Tech Lead - App Development

Job Description: Tech Lead – AI & Technology

Role Title: Tech Lead – AI & Technology

Location: Bangalore, India – Fully On-site

Experience: 5+ Years

Employment Type: Full-time

About the Role

We are looking for an experienced and hands-on Tech Lead to lead a small engineering team and drive the development of AI-powered applications, internal technology platforms, and modern IT solutions. The Tech Lead will be responsible for technical direction, architecture, development, code quality, team management, and end-to-end delivery of technology projects. The ideal candidate should have strong programming experience, particularly in Python and ReactJS, along with practical experience working with AI/ML technologies.

1. Technical Leadership & Team Management

• Lead and mentor a team of developers and technical team members.
• Own technical delivery across multiple projects and initiatives.
• Assign tasks, review progress, resolve technical blockers, and ensure timely delivery.
• Conduct code reviews and establish engineering best practices.
• Mentor team members and support their technical growth.

2. Software Development & Architecture

• Design and develop scalable, secure, and maintainable applications.
• Lead backend development using Python and frontend development using ReactJS.
• Define application architecture, technology choices, APIs, integrations, and development standards.
• Review technical designs and ensure high-quality implementation.
• Troubleshoot complex technical issues and drive effective solutions.

3. AI & Technology

• Lead the development and integration of AI-powered applications and solutions.
• Work with AI/ML models, APIs, LLMs, Generative AI, and related technologies.
• Evaluate emerging AI tools and technologies and identify opportunities for practical implementation.
• Collaborate with product and business teams to translate requirements into AI-enabled technology solutions.

4. Project Delivery

• Own the complete technology lifecycle from requirements and architecture to development, testing, deployment, and maintenance.
• Plan sprints, estimate development efforts, and track technical milestones.
• Work closely with cross-functional stakeholders to understand requirements and deliver solutions.
• Ensure projects meet timelines, quality standards, security requirements, and performance expectations.

5. Engineering Quality & Infrastructure

• Establish standards for coding, testing, documentation, version control, and deployment.
• Ensure applications are scalable, reliable, and secure. l Collaborate on cloud infrastructure, APIs, databases, CI/CD, and deployment processes.
• Identify opportunities to improve system performance and engineering efficiency.

Technical Skills – Must Have

• 5+ years of software development experience.
• Strong hands-on experience with Python.
• Strong experience with ReactJS / React.
• Experience leading or managing technical team members.
• Strong understanding of AI/ML and Generative AI technologies.
• Experience with APIs, databases, Git, and software development lifecycle.
• Strong understanding of application architecture and system design.
• Experience building and deploying production-grade applications.

Technical Skills – Good to Have

• Experience with LLMs, RAG, AI agents, or Generative AI applications.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with Docker, CI/CD, and DevOps practices.
• Experience integrating third-party AI APIs and services.
• Experience working in startups or fast-paced technology environments.

What We Are Looking For

• Strong technical ownership and problem-solving ability.
• Ability to balance hands-on coding with team leadership.
• Excellent communication and stakeholder management skills.
• Ability to mentor developers and drive accountability within the team
• Strong interest in AI and emerging technologies.
• A proactive, ownership-driven approach with the ability to work in a fast-paced environment.

Why Join Us?

• Work on AI-powered technology with meaningful social impact.
• Lead a small, high-ownership technology team.
• Work across AI, software engineering, and modern IT infrastructure.
• Opportunity to shape technology architecture and engineering practices from the ground up.
• Collaborative and fast-moving environment with significant technical ownership.

Job Description:

Head of Engineering — Chennai (Onsite)About the Role

Job Details

Position: Tech Lead

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 Tech Lead 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

We are looking for a hands-on Engineering Lead who can own backend engineering, DevOps, and delivery management.

This is not a coordination-only role. You will contribute technically while establishing the processes, accountability, and

operating rhythm needed for predictable delivery. You will manage multiple engineers and effectively use AI coding

agents and automation tools to improve the team's output without compromising quality.

Key Responsibilities

• Own the architecture, development, deployment, and reliability of our backend systems.

