Staff Engineer

About the Role

We are seeking a hands-on Tech Lead to design, build, and integrate AI-driven systems that automate and enhance real-world business workflows. This is a high-impact role for someone who enjoys full-stack ownership — from backend AI architecture to frontend user experiences — and can align engineering decisions with measurable product outcomes.

You will begin as a strong individual contributor, independently architecting and deploying AI-powered solutions. As the product portfolio scales, you will lead a distributed team across India and Australia, acting as a System Integrator to align engineering, data, and AI contributions into cohesive production systems.

Example Project

Design and deploy a multi-agent AI system to automate critical stages of a company’s sales cycle, including:

• Generating client proposals using historical SharePoint data and CRM insights
• Summarizing meeting transcripts
• Drafting follow-up communications
• Feeding structured insights into dashboards and workflow tools

The solution will combine RAG pipelines, LLM reasoning, and React-based interfaces to deliver measurable productivity gains.

Key Responsibilities

• Architect and implement AI workflows using LLMs, vector databases, and automation frameworks
• Act as a System Integrator, coordinating deliverables across distributed engineering and AI teams
• Develop frontend interfaces using React/JavaScript to enable seamless human-AI collaboration
• Design APIs and microservices integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure)
• Drive architecture decisions balancing scalability, performance, and security
• Collaborate with product managers, clients, and data teams to translate business use cases into production-ready systems
• Mentor junior engineers and evolve into a broader leadership role as the team grows

Ideal Candidate Profile

Experience Requirements

• 5+ years in full-stack development (Python backend + React/JavaScript frontend)
• Strong experience in API and microservice integration
• 2+ years leading technical teams and coordinating distributed engineering efforts
• 1+ year of hands-on AI project experience (LLMs, Transformers, LangChain, OpenAI/Azure AI frameworks)
• Prior experience in B2B SaaS environments, particularly in AI, automation, or enterprise productivity solutions

Technical Expertise

• Designing and implementing AI workflows including RAG pipelines, vector databases, and prompt orchestration
• Ensuring backend and AI systems are scalable, reliable, observable, and secure
• Familiarity with enterprise integrations (SharePoint, Teams, Databricks, Azure)
• Experience building production-grade AI systems within enterprise SaaS ecosystems

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

We are looking for an Engineering Lead to own the entire technology stack — from onboarding and underwriting to disbursals, repayments, and collections — and to build the engineering function into something genuinely AI-native. 

What You'll Own 

● Full tech stack: backend, frontend, infrastructure, integrations, and data pipelines 

● Real-time underwriting and decisioning systems 

● LOS/LMS architecture — onboarding, disbursals, repayments, and collections

● Integrations with bureaus, KYC providers, account aggregators, and payment gateways 

● Reconciliation systems — disbursement, repayment, and NACH reconciliation end-to-end 

● AWS infrastructure: scaling, reliability, uptime, and cloud cost ownership ● Data infrastructure for the credit and risk team — feature pipelines, model serving, experiment infrastructure 

● Engineering leadership: hiring, sprint planning, code reviews, and execution standards 

● Compliance systems: RBI guidelines, DPDP, KYC/AML, e-NACH, e-sign 

AI-Native Engineering 

This is a core part of the role, not a bonus. You will build a machine-readable knowledge base of the entire codebase — architecture, data models, service contracts, coding standards, decision history — so that AI agents working on code have the context to produce accurate, consistent output. You will build skills for code review, developer onboarding, and recurring engineering workflows. You will build a code review pipeline where agents do the first pass on every pull request. The knowledge base and the skills improve over time as the team grows and the product evolves. 

