Software Engineer

Job Summary

Build high-quality, innovative and fully performing software in compliance with coding standards and technical design. Design, modify, develop, write and implement software programming applications. Support and/or install software applications. Participate in the testing process through test review and analysis, test witnessing and certification of software.

Key Responsibilities

• Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas; following the software development lifecycle; document and demonstrate solutions; develops flow charts, layouts and documentation
• Determine feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions; understand business needs and know how to create the tools to manage them
• Prepare and install solutions by determining and designing system specifications, standards and programming
• Participate in educational opportunities; read professional publications; maintain personal networks; participate in professional organizations
• Provide information by collecting, analyzing, and summarizing development and issues while protecting IT assets by keeping information confidential
• Improve applications by conducting systems analysis recommending changes
• Define applications and their interfaces, allocate responsibilities to applications, understand solution deployment, and communicate requirements for interactions with solution context, define Nonfunctional Requirements (NFRs)
• Understands multiple architectures and how to apply architecture to solutions; understands programming and testing standards; understands industry standards for traditional and agile development

Qualifications

Required Education

• Bachelors degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related field.
• Equivalent combination of education and relevant experience may be considered.

Certifications (Preferred)

• Certifications in Cloud Platforms, AI/ML, Databricks, Azure, OpenAI technologies, or related areas are desirable.

Skills

Technical Skills

• Strong proficiency in Python programming and software development practices.
• Experience with Generative AI, Large Language Models (LLMs), and Agentic AI architectures.
• Hands-on experience with:
  • LangChain
  • LangGraph
  • AI Agents and workflow orchestration
  • Planning, memory management, tool calling, and autonomous task execution
• Strong knowledge of:
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Embeddings
  • Semantic Search
  • LLM Optimization
  • Vector Search and Vector Databases (FAISS, Chroma, Pinecone, Azure AI Search)
• Experience working with Microsoft Copilot, ChatGPT, Azure OpenAI/OpenAI, and open-source LLMs.
• Strong SQL, API development, integration, debugging, and troubleshooting skills.
• Experience with Databricks, MLflow, Model Serving, Unity Catalog, and cloud-based AI workloads.
• Knowledge of software architecture principles, application design, deployment patterns, and system integrations.
• Experience implementing observability, tracing, monitoring, logging, and performance optimization frameworks.
• Understanding of Agile, DevSecOps, CI/CD pipelines, automated testing, version control, and modern software engineering practices.

Core Competencies

• Security & Compliance Principles
• Programming Principles
• Data Principles
• Modern Development Practices
• Solution Design
• Strategic & Innovative Thinking
• Technical Passion & Drive
• Driving Effective Outcomes
• Engaging with Impact
• Ensuring Customer Success
• Demonstrating Mastery
• Values Differences and Inclusive Collaboration

Experience

Required

• 4-8 years of experience in software engineering, Python development, AI/ML, and Generative AI technologies.
• Proven experience building, deploying, and supporting production-grade software solutions.
• Demonstrated experience delivering GenAI or Agentic AI solutions from concept through deployment and operational support.
• Experience working within Agile development environments and collaborating across cross-functional teams.
• Experience following software engineering best practices, including code reviews, testing, documentation, source control, and release management.

Preferred

• Experience with enterprise AI platforms, cloud-native architectures, and AI application deployment.
• Experience implementing observability, monitoring, and evaluation frameworks for LLM-based applications.
• Early-career experience through internships, co-op programs, student employment, or equivalent project work demonstrating end-to-end software solution development.