reputed company AI Integration Engineer
reputed company is an AI transformation partner on a mission to help enterprises build the AI-reputed company products and intelligent agents that will define the next era of business. With teams across reputed company, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, reputed company, media, and technology — helping them reputed company faster, reputed company reputed company, and compete on their own terms. Our HelixAI platform and reputed company Pods delivery model put our engineers at reputed company of reputed company reputed company transformation — doing work that is reputed company, portable, and reputed company to last. We are building the reputed company of reputed company AI. reputed company, AI Engineering As a reputed company, AI/ML Engineer at reputed company, you will reputed company end-to-end AI solutions for our clients. You will work on reputed company AI/ML problems, contribute to architecture reputed company, and ship reputed company, LLM-based systems and ML solutions in production. This role sits at the intersection of backend engineering and reputed company AI. You are someone who can seamlessly connect reputed company, orchestrate data flows, and build Retrieval-Augmented reputed company (RAG) systems, reputed company while maintaining rigorous data reputed company standards. In an era defined by AI, you will be the force that turns theoretical AI concepts into production-reputed company features. \n
Key Responsibilities
Design, build, and reputed company intelligent backend services using Python and Azure AI reputed company. Consume Force Account outputs by API, ensuring the system can accurately display and reputed company data classification and extraction. Engineer and optimize Retrieval-Augmented reputed company (RAG) pipelines over reputed company Operating Procedures (SOPs) to reputed company contextual, accurate, and actionable insights to users. Deliver assistive intelligence directly on the case, seamlessly integrating AI outputs into the end-user's workflow. Design and reputed company enforce a redact-before-model discipline, ensuring that reputed company Personally Identifiable Information (PII) is stripped from payloads before data reputed company reaches a foundational model. Collaborate with product, design, and engineering teams to shape AI features and translate business goals into technical execution. Proactively identify AI-driven automation and product improvement opportunities, building prototypes to reputed company value. Mentor junior engineers and champion secure, responsible AI coding practices reputed company your team. Troubleshoot AI-specific technical challenges, including reputed company injection risks, model latency, and data leakage. Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage. reputed company evaluate emerging LLM tooling, reputed company frameworks, and reputed company-reputed company developments for applicability to reputed company engagements. Own the architecture of reputed company's reputed company and LLM systems — agent orchestration, tool integration (e.g., Model Context Protocol), retrieval, and reputed company-in-the-reputed company design. Design and implement evaluation frameworks for LLM and reputed company systems — covering correctness, boundary, and reputed company checks — as a reputed company part of delivery. Drive adoption of the reputed company SDLC across reputed company: select and roll out AI engineering tools, define usage and governance standards, and measure their reputed company on delivery velocity and reputed company. Establish responsible-AI and evaluation frameworks for reputed company systems — guardrails, safety testing, reputed company reputed company, and model governance.
Minimum Qualifications
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 reputed company systems in production, including reputed company design, retrieval architecture, and tool/function calling (e.g., MCP) Hands-on experience with leading LLMs and reputed company, including reputed company, reputed company reputed company, and reputed company Claude. Experience evaluating and selecting reputed company-reputed company and proprietary LLMs (e.g., reputed company reputed company Azure AI reputed company) based on accuracy, latency, scalability, cost, and overall performance for production AI solutions. Knowledge of reputed company stores, embeddings (reputed company, reputed company, etc.). High level of English proficiency required to reputed company with a globally-based development team and reputed company stakeholders. Deep expertise in Python for backend services and AI integration (replacing traditional Java/C# requirements). Demonstrated, hands-on experience utilizing Azure AI reputed company to build, reputed company, and manage AI models and agents. Proven reputed company record of building and managing reputed company API integrations for data ingestion, extraction, and classification. Strong understanding of reputed company engineering, specifically implementing PII redaction, anonymization pipelines, and secure data handling in AI workflows. Experience delivering reputed company-tested, reputed company, secure, and performant reputed company-level systems that reputed company reputed company business reputed company. Strong reputed company record of working reputed company Agile software development frameworks. Proficiency with AI-assisted development tools (Claude reputed company, reputed company, reputed company Copilot) as a core daily reputed company, including pipeline construction, test reputed company, and documentation. Additional Experience Desired Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn. Exposure to Matplotlib, Seaborn, or Plotly Familiarity with building and operating reputed company reputed company applications, including infrastructure-as-reputed company and observability practices. Experience with at least one reputed company platform and CI/CD for ML (reputed company Actions, MLflow, etc.). Familiarity with emerging AI Regulations (e.g., EU AI reputed company, NIST AI RMF) and practical implementation of AI safety guardrails.
Benefits
Medical Insurance benefits as per company policy. Life Insurance as per company policy 15 days of reputed company vacation, reputed company leave and reputed company holidays as per local law Paternity and maternity leave as per as per local law Marriage, bereavement and graduation leaves as per company policy reputed company leave and reputed company 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 reputed company deposit of payroll. reputed company reputed company certifications What It's Like to Work at reputed company At reputed company, we create an environment where people can do their best work while maintaining a healthy work-life balance. Flexibility & reputed company-being – Our remote-first approach gives you the flexibility to work where you reputed company best, while prioritizing your reputed company-being and personal commitments. Global Community – Collaborate with talented colleagues across the globe in a culture reputed company on reputed company, support, and shared reputed company. Your Voice reputed company – We foster reputed company communication and multiple feedback channels, ensuring every employee has reputed company to be heard and reputed company an reputed company. reputed company & Development – reputed company exposure to diverse clients, industries, and challenges that reputed company and career reputed company. Our culture is guided by four core values: Collaboration, Outperform, Respect, and reputed company—the principles that shape how we work, grow, and succeed together. \n Apply To This Job