• Lead engineers through clear goals, task breakdowns, ownership, reviews, and regular feedback.

• Establish a process-oriented delivery system covering planning, estimation, execution, testing, release, and

retrospectives.

• Translate product requirements into technical plans, milestones, dependencies, and measurable deliverables.

• Track execution proactively, identify delivery risks early, and communicate status clearly.

• Remain hands-on with critical development, debugging, architecture, code reviews, and production issues.

• Own CI/CD, infrastructure, observability, deployment practices, and operational readiness.

• Improve engineering quality through coding standards, automated testing, documentation, and review processes.

• Delegate work effectively across team members according to their strengths and development needs.

• Use AI coding agents and engineering automation to parallelise suitable work, while reviewing and validating all

outputs.

• Build a culture of accountability in which work has clear owners, acceptance criteria, deadlines, and definitions of

done.

• Collaborate closely with product and business stakeholders to balance speed, scope, quality, and technical debt.

What We Are Looking For

• 6+ years of backend engineering experience.

• At least 2 years of experience leading or managing an engineering team.

• Strong hands-on backend development experience with Python, FastAPI, Django + Django REST Framework, and

PostgreSQL.

• Practical experience with cloud infrastructure (AWS), DevOps, CI/CD, containers (Docker), monitoring, and

production operations.

• Experience working in a mature, process-oriented engineering environment.

• Demonstrated ability to improve delivery predictability and engineering throughput.

• Strong understanding of agile planning, estimation, sprint execution, incident management, and retrospectives.

• Ability to manage multiple people and concurrent streams of work.

• Experience reviewing architecture, pull requests, test plans, and production-readiness requirements.

• Strong written and verbal communication skills.

• Ability to give direct, constructive feedback and hold team members accountable.

• Sound judgement about when to build, delegate, automate, or reduce scope.

Tech Stack

Must-have: Python, FastAPI, Django + Django REST Framework, PostgreSQL, SQLAlchemy (async) + asyncpg, Pydantic,

REST API design + JWT authentication, Docker, AWS (ECS, ALB, ECR, CloudWatch, S3, Secrets Manager), Git.

Strongly preferred: Redis, Elasticsearch / OpenSearch, WebSockets, Payment gateways (Razorpay / Cashfree), Third-

party / ERP integrations, CI/CD (AWS CodeBuild or GitHub Actions).

Nice-to-have: Frappe / ERPNext + MariaDB, Microservices architecture, PostHog / CleverTap / Firebase, B2B e-commerce

or order management experience.

AI-Assisted Engineering

The ideal candidate should be comfortable incorporating AI into the software-development lifecycle. This includes:

• Breaking work into tasks that can be delegated safely to coding agents.

• Running multiple human and agent-led workstreams concurrently.

• Providing agents with clear context, constraints, and acceptance criteria.

• Reviewing generated code for correctness, security, maintainability, and architectural fit.

• Using automation to accelerate testing, documentation, refactoring, and operational workflows.

• Measuring whether AI tooling produces genuine delivery improvements.

We do not expect blind reliance on generated output. The Engineering Lead remains accountable for the quality and

correctness of everything shipped by the team.

Success in the First 90 Days

• Understand the existing architecture, infrastructure, team capabilities, and delivery bottlenecks.

• Take ownership of backend and DevOps execution.

• Introduce a consistent planning, tracking, review, and release cadence.

• Establish visibility into ownership, progress, dependencies, and delivery risks.

• Improve CI/CD, testing, monitoring, and production-readiness practices.

• Create an effective delegation model across engineers and AI agents.

• Deliver at least one meaningful product or platform milestone predictably from planning through production.

Nice to Have

• Experience scaling an early-stage or growing engineering team.

• Experience hiring, mentoring, and performance-managing engineers.

• Experience with infrastructure as code, security practices, and cloud-cost optimisation.

• Experience managing migrations, reliability improvements, or legacy-system modernisation.

• Previous experience introducing AI-assisted development workflows into an engineering team.

