Job Description
• Agentic AI design (planning, tool usage, memory, orchestration)
• Voice and chat conversational engineering
• Distributed systems and API integration
• Performance optimization and scalability
• Data-driven iteration and system tuning
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field (or equivalent experience)
• 3+ years of software engineering experience with strong backend development skills
• Hands-on experience with large language models (LLMs) and agent-based architectures
• Experience building conversational systems for voice and/or chat interfaces
• Strong programming skills in Python, JavaScript/TypeScript, or similar
• Experience with:
o API design and integration (REST, GraphQL)
o Cloud platforms (Azure, AWS, or GCP)
o Microservices and distributed system design
• Familiarity with:
o Prompt engineering and orchestration patterns
o Vector databases (e.g., Pinecone, Redis, Azure AI Search)
o CI/CD and DevOps practices
Nice to Have Skills & Experience
• Experience transitioning from traditional IVR or chatbot systems to AI-driven agentic architectures
• Experience with speech technologies (ASR, TTS, voice streaming frameworks)
• Familiarity with agent frameworks such as Semantic Kernel, LangChain, or similar
• Experience implementing RAG pipelines and knowledge grounding
• Exposure to Salesforce ecosystem tools, including Salesforce Agentforce
• Experience designing automation for high-volume, customer-facing interactions
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.