What We're Looking For 

● 7+ years in software engineering, with at least 2 years leading teams or architecture

● Strong hands-on experience with Python, Django, and React Native

● Deep expertise in AWS and cloud-native architecture 

● Experience with both SQL and NoSQL databases 

● Strong understanding of distributed systems, microservices, and API design

● Experience owning reconciliation or payment flow infrastructure in a lending or payments context

● Prior experience in fintech / NBFC / digital lending — mandatory

● Strong understanding of the full loan lifecycle — mandatory 

● You have used LLMs seriously as engineering tools and have strong opinions about what makes AI-assisted development produce good output versus mediocre output 

Bonus: Kubernetes / Kafka, AI/ML-driven underwriting, Account Aggregator framework, e-NACH / e-Sign / Video KYC integrations 

What Success Looks Like 

● scales with strong uptime, performance, and reliability

● Reconciliation runs cleanly — no financial discrepancies surface late ● A new engineer joins and is writing standard, correct code within their first week

● The credit team is never blocked on an engineering dependency 

● Engineering health metrics are tracked and visibly improving 

● AI agents are doing the structured first pass on code reviews, and the system gets smarter over time 

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. 

This role is part of Cognizant IOA (Intuitive Operations and Automation) — and more specifically, a product team with its own origin story. We started as Matterway, a German startup building automation software from scratch. We were acquired by Cognizant, but we kept our team, our culture, our pace, and our way of working. We move like a startup, think like a startup, and now do it with the backing of a global company. 

We combine human expertise with intelligent automation, ML operations, and digital experience solutions to help technology and digital-native companies build smarter, more adaptive operating models. 

What's the opportunity? 

We are looking for Senior Product Engineers to join our team. We're a tight crew of 5 senior engineers, from different corners of the world. We're hiring 3 more people, and those people will shape what this team becomes. 

We're building a platform to support the agentification of our operations. You'll work across a suite of products including a cloud platform for process optimization, desktop application, browser extension, and specialized AI agents. 

This is genuinely frontier work: we don't follow AI trends, we implement them. New model drops on a Monday; we've prototyped with it by Wednesday. 

We believe this is the most exciting time to join. Be part of the founding R&D talent in this area and help set the technical bar for everything that comes next. 

What will you be doing? 

Your day-to-day responsibilities: 

• Design and evolve the core architecture of our platform 
• Set technical standards and take ownership of complex projects end-to-end 
• Work on a well-architected, fast-evolving TypeScript codebase using technologies such as React, Node.js, Electron, and GraphQL 
• Collaborate with product managers, designers, and engineers to solve challenging technical and business problems, with real autonomy 
• Participate in the full development lifecycle: scoping, design, estimation, coding, testing, debugging, code reviews, maintenance, and support 
• Evaluate and implement proofs of concept using the latest AI tools and models 

You will know you're successful if: 

• You develop projects independently until they deliver their intended business value 
• You keep top-notch software quality standards about design, implementation, and documentation 
• You're the person who brings something new to the team's radar, a model, a technique, a tool, before anyone else has heard of it 

What makes you a great fit 

Must-haves: 

• Excellent English (C1+) with exceptional written and verbal communication 
• Strong proficiency with TypeScript across frontend and backend, including building and maintaining Node.js-based services 
• Experience in frontend development using modern frameworks such as Vue.js or React 
• Knowledge of any E2E testing framework such as Playwright, Puppeteer, Selenium, Cypress 
• Ability to work independently and take ownership of deliverables 
• Strong technical fundamentals, genuine intellectual curiosity, and a drive to keep getting better 
• You follow AI closely, not just as a user but as someone who reads the papers, watches the releases, and has opinions. You're excited about where this is going and want to be building at the edge of it 

Nice-to-haves: 

• Familiarity with AI-coding tooling (Claude Code, Cursor, OpenCode, etc.) 
• Experience with cloud infrastructure (AWS, Azure or GCP) and infra-as-code deployment 
• Having built or maintained CI/CD pipelines or workflows, especially GitHub actions 

Why join us? 

