services Develop infrastructure as code IaC using Terraform CloudFormation or ARM templates to automate cloud deployments Implement CI CD pipelines for AI model deployment application updates and automated testing e g GitHub Actions Azure DevOps Build scalable APIs microservices FastAPI gRPC to serve AI features e g LLM inference agent workflows with security latency and cost efficiency Ensure reliability and observability via monitoring Prometheus CloudWatch logging and alerting for AI systems AI Integration Productionization Secondary Focus Integrate generative AI and agentic systems e g LangChain CrewAI AutoGen into full-stack applications not just prototyping but productionizing workflows Design RAG pipelines with vector databases e g Azure Cognitive Search AWS OpenSearch and optimize for latency cost Fine-tune LLMs using LoRA PEFT or leverage cloud AI services e g AWS Bedrock Azure OpenAI for custom use cases Build data pipelines for AI training inference ingestion preprocessing synthetic data with cloud tools e g AWS Glue Azure Data Factory Collaborate with ML engineers to deploy models via TorchServe Triton or cloud-managed services e g SageMaker Endpoints Azure ML Endpoints Collaboration Ownership Work cross-functionally with product frontend and data teams to translate business needs into scalable AI solutions Champion software best practices testing unit integration code reviews documentation and modular design Mentor junior engineers on cloud engineering and AI system design What You ll Need Required 3-4 years of professional software development experience with strong fundamentals Proficiency in Python required and modern frameworks FastAPI Flask Django Experience building cloud-native backend systems AWS or Azure with services like Compute EC2 Lambda Azure Functions VMs Storage S3 Blob Storage Databases RDS Cosmos DB DynamoDB API gateways API Gateway Azure API Management Hands-on experience with containerization Docker and orchestration Kubernetes Proven track record in CI CD pipelines infrastructure-as-code Terraform CloudFormation and monitoring tools 1-2 years of hands-on experience in AI application development specifically Building generative AI or agentic workflows e g using LangChain CrewAI AutoGen Implementing RAG pipelines or fine-tuning LLMs in production e g via AWS Bedrock Azure OpenAI or open-source models Experience with cloud AI services SageMaker Azure ML or deploying open-source models on cloud infrastructure Strong software engineering discipline Writing testable maintainable code with unit integration tests Experience with Git workflows agile development and team-oriented code reviews Understanding of system design scalability security cost optimization Bachelor s or Master s in Computer Science Software Engineering or related field SPACE Preferred Experience with full-stack development frontend frameworks like React Vue for AI-powered UIs Knowledge of serverless architectures AWS Lambda Azure Functions for AI workloads Familiarity with MLOps tools MLflow Kubeflow or cloud-native MLOps SageMaker Pipelines Azure ML Pipelines Prior work on cost-optimized AI systems e g model quantization autoscaling spot instances Contributions to open-source AI ML projects or cloud infrastructure tooling Physical Demands Ability to safely and successfully perform the essential job functions Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings etc Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to application accommodations cai io or (phone hidden)

📌 Ai Software Developer (India)
🏢 CAI (Computer Aid
📍 India