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    Job · 13645626

    BENGALURU · FULLTIME

    Gen AI Full stack Architect

    Acuity Knowledge Partners logo

    Acuity Knowledge Partners

    Bengaluru · onsite · Posted 58d ago

    Sourced fromFoundit
    Not disclosed8–15 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Job Description

    Acuity Analytics (the trading name of Acuity Knowledge Partners) is a global, tech-first organization helping financial institutions and corporates make better decisions through research, data, analytics and AI-enabled solutions. We combine deep financial services expertise with strong engineering, digital and AI capabilities to solve complex, real-world problems.

    With a team of 7,200+ analysts, data specialists and technologists across 28 locations, we work with more than 800 organizations worldwide to drive efficiency, unlock insight and deliver measurable impact. Our success is built on the strength of our people—by investing in talent, encouraging collaboration and creating room to grow, we enable our teams to do their best work for clients.

    Acuity became an independent business in 2019 following its acquisition from Moody's Corporation by Equistone Partners Europe. In 2023, funds advised by global private equity firm Permira acquired a majority stake, with Equistone remaining a minority investor—supporting our continued growth and innovation.

    For more information, visit www.acuityanalytics.com

    Basic information

    Position Title

    AI Full Stack Architect

    Experience Level

    Mid to Senior

    Department

    ASL

    Location

    Gurgaon/ Bangalore/Pune

    Organizational relationships

    Position reports to

    Job Purpose

    We are looking for an experienced Full Stack Developer-Python with python, react, npm and node.js who thrives at the intersection of engineering and product. In this role, you will work closely with internal teams to design, integrate, and deploy AI-enabled solutions in real-world production environments. You will act as a technical owner from solution design through implementation and ensuring high-impact outcomes.

    Key responsibilities

    • 8–15 years of professional software engineering experience with end-to-end product delivery
    • Strong hands-on experience with React.js for building modern, scalable front-end applications
    • Strong backend development experience with Python and Node.js (API-first design)
    • Solid proficiency with JavaScript/TypeScript, npm, and modern build tooling
    • Strong experience with system integration: REST APIs, webhooks, external services, authentication, and enterprise integrations
    • Proven experience in production deployment & support, including debugging, performance tuning, and reliability engineering
    • Strong knowledge of Git, branching strategies, and CI/CD pipelines (Jenkins, GitHub Actions, etc.)
    • Familiarity with testing frameworks (unit/integration/e2e) and secure engineering practices (auth, encryption, compliance basics)

    Key competencies

    • Design, build, and deploy full-stack applications using React (frontend) and Python/Node.js (backend)
    • Build and integrate GenAI-powered features (e.g., chat copilots, summarization, extraction, search, automation) into real customer workflows
    • Implement Agentic AI systems that can reliably use tools, call APIs, follow workflows, and operate with strong safety/guardrails
    • Design systems with a focus on scalability, maintainability, security, and forward compatibility
    • Collaborate closely with Product, Data Science and Platform Engineering.
    • Own solution delivery end-to-end: architecture, implementation, testing, deployment and monitoring
    • Create reusable components, internal tooling, and maintain high-quality technical documentation

    Platform & Infrastructure Requirements

    • Experience with at least one cloud platform: AWS / Azure / GCP
    • Familiarity with containerization and orchestration: Docker, Kubernetes (or ECS, Cloud Run, etc.)
    • Understanding of production-grade monitoring/logging (CloudWatch, Datadog, Prometheus, Grafana, etc.)
    • Experience with databases and data pipelines: SQL/NoSQL, streaming/ETL, analytics tooling
    • Experience optimizing AI systems for latency, throughput, and cost efficiency in production
    • Exposure to AI system observability: tracing prompts, token usage, model outputs, evaluation metrics, feedback loops
    • Prior customer-facing experience in consulting/solutions engineering or enterprise implementations
    • Startup or fast-paced product environment experience
    • Strong ownership mindset: implementation → adoption → scale → long-term success
    • Experience designing secure architectures aligned to data privacy, compliance, and governance standards

    Acuity Analytics has earned several prestigious industry recognitions, including Great Place to Work® certifications in India and Costa Rica, AVTAR Best Companies for Women in India, the AVTAR Most Inclusive Companies Index, and silver accreditation in the Workplace Equality Index. These accolades reflect our commitment to building an inclusive, supportive and high-performance workplace for our people. Learn more here.

    Follow us on social media to stay updated with Acuity Analytics news

    l LinkedIn: https://www.linkedin.com/company/acuityanalytics/

    l Facebook: https://facebook.com/AcuityAnalytics/

    l Twitter: https://x.com/acuityanalytics=21

    l YouTube: https://www.youtube.com/@AcuityAnalytics

    Sourced from foundit

    Section · 02

    Skills

    PrometheusDatadogGrafanaDockerKubernetesNoSQLnpmgoogle cloud platformamazon web servicesAWS CloudWatchPythonJavascriptNode.JsTypescriptReact.JsSQLREST APIETLMicrosoft AzureGIT

    Section · Company

    About Acuity Analytics

    Acuity Knowledge Partners logo

    Acuity Knowledge Partners

    Analytics & KPO

    5k+

    employees

    2002

    24 years old

    Gurgaon / Gurugram, Haryana

    India

    About

    Acuity Analytics is a trusted partner to 850+ global financial firms, with 7,200+ people across 28 locations. We accelerate innovation through Digital Engineering, Data and AI.

    Industries

    IT Services & Consulting

    Employee ratings

    1,457 reviews

    3.1/ 5

    Culture

    3.0

    Career growth

    2.6

    Work-life

    3.3

    Employees rate it well for

    Work Life Balance311Salary193Work Culture154Senior Management151Learning121

    Find them on

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