• Be at the cutting edge of AI agents and applying LLMs to real-world use cases, not in theory but in production 
• Work on hard problems with high agency: your ideas get heard; your decisions get shipped 
• Join a small but growing internationally distributed team. 
• giving you real influence over how it evolves 
• The resources of a global company with the speed and culture of a startup 
• Remote-first set-up, with the option to work from one of our 13 locations in India: Chennai, Bangalore, Hyderabad, Pune, Mumbai, Gurgaon, Noida, Kolkata, Kochi, Coimbatore, Bhubaneswar, Mangalore, and Indore 
• Flexible working hours 
• Collaborative, pragmatic engineering culture focused on outcomes 
• Fast-growing team within Cognizant, with access to global resources and real career opportunities 

About the Company

The client is revolutionising the way businesses operate through cutting-edge technological solutions. Their focus is on developing intelligent agents and agentic workflows that automate processes and eliminate the need for human effort wherever possible. By leveraging

advanced AI and machine learning, they create systems that enhance productivity and drive efficiency.

Their expertise extends to the fintech, healthcare and medical technology sectors, where they develop innovative solutions that improve patient outcomes and streamline medical operations.

From medical devices to healthcare platforms, their work sits at the intersection of technology and medicine, pushing the boundaries of what's possible. The team is dedicated to continuous learning and growth, ensuring the team members are always at the forefront of the tech landscape.

About the Role

This is a senior, hands-on engineering role at the heart of our product team. You will be one of the most technical people in the room — setting the architecture for our real-time voice AI

agents and building the hardest parts of it yourself. From the systems that power live conversations to the interfaces our clients rely on, you will own how the product is engineered end to end.

We are looking for a genuine lead full-stack engineer with the depth to make architecture decisions that hold up as we scale, and the appetite to still be in the code every day. You should be as comfortable designing the backend services behind a live voice agent as you are shaping a clean interface on top of them — and comfortable being the person others turn to when something is hard.

You will work directly with the founder and product leadership on a fast-moving product, with real influence over technical direction. This is a role for someone who wants ownership at the level of "how the whole thing is built," not just individual features — and who raises the bar for

everyone around them.

What You'll Own

Set the technical direction

• Own the architecture of our core systems — the real-time voice agents, backend
• services, data and APIs — making the decisions that keep the product fast, reliable and scalable as it grows.
• Lead the hardest engineering problems and solve them personally.
• Establish engineering standards — code quality, review practices, testing and technical patterns that the team builds to.
• Drive technical strategy with the founder and product leadership — shaping the roadmap, flagging risk early, and turning product ambition into a sound technical plan.

Build the product end to end

• Design, build and ship features across the stack — backend services, APIs and front-ends — owning them from idea to production.
• Build the client-facing surfaces — dashboards, review tools and configuration interfaces that let our clients run and trust the product.
• Design and evolve the data models and APIs that hold up as we scale across clients.

Make it reliable and fast

• Own production quality — put the monitoring and alerting in place so issues are caught before clients feel them, and performance stays within target.
• Care about performance — find and fix bottlenecks across the stack.
• Build for correctness — put the testing and evaluation in place that keeps the product behaving predictably as it changes.

Lead through the team

• Mentor and grow engineers — through code review, pairing, and setting a technical example others learn from.
• Multiply the team's output — unblock others and lift the overall quality of the codebase.
• Take features from ambiguity to done — turn a rough product goal into a shipped, working capability with minimal hand-holding, and help others do the same.

What We're Looking For

• 8+ years of professional software engineering experience, with significant depth across backend and a track record of owning systems, not just features.
• Strong backend engineering, ideally in Python — building and scaling production services and APIs..
• Proven architecture and system-design ability — you have designed systems that scaled, and can reason clearly about trade-offs.
• Solid fundamentals across APIs, databases and cloud infrastructure.
• Experience building real-time and/or AI-powered products — or clear, demonstrable ability to lead in this area.
• A history of technical leadership — setting standards, mentoring engineers, and being trusted with the hardest problems — while remaining hands-on.
• Excellent communication and a genuine ownership mindset — someone who can be handed an ambiguous, high-stakes problem and be trusted to see it through.