Who Will Succeed in This Role

You are likely to succeed if you are equally comfortable discussing architecture, reviewing code, resolving a production incident, planning a release, and having an accountability conversation with an engineer. You bring structure without creating unnecessary bureaucracy and know how to turn product priorities into consistent, high-quality delivery.

About the Role We are seeking a highly technical, hands-on Senior AI/ML Tech Lead to drive the design, development, and deployment of cutting-edge Generative AI applications. In this dual-impact role, you wi l act as a primary individual contributor architecting core AI engines while simultaneously leading a team of engineers through task alocation, code reviews, and technical mentorship. The ideal candidate bridges the gap between state-of-the-art AI research (LLMs, Agentic frameworks, Advanced RAG, OCR) and production-grade ful-stack engineering (Python, FastAPI, React).

Key Responsibilities

Technical Leadership & Team Management (40%)

● Technical Oversight: Lead a team of AI, backend, and ful-stack engineers; alocate tasks, establish sprint priorities, and ensure timely delivery.

● Code Quality & Reviews: Conduct rigorous code reviews to maintain high engineering standards, security, performance, and scalability across AI and fu l-stack codebases.

● Architecture & Governance: Design end-to-end system architectures for AI solutions, ensuring seamless integration between frontend interfaces, backend APIs, and AI models.

● Mentorship: Guide and upskil team members on modern software practices, LLM engineering, and agentic design patterns. Hands-On Engineering & Development (60%)

● Generative AI & Agentic Systems: Architect, build, and optimize LLM-powered applications, multi-agent workflows (e.g., CrewAI, AutoGen, LangGraph), and autonomous AI agents.

● RAG & OCR Pipelines: Design and deploy advanced RAG (Retrieval-Augmented Generation) architectures and document processing pipelines utilizing OCR techniques (e.g., LayoutLM, PaddleOCR, Tesseract, Vision LLMs) to extract structured data from unstructured sources.

● Backend Systems: Build robust, asynchronous, high-throughput microservices and RESTful APIs using Python and FastAPI.

● Frontend Integration: Colaborate on or build modern web interfaces using React (e.g., Control Towers, operations dashboards, interactive chat interfaces).

● MLOps & Vector DBs: Oversee model deployment, prompt engineering, fine-tuning, vector database integration (Pinecone, Qdrant, Chroma, PGVector), and cloud infrastructure setup (Azure/AWS).

Required Qualifications & Skills

● Overall Experience: 8 to 10 years of professional software engineering experience.

● AI/ML Domain Experience: 3 to 4+ years of dedicated, hands-on experience building and deploying AI/ML, OCR, and Generative AI solutions in production.

● Core Technical Stack: ○ Generative AI & LLMs: Extensive experience with commercial and open-source LLMs (OpenAI, Anthropic Claude, Llama), Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI), and LLM evaluation frameworks (LangSmith, TruLens, Ragas). ○ RAG & Unstructured Data: Strong knowledge of hybrid search, re-ranking, chunking strategies, vector databases, and document inte ligence workflows. ○ OCR & Vision Techniques: Hands-on experience with OCR engines (Tesseract, PaddleOCR, Azure Document Inteligence) and Multi-Modal/Vision LLMs for document extraction. ○ Backend: Deep expertise in Python and asynchronous frameworks (FastAPI, AsyncIO). ○ Frontend: Working proficiency in React (TypeScript/JavaScript) for building interactive web UI components. ○ Cloud & DevOps: Hands-on experience with cloud platforms (Azure / AWS), Docker, Kubernetes, and CI/CD pipelines.

Preferred / Good-to-Have Skills

● Experience with cloud-native data platforms (e.g., Microsoft Fabric, Snowflake, Azure SQL).

● Familiarity with cost optimization and latency reduction techniques for LLM inference (caching, semantic routing, model quantization).

● Prior experience in client-facing technical leadership or agile consulting environments.

What We Offer

● Opportunity to lead and build high-impact, state-of-the-art Generative AI systems.

● Colaborative engineering culture with room for technical ownership and direct business impact.

● Flexible work arrangements and competitive compensation package.

