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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.