Senior Software Engineer

• Lead moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
• Implement, and integrate AI/ML models into business workflows
• Work with LLMs, NLP, embeddings, vector search, RAG pipelines, and prompt engineering
• Build AI POCs and convert them into production ready capabilities
• Utilize Azure AI, OpenAI, GCP, ML.NET, or Python frameworks to build intelligent services
• Define success metrics and ensure model scalability, accuracy, and performance
• Develop microservices using Java + Spring Boot
• Build Kafka driven event streaming systems and high performance APIs
• Ensure fault tolerance, performance tuning, and secure code practices
• Cloud native solutions using Azure/AWS/GCP
• Oversee CI/CD pipelines and enforce DevSecOps practices
• Implement observability using Splunk, Grafana

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• LLMs, NLP, embeddings, vector DBs, RAG pipelines
• PyTorch, TensorFlow, ML.NET, Azure AI, OpenAI APIs
• Prompt engineering and model fine-tuning
• Java 11+/17, Spring Boot
• Kafka producer/consumer patterns, schema registry
• REST APIs, microservice design principles

Knowledge on Enterprise Content Management, Classification, Extraction of data from document