Nice to Have

• Experience working with AI / large language models in production.
• Experience with voice or other real-time products.
• Exposure to healthcare, fintech, or other regulated / high-stakes domains.
• Experience as an early or senior engineer in a startup, where you set direction and wore many hats.

About the Role

Pendo is looking for a Staff Software Engineer to lead teams building core product capabilities across Analytics, Guides, and Platform services. These are the systems that power how hundreds of millions of end users experience the software.

In this role, you will drive execution against business objectives, direct complex initiatives from kickoff through delivery, and build a team that operates with clarity and focus. You will set clear expectations, delegate effectively, and partner closely with product, design, and senior engineering leadership to keep teams aligned and moving. You default toward action, push teams to deliver value daily, and actively use AI tools as part of how you work.

If you're energized by directing high-impact teams, developing strong engineers, and building a culture where craft and velocity coexist, this role is a great fit.

What You'll Do

Team Leadership & Hiring

• Create an environment where engineers are encouraged to take risks, experiment, and challenge the status quo.
• Lead, mentor, and grow a team of engineers through clear expectations, coaching, and timely feedback.
• Own hiring end-to-end, partnering with recruiting to attract and close top engineering talent.
• Build an inclusive, high-performing team culture grounded in ownership, accountability, and continuous improvement.

Delivery & Execution

• Maintain a high bar for velocity, predictability, and quality.
• Own team execution against product and engineering goals.
• Partner with Product and Design to define roadmaps, scope work, and deliver high-quality outcomes.
• Identify and remove blockers, manage risks, and ensure strong planning and prioritization.

Cross-Functional Collaboration

• Work closely with product, design, infrastructure, and other engineering teams to deliver cohesive customer experiences.
• Align team priorities with broader organizational goals and strategy.

Operational Excellence

• Drive improvements in system reliability, performance, and scalability.
• Establish strong practices around monitoring, incident response, and continuous improvement.

What We're Looking For

• 8+ years of experience in software engineering.
• 3+ years of experience managing and growing engineering teams.
• Proven track record of hiring and building high-performing teams.
• Experience delivering complex, cross-functional initiatives in a product-driven environment.
• Strong technical foundation in backend, distributed systems, or full-stack development.
• Proven ability to lead teams through ambiguity and change while maintaining execution.
• Actively uses AI tools in day-to-day work and helps drive adoption across teams.
• Strong communication, organizational, and stakeholder management skills.

Nice to Have

• Experience working on analytics products, user-facing SaaS platforms, or data-intensive systems.
• Experience managing teams across both frontend and backend domains.
• Familiarity with modern cloud environments and scalable architectures.
• Experience working in distributed teams across multiple time zones.

About the role

You'll work on cloud software that helps technical teams collaborate and move faster: an established, in-production product that real customers rely on every day. You'll work directly with leadership who built products at Meta and Apple, on a team where you own meaningful work and your decisions have direct impact.

Location: On-site, Financial District, Hyderabad

What you'll do

• Lead the engineering team day to day, owning delivery and technical direction
• Architect projects end to end and make the high-leverage technical decisions across the stack, in ReactJS, NodeJS, and AWS
• Set up the engineering processes, standards, and rituals that let the team ship fast without breaking things
• Mentor and grow engineers, raising the bar across the team
• Break complex, ambiguous problems into clear plans and drive them to done
• Make deliberate tradeoffs between creating tech debt and delivering business requirements

What we're looking for

• 8+ years of full stack engineering experience (strong senior engineers ready to step into a lead role are welcome)
• Deep, hands-on command of ReactJS, NodeJS, and AWS
• A track record of technical leadership: architecting systems, mentoring engineers, and setting up engineering processes
• Strong fundamentals in data structures and algorithms
• Excellent communication and the ability to thrive in a fast-paced, collaborative environment
• Bonus if you know: TypeScript, SQL, ExpressJS

Who you are

• You have serious work ethic. You get a high from checking things off and seeing results.
• You're curious, resourceful, and self-learning.
• You take ownership and bring the hustle.
• You lead by example and bring momentum to everything and everyone you work with.