Job Title: Technical Lead

Experience: 6+ Years

Job Type: Full-Time

Department: Engineering

Job Location: Sec-62, Noida.

Job Summary

We are looking for an experienced and hands-on Technical Lead with strong software engineering expertise and a proven track record of building scalable, secure, and production-grade web applications.

The ideal candidate will have 6+ years of software development experience, strong expertise across modern frontend and backend technologies, and the ability to take end-to-end technical ownership—from architecture and development through deployment and production support.

The role requires a technically hands-on leader who can provide architectural direction, mentor developers, review code, solve complex engineering challenges, and ensure high standards of engineering quality.

Practical knowledge of AI/GenAI technologies is important. Prior experience in the Indian FinTech/BFSI ecosystem will be strongly preferred.

Key Responsibilities

• Lead the technical design, architecture, development, and delivery of web-based applications.
• Take end-to-end technical ownership of projects, ensuring scalable, maintainable, secure, and high-quality implementations.
• Work hands-on across frontend, backend, databases, APIs, cloud infrastructure, and third-party integrations.
• Define technical architecture, technology choices, coding standards, and engineering best practices.
• Conduct code reviews and ensure high standards of code quality, performance, security, and maintainability.
• Mentor developers and provide technical guidance throughout design and implementation.
• Identify technical risks, bottlenecks, scalability concerns, and architectural challenges early in the development lifecycle.
• Collaborate with Product Managers, Business Analysts, Designers, QA, DevOps, and other stakeholders to translate business requirements into effective technical solutions.

• Participate in effort estimation, sprint planning, technical discussions, and delivery planning.
• Troubleshoot complex production issues and drive root-cause analysis and permanent resolutions.
• Evaluate and introduce new technologies, frameworks, development practices, and AI-assisted engineering tools where appropriate.
• Identify opportunities to incorporate AI/GenAI capabilities into products, workflows, and internal engineering processes.
• Ensure applications follow appropriate practices for security, data privacy, authentication, authorization, logging, and monitoring.

Technical Skills & Requirements

Mandatory

• 6+ years of professional software development experience.
• Strong experience building and maintaining production-grade web applications.
• Strong proficiency in modern JavaScript/TypeScript ecosystems.
• Experience with frontend frameworks such as React.js, Next.js, Angular, Vue.js, or similar.
• Strong backend development experience using Node.js and/or other modern backend frameworks and languages.
• Strong understanding of REST APIs, microservices, API design, authentication, authorization, and third-party integrations.
• Experience with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, etc.
• Good understanding of system design, distributed systems, scalability, caching, asynchronous processing, and performance optimization.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with Docker, CI/CD pipelines, Git-based development workflows, monitoring, and modern DevOps practices.
• Strong understanding of application security and secure software development practices.

AI / GenAI Skills

The candidate should have a practical understanding of the modern AI ecosystem and its application in software products.

Experience or knowledge in the following areas will be an advantage:

• LLM-based applications and APIs
• OpenAI, Anthropic, Gemini, or similar AI platforms
• AI agents and agentic workflows
• RAG and vector databases
• Prompt engineering and structured outputs
• AI-assisted development tools
• Integration of AI capabilities into existing web applications

• Reliability, security, privacy, cost, and hallucination considerations in production AI systems

Deep AI/ML research experience is not mandatory. The candidate should, however, be comfortable understanding and integrating modern AI capabilities into software products.

FinTech / BFSI Experience – Preferred

Prior experience working with FinTech, BFSI, lending, payments, banking, insurance, credit, or financial services products in India will be strongly preferred.

Experience in any of the following areas will be particularly valuable:

• Digital lending / Loan Management Systems
• Payments and payment gateways
• Credit bureau and credit-score integrations
• KYC / eKYC and identity verification
• Account Aggregator ecosystem
• UPI / NPCI integrations
• Banking and NBFC integrations
• Financial APIs and third-party FinTech platforms
• RBI-related technology and compliance requirements
• Data security and privacy requirements for financial applications

Leadership & Soft Skills

• Proven ability to lead and mentor engineering teams.
• Strong problem-solving, debugging, and analytical capabilities.
• Ability to make sound technical and architectural decisions.
• Strong ownership mindset with accountability for project delivery.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Comfortable working in a fast-paced environment with multiple projects and priorities.
• Ability to balance engineering quality with practical business and delivery requirements.
• Strong documentation and communication skills.

