Job Description The AI ML Engineer will join an existing development team to enhance and expand a complex, dynamic application. The role requires strong communication skills and technical expertise across the stack. You will collaborate with global teams spanning multiple time zones and actively contribute to ongoing feature development. This role will be sitting out of India and require to work from 12:00-8:00pm IST. An ideal candidate is: \- A highly skilled Senior Python engineer and LLM engineer \- Executing both planning and hands-on technical work independently. \- Collaborating effectively with Product Owners and other stakeholders to solve complex problems. \- Working cross-functionally to contribute to impactful solutions across teams \- Continuously developing your technical expertise and staying up-to-date with new technologies. \- Being passionate, intellectually curious, and driven to expand your skills and knowledge. \- Using a data-driven approach to solve technical challenges and make informed decisions. \- Applying your systems-level thinking, integrating both data science and engineering principles. \- Taking full ownership of the features and projects you work on, delivering high-quality solutions on your own. Compensation: $16.00 to $17.00 per year annual salary 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements \- Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI or Flask. \- Expertise in microservices architecture and deployment in containerized environments (e.g., Docker, Kubernetes). \- Strong knowledge in AI, machine learning, and natural language processing \- Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex) \- Experience with MCP, Model Context Protocol. \- Understanding of multi-agent systems and their applications in complex problem-solving scenarios. \- Experience with RAG concepts and fundamentals (vectorDBs, semantic search, etc.) \- Expertise in implementing RAG systems that combine knowledge bases with generative AI models. \- Experience with prompt writing for various use cases \- Experience with generative solutions released to prod, at scale, beyond POCs \- Proficiency with server-side events, event-driven architectures, and messaging systems. \- Strong problem-solving skills and experience debugging and optimizing backend systems. \- Solid understanding of security best practices for backend systems, including authentication and data protection. - Experience with LLM guardrails \- Experience with LLM monitoring and observability \- Experience developing AI/ML technologies within large and business critical applications

The role requires strong experience with Python, specifically in building REST APIs using frameworks such as FastAPI or Flask. Expertise in microservices architecture and deployment within containerized environments like Docker and Kubernetes is necessary. The position also demands strong knowledge in AI, machine learning, and natural language processing. Experience working with key LLM model APIs from providers like OpenAI and Anthropic, and LLM frameworks such as LangChain and LlamaIndex is required. Additionally, experience with MCP, Model Context Protocol, multi-agent systems, and RAG concepts including vector databases, semantic search, and implementing RAG systems with generative AI models is essential. Proficiency with server-side events, event-driven architectures, messaging systems, and LLM guardrails and monitoring is also expected.