📌Important: To complete your application for this role, please fill out this short screening form: [https://app.botfriday.ai/#/open/external-job-application/792cccfa-c046-4092-b20d-814705d5314f].

Only candidates who complete this step will be considered for further rounds."

About us

EDMO is an AI-powered company that provides enrollment-centric solutions to universities,

colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching.

EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows

not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement.

With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and

enhanced student satisfaction.

At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric.

Website - https://goedmo.com/

Position Overview

We're seeking an exceptional Lead Software Engineer / Senior Tech Lead who can energize and guide a team of brilliant engineers while driving rapid, high-quality product development using AI and innovative technologies. The ideal candidate brings deep full-stack and backend

engineering expertise combined with strong leadership capability and a hands-on approach to architecture and delivery.

Key Responsibilities

• Lead and mentor a team of 5–8 senior engineers across AI, Salesforce, and full-stack development

• Drive technical strategy and architectural decisions — including backend, API design, and system design — for EDMO's product portfolio

• Own and evolve backend architecture using Node.js / NestJS and front-end solutions in React or Angular

• Define and implement telemetry, observability, and monitoring standards (logging,tracing, alerting) across services

• Foster a culture of innovation, continuous learning, and technical excellence

• Manage sprint planning, code reviews, and technical delivery timelines

• Collaborate closely with product management and design teams

• Guide technical hiring and team scaling decisions

• Ensure code quality, security, and performance standards

• Lead technical discussions with university clients and stakeholders

• Drive adoption of best practices, tools, and development methodologies

Required Qualifications

Experience & Leadership

• 8+ years of software development experience with 3+ years in technical leadership roles

• Must have: Proven track record of leading high-performing technical teams

• Must have: Experience energizing and motivating senior engineers to achieve exceptional results

• Experience with Agile/Scrum methodologies and DevOps practices

• Excellent communication skills with ability to translate technical concepts to non-technical stakeholders

• Experience with performance management, career development, and team building

• Strong problem-solving skills and ability to make decisions under pressure

Technical Stack — Must Have

• Node.js and NestJS — production-grade backend services, microservices, and API design

• TypeScript — Good Have

• React or Angular — front-end development and component architecture

• Backend and system architecture — designing scalable, maintainable, distributed

systems

• Telemetry & monitoring — hands-on experience with logging frameworks, distributed tracing (e.g. OpenTelemetry, Datadog, New Relic, or similar), and alerting pipelines

• Cloud platforms — GCP preferred; AWS or Azure acceptable

• Databases — PostgreSQL, MongoDB, or equivalent; Redis for caching/queuing

• CI/CD — GitHub Actions, Cloud Build, or equivalent pipelines

Additional Technical Background

• Strong background across multiple domains: AI/ML integration, web development, cloud- native architecture• Microservices patterns, API gateway design, event-driven architectures

Preferred Qualifications

• Experience in EdTech, SaaS, or B2B technology companies

• Background in AI/ML or emerging technologies

• Experience scaling engineering teams from startup to growth stage

• Knowledge of the Salesforce ecosystem and integrations

• GCP certifications or demonstrated GCP production experience (Cloud Run, Pub/Sub, BigQuery, GKE)

• Experience building and operating observability stacks (dashboards, SLOs, on-call runbooks)

• MBA or advanced degree in technology or business

• Track record of successful product launches and customer implementations

• Experience working with US-based clients and distributed teams

Leadership Philosophy We Seek

• Servant Leadership: Empowering team members to achieve their best work

• Technical Excellence: Setting high standards while maintaining development velocity

• Growth Mindset: Continuously learning and helping others grow

• Results-Oriented: Delivering measurable business outcomes through technology

• Cultural Builder: Creating an inclusive, innovative, and collaborative team environment