What We’re Looking For

We are looking for a hands-on Technical Lead rather than a purely managerial profile.

The ideal candidate should be able to:

• Understand business requirements and translate them into technical solutions.
• Design scalable and reliable application architecture.
• Guide and mentor engineering teams.
• Review critical code and technical implementations.
• Solve complex technical and production issues.
• Make effective technology and architecture decisions.
• Take ownership of delivering reliable products into production.

Mandatory Criteria

6+ years of software engineering experience with strong expertise in modern web technologies.

Strongly Preferred

• Experience building or leading FinTech products in India.
• Practical understanding of AI/GenAI technologies and their integration into modern software products.

Roles & Responsibilities

1. Write, review and merge production code across Vue.js frontend and Node.js backend
2. Own code quality for the India team — set review standards and refactor technical debt
3. Debug across the full stack — from Vue rendering issues to Mongo aggregations to Kubernetes pod issues
4. Guide the team on day-to-day development decisions and step in on unsolved problems
5. Design solutions for new modules from spec to schema to API contract to implementation
6. Own MongoDB data modelling decisions — document structure, embedding vs referencing, index strategy
7. Review Node.js service design: API structure, error handling, validation, authentication, rate limiting, background processing
8. Make and document build-vs-buy calls on third-party services with cost and integration effort
9. Ensure the platform stays stable and performant on a live, revenue-generating system
10. Demonstrate daily working use of AI coding tools and spec-driven development practice
11. Judge AI output quality and know when tasks should not be handed to agents
12. Set up and maintain repo-level context files and make the team's AI setup consistent
13. Coach the team on AI tools while holding the line on quality
14. Work with LLM APIs, embeddings, semantic search and understand where AI features help
15. Run sprint planning, estimation, standups and retros for the India team
16. Break requirements into technical tasks with clear acceptance criteria
17. Track velocity and flag slippage and blockers early
18. Own release coordination — deployment planning, rollback strategy and post-release monitoring
19. Line-manage 6–10 engineers across web, mobile and QA — 1:1s, feedback, performance conversations and growth planning
20. Mentor mid-level engineers into senior ones and build depth
21. Participate in hiring — technical screening, interviewing and onboarding
22. Keep the team's engineering practices consistent: documentation, testing, branching, incident handling
23. Act as the main technical point of contact between the India team and the UAE office product and business stakeholders
24. Communicate clearly to mixed technical and non-technical audiences — status, risk, trade-offs and time cost
25. Manage the time-zone gap with structured overlap hours, written updates and async documentation
26. Own technical delivery on modules including product catalogue, pricing, ordering, workflows, order management, payments, invoicing and vendor onboarding

