Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 21315304

    REMOTEFULLTIME

    Senior AI Engineer (AI-Native SDLC)

    VeriPark

    VeriPark

    Remote · remote · Posted 4d ago

    Sourced fromNaukri
    ₹20.0L - ₹32.5L PA7–11 yrsfulltimeRemote

    Your match

    ?

    Sign in to see your match score, skill gaps & tailored resume.

    Section · 01

    About this role


    Senior AI Engineer (AI-Native SDLC)

    We are FinTech people. We enable financial institutions to become digital leaders.

    As a global professional team, we work with best clients for great and exciting projects, in an environment where we learn amazing things every day. Each code, each voice, each contribution, each challenge, each success is celebrated here.

    We welcome candidates who share our values, have the skills and are passionate to enjoy our journey to build the digital future of finance, together.


    About Job:

    The Senior AI Engineer is a hands-on engineer responsible for designing, building, and scaling AI-driven solutions across the entire Software Development Life Cycle (SDLC), from requirements and design to coding, testing, and release, including LLM selection and cost optimization for these solutions.

    The role is a builder of AI solutions, turning AI experiments into production-grade tools and agents that delivery teams use every day.


    What you will be doing:

    AI-Driven SDLC Solutions

    • Use AI to automate and optimize R&R-based SDLC process tasks, reducing manual effort while maintaining process compliance.
    • Design and build LLM-based applications and agentic workflows across the SDLC, applying context engineering, agent orchestration, and MCP.
    • Identify and prioritize AI and agentic use cases across the SDLC (requirements, design, development, testing, documentation, release) based on value, feasibility, and risk.
    • Prototype quickly and take successful pilots to production-ready, reusable assets.
    • Build RAG solutions over internal knowledge (product docs, SSDs, test assets).
    • Build AI solutions to generate analysis artifacts and support AI Test Automation team for test case and test data generation, automation script generation, and self-healing.

    Integration, Quality & Governance

    • Integrate AI solutions with Jira, Confluence, Azure DevOps, and GitHub via APIs and MCP.
    • Define evaluation frameworks, guardrails, and monitoring (accuracy, hallucination, latency) and build reusable patterns for scaling AI solutions.
    • Evaluate AI models, frameworks, and platforms for building SDLC solutions through hands-on PoCs.

    LLM Selection & Cost Optimization

    • Benchmark and select LLMs per use case based on output quality, latency, and cost; apply model routing between large and smaller models.
    • Analyse token consumption of AI solutions and agents, and track usage, budgets, and cost-per-task metrics.
    • Optimize agent efficiency and cost through prompt and context optimization, prompt caching, RAG tuning, batching, and fewer unnecessary agent steps and tool calls.

    Piloting & Impact Measurement

    • Pilot the AI solutions built on live projects; establish baselines and measure their impact on effort, quality, and usage.
    • Document solutions and provide technical guidance and handover to the teams using them.

    What we are looking for :

    • Strong development and solid engineering practices for AI (clean code, testing, CI/CD).
    • Hands-on experience with AI coding assistants such as Claude Code or GitHub Copilot.
    • Experience with the Microsoft AI ecosystem (e.g., Copilot Studio, Azure AI Foundry) is a plus.
    • Hands-on experience with LLM APIs, agent frameworks, and MCP.
    • Practical knowledge of RAG, embeddings, vector databases, prompt and context engineering, and LLM evaluation and monitoring.
    • Understanding of test automation (e.g., Playwright) and requirement management.
    • Experience integrating with Jira, Confluence, Azure DevOps, and GitHub APIs and with cloud platforms; fluent in English.

    Experience & Qualifications:

    • Bachelor's degree in Computer Science or related field; Master's in AI/ML is a plus.
    • 7+ years of software engineering experience, including 2+ years of hands-on GenAI/LLM development.
    • Proven experience applying AI to the SDLC (e.g., testing, requirements, coding).
    • Experience in banking or other regulated industries is a plus.

    What we are offering:

    • Remote Freedom, Your Way: At VeriPark we believe in the power of talent, no matter where it resides. Design your ideal workspace and achieve the perfect work-life balance.
    • Performance-Linked Bonus: Your hard work doesn't go unnoticed! Enjoy a performance-linked bonus as a testament to your dedication!
    • Rewards Beyond the Job: Enjoy a comprehensive benefits package, including Remote Work Support, Health Insurance, Care Program, and Online Psychological Support. We care you!
    • Birthday Leave, Because You Matter: We value your special moments! Take the day off on your birthday and treat yourself.
    • Global Impact, Cutting-Edge Tech: Immerse yourself in global projects with top-tier clients and stay ahead with cutting-edge technologies. Your skills will shape the future of our industry.
    • Unleash Your Potential: Develop yourself with VeriPark Academy opportunities; webinars, and in-house training sessions.
    • Diverse, Vibrant Community: Be part of a dynamic environment that values diversity and inclusivity.
    • Together Culture: Even in a remote world, we cultivate connections through engaging face-to-face gatherings as well as online fun events. Special information sharing environment where you can update & align yourself.

    Apply now and let's shape the future together.


    About VeriPark:

    We are a global technology company with more than two decades of expertise in the Financial Services industry. Our mission is to enable financial institutions to become digital leaders by delivering world class customer journeys in digital and assisted channels. We develop omni-channel delivery, customer engagement (CRM), branch automation and loan origination solutions based on Microsoft technology (Azure, Dynamics 365, Power Platform) for banks and insurance companies worldwide.

    With offices in 15 countries from Canada over Europe and the Middle East to Kuala Lumpur, our 900+ colleagues are serving customers in more than 30 countries worldwide.

    https://www.veripark.com

    Sourced from naukri

    Let the agent run this one for you.

    Tailored resume, auto-apply, and referral lookup — in under 2 minutes.

    Section · 02

    Skills

    SDLC Life CycleRetrieval Augmented GenerationLarge Language Models (LLMs)GenAI/LLM DevelopmentAI-driven SDLCSoftware Engineering

    Section · Company

    About VeriPark

    VeriPark

    VeriPark

    Software Product

    51-200

    employees

    1998

    28 years old

    Hyderabad / Secunderabad, Telangana

    India

    ₹28.4L PA avg

    Avg at VeriPark

    ₹20L – ₹32.5L PA

    This role

    About

    Solutions provider to make digital banks, leaders with customer success suite

    Industries

    Software ProductOil / Gas / Petro ChemicalsPower

    Employee ratings

    10 reviews

    2.8/ 5

    Culture

    3.0

    Career growth

    2.4

    Work-life

    3.2

    Employees rate it well for

    Compensation & Benefits34Job Security31

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    Job search guides

    • All 274 Machine Learning Engineer jobs in Hyderabad
    • Auto-apply to jobs like this
    • Tailor your resume for this role
    • How to find remote software jobs in India
    • Resume keywords for software engineers