Lead AI Integration Engineer

Role Overview As a Lead, AI/ML Engineer at 3Pillar, you will lead end-to-end AI solutions for our clients. You will work on complex AI/ML problems, contribute to architecture decisions, and ship agentic, LLM-based systems and ML solutions in production. What You Will Do Design, build, and deploy intelligent backend services using Python and Azure AI Foundry. Consume Force Account outputs by API, ensuring the system can accurately display and act on data classification and extraction. Engineer and optimize Retrieval-Augmented Generation (RAG) pipelines over Standard Operating Procedures (SOPs) to provide contextual, accurate, and actionable insights to users. Why It Might Be a Fit You will be the force that turns theoretical AI concepts into production-ready features. You will collaborate with product, design, and engineering teams to shape AI features and translate business goals into technical execution. Requirements A minimum of 8+ years of experience in software engineering, with at least 2+ years of hands-on experience integrating LLMs and building AI-driven applications. Demonstrated experience architecting and deploying LLM-based or agentic systems in production, including prompt design, retrieval architecture, and tool/function calling (e.g., MCP) Hands-on experience with leading LLMs and APIs, including OpenAI, Google Gemini, and Anthropic Claude. Experience evaluating and selecting open-source and proprietary LLMs (e.g., OpenAI via Azure AI Foundry) based on accuracy, latency, scalability, cost, and overall performance for production AI solutions. Knowledge of vector stores, embeddings (LangChain, LlamaIndex, etc.). High level of English proficiency required to interact with a globally-based development team and client stakeholders. Deep expertise in Python for backend services and AI integration (replacing traditional Java/C# requirements). Demonstrated, hands-on experience utilizing Azure AI Foundry to build, deploy, and manage AI models and agents. Proven track record of building and managing complex API integrations for data ingestion, extraction, and classification. Strong understanding of security engineering, specifically implementing PII redaction, anonymization pipelines, and secure data handling in AI workflows. Experience delivering well-tested, scalable, secure, and performant enterprise-level systems that achieve client business outcomes. Strong track record of working within Agile software development frameworks. Proficiency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) as a core daily practice, including pipeline construction, test generation, and documentation. Benefits Medical Insurance benefits as per company policy. Life Insurance as per company policy 15 days of paid vacation, sick leave and paid holidays as per local law Paternity and maternity leave as per as per local law Marriage, bereavement and graduation leaves as per company policy Sick leave and paid holidays as per local law Christmas and Middle year bonuses as per local law Monthly productivity bonus as per local law Discounts in local shops Direct deposit of payroll. Paid professional certifications Originally posted on Himalayas