Ideal Candidate

1Strong Hands-On Technical Team Lead Profile (Vue.js + Node.js) with AI-assisted development and B2B e-commerce exposure2Mandatory (Experience) - Must have 8+ years of software engineering experience with at least 2+ years leading a team of 5 or more engineers3Mandatory (Tech skill 1): Must have strong, current, hands-on Vue.js experience including component architecture, state management and performance optimisation4Mandatory (Tech skill 2): Must have strong, current, hands-on Node.js and Express experience for production API development at scale5Mandatory (Tech skill 3): Must have deep MongoDB experience including aggregation pipelines, index design, query performance tuning and schema decisions6Mandatory (Tech skill 4): Must have AWS experience particularly Kubernetes/EKS with deployments, resource limits, health probes and production monitoring7Mandatory (Tech skill 5): Must have working understanding of Flutter including widget architecture, state management, platform channels and Play Store/App Store release pipelines8Mandatory (Tech skill 6): Must have demonstrable, daily professional use of AI coding tools (Claude Code, Cursor, GitHub Copilot, Gemini CLI or equivalent) with real examples9Mandatory (Tech skill 7): Must have experience with spec-driven development including writing structured requirement and design documents and reviewing AI-generated output against acceptance criteria10Mandatory (Tech skill 8): Must have experience setting up and maintaining repo-level context files, rules files and custom commands for AI development11Mandatory (Tech skill 9): Must have Git and CI/CD experience including branching strategy, review workflow and automated pipelines12Mandatory (Leadership): Must have line-managed engineers (1:1s, feedback, performance, growth), mentored mid-to-senior, and participated in hiring13Mandatory (Communication): Must communicate clearly to mixed technical/non-technical audiences and manage a time-zone gap with structured overlap and async documentation (works with the UAE office)14Mandatory (Education): Bachelor's or Master's in Computer Science, Engineering or related field15Mandatory (Domain): Background in B2B e-commerce, wholesale/distribution or marketplace platforms16Preferred (Offshore Experience): Experience working as the offshore technical counterpart to an overseas leadership team17Preferred (AI Integration): Experience integrating LLM APIs into a production product18Preferred (Observability): Exposure to observability tooling such as CloudWatch, Datadog or Sentry and analytics instrumentation19Preferred (Third-party Integrations): Experience with payment gateways, e-signature, logistics APIs, mapping and geolocation integrations

This is a remote position.

About Leegality:

Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.

We have multiple products across 2 categories:

Document Infrastructure:

Products that help businesses build paperless processes at scale:

1. Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
2. Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts
3. Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner

Consent Infrastructure:

1. Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
2. Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.

If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.

Curious about our impact? Explore our customer success stories: leegality.com/case-studies

Our Culture

At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.

We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:

• Flexible working hours
• Hybrid work setup
• Bi-annual performance appraisals
• A culture that rewards initiative, curiosity, and impact

If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.

Location: Hybrid

Role Overview

We are looking for a Technical Lead – Python to lead the design, development, and evolution of scalable backend systems that power Leegality's products. This role combines hands-on backend development with technical leadership, enabling you to influence architecture, mentor engineers, and drive engineering excellence across the team.

You will work closely with Product, Design, QA, DevOps, and other engineering teams to build reliable, secure, and high-performance applications while fostering a culture of ownership, collaboration, and continuous improvement.

Key Responsibilities

• Lead the design, development, and maintenance of scalable backend applications using Python.
• Own the technical architecture of backend systems, ensuring scalability, reliability, maintainability, and security.
• Design, develop, and optimize RESTful APIs and microservices for high-performance applications.
• Drive architectural decisions, establish engineering best practices, and promote clean, maintainable code.
• Conduct code reviews and mentor engineers through technical guidance, pair programming, and knowledge sharing.
• Lead technical estimation, sprint planning, solution design, and execution for engineering initiatives.
• Optimize application performance through database tuning, caching, asynchronous processing, and efficient system design.
• Ensure high code quality through unit testing, integration testing, CI/CD pipelines, and automated deployment practices.
• Troubleshoot and resolve complex production issues while driving root cause analysis and long-term improvements.
• Evaluate and adopt new technologies, frameworks, and engineering practices to continuously improve the platform.
• Build and foster a high-performing engineering culture focused on collaboration, accountability, innovation, and continuous learning.

Desired Skills

• 7–11 years of experience in backend software development, with at least 2–4 years in a technical leadership role.
• Strong proficiency in Python and object-oriented programming concepts.
• Hands-on experience with Python frameworks such as Django, Flask, or FastAPI.
• Strong understanding of RESTful API design and development, authentication mechanisms (JWT/OAuth), and API security best practices.
• Experience designing scalable backend architectures, distributed systems, and microservices.
• Strong knowledge of relational databases such as MySQL or PostgreSQL, with experience in query optimization, indexing, and schema design.
• Exposure to NoSQL databases such as MongoDB and caching technologies like Redis.
• Experience with cloud platforms such as AWS, containerization using Docker, orchestration using Kubernetes, and CI/CD pipelines.
• Strong understanding of software engineering best practices, including design patterns, SOLID principles, code reviews, testing, and documentation.
• Experience with version control systems such as Git and modern development workflows.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.
• Ability to balance hands-on development with technical leadership and delivery ownership in a fast-paced product environment.
• Experience working in SaaS or product-based organizations is preferred.
• Exposure to AI-assisted development tools such as GitHub Copilot, Cursor, or ChatGPT is an added advantage.

