Full Stack Engineer (Enterprise AI Platforms)

Full Stack Engineer (Enterprise AI Platforms)

1 Nos.
131812
Full Time
4.0 Year(s) To 8.0 Year(s)
12.00 LPA TO 25.00 LPA
IT Software - Mainframe
IT-Hardware/Networking
Job Description:

Job Description: We are looking for a strong Full Stack Engineer who has built production-grade enterprise applications, worked with large datasets, and is excited about integrating AI systems and LLM-powered workflows into real-world platforms. This is not a UI-only or API-only role. You’ll own end-to-end system design, from frontend experiences to backend orchestration and AI integration. What You’ll Work On • Enterprise web platforms used by analysts, admins, and leadership • High-scale data-intensive applications (query orchestration, risk intelligence, estimation engines) • AI-augmented workflows (LLMs, agents, optimizers, explainability layers) • Secure, governed, multi-tenant systems with role-based access Key Responsibilities Full Stack Development • Design and build scalable web applications (frontend + backend) • Develop API-first backend services for enterprise workflows • Build admin dashboards, analyst workflows, and decision-ready UIs • Ensure performance, reliability, and maintainability at scale Backend & Data Systems Job Description Document No: AMP_HR_F_004 Rev No: 1.0 Rev Date: 02-Dec-2024 Internal Page 2 of 4 • Work with large-scale relational databases (Azure Synapse, Redshift, Snowflake, PostgreSQL, SQL Server, etc.) • Design data models for high-volume, analytical workloads • Implement caching, orchestration, background processing, and async workflows • Integrate with enterprise systems (identity, BI tools, data platforms) AI / LLM Integration • Integrate LLMs (OpenAI, Azure OpenAI, etc.) into production systems • Build AI-powered services: o Query optimization o Risk scoring & explainability o Estimation & prediction workflows • Implement agentic AI patterns (multi-step reasoning, tool-using agents, orchestration) • Work closely with ML engineers to productionize AI models Enterprise Readiness • Implement RBAC, audit logging, governance, and guardrails • Design systems with security, compliance, and observability in mind • Contribute to CI/CD pipelines, deployments, and production monitoring Required Skills & Experience Core Engineering • 4–8+ years of experience as a Full Stack Engineer • Strong backend experience with Python (FastAPI preferred) or equivalent • Solid frontend experience with React / modern JS frameworks • Strong understanding of REST APIs, async processing, microservices Data & Systems • Hands-on experience with large databases and complex schemas • Strong SQL skills and experience optimizing queries

Key Skills :
Company Profile

--- ---, a purpose driven Digital IT Services with primary focus on supporting
our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that
equal opportunities are provided to Persons with Disabilities Talent. --- --- has
its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai,
India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer
exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2)
Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and
implement evolving ---, 4) Comprehensive healthcare, and 5) Conducive
environment for Persons with Disability Talent meeting Physical and Digital Accessibility
standards

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