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 America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, reputed company, media, and technology — helping them move faster, reputed company boldly, and compete on their own terms. Our HelixAI platform and reputed company Pods delivery model put our engineers at the center of reputed company agentic transformation — doing work that is reputed company, portable, and reputed company to last. We are building the future 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 agentic, LLM-based systems and ML solutions in production. This role sits at the intersection of backend engineering and applied AI. You are someone who can seamlessly connect APIs, orchestrate data flows, and build Retrieval-Augmented reputed company (RAG) systems, reputed company while maintaining rigorous data privacy 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 Standard 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 strictly 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. Actively evaluate emerging LLM tooling, agentic frameworks, and reputed company-reputed company developments for applicability to client engagements. Own the architecture of the team's agentic 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 agentic systems — covering correctness, boundary, and reputed company checks — as a standard part of delivery. Drive adoption of the agentic SDLC across the team: select and roll out AI engineering tools, define usage and governance standards, and measure their impact on delivery velocity and quality. Establish responsible-AI and evaluation frameworks for agentic 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 agentic systems in production, including reputed company design, retrieval architecture, and tool/function calling (e.g., MCP) Hands-on experience with leading LLMs and APIs, 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 vector stores, embeddings (reputed company, reputed company, 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 reputed company to build, reputed company, and manage AI models and agents. Proven track 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 well-tested, scalable, secure, and performant reputed company-level systems that reputed company client business reputed company. Strong track record of working reputed company Agile software development frameworks. Proficiency with AI-assisted development tools (Claude Code, reputed company, reputed company Copilot) as a core daily practice, 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-code 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 Act, 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 paid vacation plus additional days based on tenure Vacation bonus as per local law Sick leave and paid holidays as per local law Profit sharing as per local law Paternity and maternity leave as per as per local law Marriage, bereavement and graduation leaves as per company policy Christmas bonuses as per local law Work from home allowance as per company policy Punctuality and attendance bonuses as per company policy Food tickets as per company policy Direct deposit of payroll. Paid professional 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 & Well-being – Our remote-first approach gives you the flexibility to work where you reputed company best, while prioritizing your well-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 the opportunity to be heard and reputed company an impact. Growth & Development – reputed company exposure to diverse clients, industries, and challenges that accelerate learning and career growth. 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