Growth Opportunities

• Path to VP of Engineering

• Opportunity to build and scale EDMO's India engineering organization

• Lead major strategic partnerships and technical initiatives

• Drive innovation in AI-powered educational technology

Job Description:

Head of Engineering — Chennai (Onsite)About the Role

Job Details

Position: Head of Engineering

Department: Engineering

Experience: 6–8 Years

Employment Type: Full-time

Location: Chennai, On-site

Salary: Up to ₹24,00,000 per annum

About the Role

We’re looking for a Head of Engineering to take end-to-end ownership of engineering for a fast-moving product. You’ll be responsible for architecture, execution, product quality, engineering culture, and team growth.

This is a hands-on leadership role. You’ll spend approximately 60% of your time coding and reviewing code and 40% on product, people, and engineering leadership.

What You’ll Do

• Own engineering end to end, including architecture, development, delivery, quality, and hiring.
• Stay hands-on with the codebase, spending roughly 60% of your time writing and reviewing code.
• Establish and continuously improve the engineering workflow: how the team plans, builds, reviews, ships, and measures.
• Improve development velocity and reduce cycle time without compromising product quality.
• Drive AI-assisted software development across the engineering team using Claude Code and similar agentic coding tools as a core productivity lever.
• Establish practical systems and workflows that demonstrate measurable improvements in engineering throughput.
• Work closely with the founders on product strategy, technical trade-offs, priorities, and what to build next.
• Build, mentor, and scale a high-performing engineering team.

What We’re Looking For

• 6–8 years of professional software engineering experience.
• Experience taking at least one product from zero to launch.
• Experience building and scaling at least one product to a large user base.
• Strong hands-on expertise in Python and Node.js.
• Comfortable working with React Native / Expo.
• Strong understanding of PostgreSQL and database fundamentals.
• Previous experience leading a small engineering team.
• A leadership style based on ownership and technical example, rather than simply assigning tickets.
• Daily experience with agentic coding tools, with the ability to demonstrate how they have improved development speed and team throughput.
• Strong product instincts and the ability to form opinions about user problems, not just technical implementation.
• Based in Chennai or willing to relocate.

How We Work

We operate with high pace, high ownership, and short feedback loops.

You’ll be expected to get close to the product, understand the users, make decisions quickly, and ship within your first week.

If you enjoy building products from the ground up, staying close to the code, and using AI to fundamentally improve how engineering teams work, we’d love to hear from you.

How to Apply

Join Aura Gold and be part of building a high-performing team from the ground up!

Ability to commute/relocate:

• Chennai, Tamil Nadu (Chennai, Chennai District): Reliably commute or planning to relocate before starting work (Preferred)

Education:

• Bachelor's (Preferred)

Language:

• English, Tamil , Hindi (Required)

Location:

• Chennai, Tamil Nadu (Chennai, Chennai District) (Required)

Work Location: In person

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

• Define and drive the technology vision, architecture and long-term platform roadmap.
• Oversee the architecture, design and delivery of highly scalable enterprise systems.
• Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

• Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
• Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
• Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

• Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
• Own the GenAI/LLM solutions architecture.
• Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
• Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
• Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

• A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
• Collaborate with executive leadership on business strategy, client requirements and product delivery.
• Build, mentor and scale high-performing engineering teams with a growth mindset.
• Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

• Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
• Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
• Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

• Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
• A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
• Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
• Proven leadership in defining and executing technology strategy and platform roadmaps.
• Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

• Strong full-stack engineering background (Java, Python, JavaScript frameworks).
• Expertise with JS frameworks such as React, Angular and Node.js.
• Experience building and scaling distributed systems and microservices.
• Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
• Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

• Product and delivery management expertise, end to end, including delivery and customer support.
• Excellent communication, with the ability to influence executive stakeholders.
• High technical proficiency combined with strong business acumen.
• Strong analytical and decision-making skills.