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

About the Company

As the world moves toward AI-native applications, one element matters more than anything: data.

We are building a platform that helps organizations unlock the value hidden within customer feedback. By centralizing data from multiple sources—including CRM platforms, support systems, collaboration tools, surveys, community forums, and customer conversations—into a unified intelligence layer, we enable teams to understand customer needs and make better product decisions.

Built on top of this foundation is an AI-powered platform that allows teams to query, monitor, and act on customer intelligence directly within their workflows. Our customers include some of the fastest-growing product-led technology companies as well as large global enterprises.

Backed by leading global venture capital firms, our engineering culture is AI-native from the ground up. Agents, LLMs, and applied machine learning are not side projects—they are central to how we build products. We operate at the cutting edge of agentic systems and continuously push the boundaries of what modern AI applications can achieve.

What You Will Do

• Convert product direction into phased technical plans, including estimates, milestones, dependencies, and risk assessments.
• Make thoughtful trade-offs across correctness, latency, user experience, AI/model behavior, reliability, cost, and delivery speed.
• Define clear ownership boundaries across frontend applications, BFF layers, backend services, agent workflows, ML platforms, and data contracts.
• Review ERDs, PRDs, design documents, and implementation plans to identify gaps before they become execution challenges.
• Drive planning and execution for complex initiatives while empowering area leads and senior engineers to maintain ownership.
• Partner closely with Product, Design, Engineering, and GTM teams to turn ambiguous problem statements into executable solutions.
• Influence technical direction through strong engineering judgment, architectural leadership, and hands-on involvement.
• Mentor senior engineers and contribute to engineering excellence through reviews, incident analysis, and proactive risk management.

What It Takes

• 9+ years of experience as a Senior Engineer, Technical Lead, or equivalent role.
• Demonstrated experience owning architecture and execution for large-scale product or platform initiatives spanning multiple teams.
• Strong foundation in distributed systems and modern software architecture.
• Exposure to agentic AI systems, machine learning engineering, MLOps platforms, and frontend/BFF architectures.
• Ability to own end-to-end product and technical problems rather than specializing exclusively in a single layer of the stack.
• Proven track record of converting ambiguity into actionable engineering plans.
• Excellent written communication skills, including design documentation, architectural reviews, trade-off analyses, and RCA documentation.
• Ability to challenge requirements constructively and collaborate effectively across Product, Design, Engineering, and GTM functions.
• High ownership mindset, attention to detail, and a low-ego, collaborative approach.

Technical Architect – Product Engineering

Experience: 15+ Years

Location: Pune, India

Employment Type: Full-time

Desired Skills: Python, Technical Architecture, AWS, Microservices, SaaS / Multi-tenant Architecture, Kubernetes, System Design

About the Role

We are looking for a Senior Technical Architect to lead the architecture, design, and technical evolution of an enterprise SaaS product. This is a hands-on leadership role requiring deep technical expertise, strong product engineering experience, and the ability to build scalable, secure, and high-performance platforms.

The ideal candidate should be passionate about solving complex engineering problems, driving innovation, mentoring development teams, and effectively leveraging AI to accelerate software development.

Key Responsibilities

• Own the overall product architecture and technical roadmap.
• Design and build scalable, secure, and highly available enterprise applications.
• Lead the design and implementation of new product features from concept to production.
• Remain hands-on with coding and contribute to critical product components.
• Drive architecture reviews, code quality, performance optimization, and engineering best practices.
• Lead cloud architecture, security, scalability, and DevOps initiatives.
• Evaluate and adopt modern technologies to improve product capabilities and engineering efficiency.
• Leverage AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, etc.) to accelerate software development, code reviews, testing, documentation, debugging, and productivity.

Required Skills & Qualifications

• 15+ years of software product engineering experience with at least 5 years in a Technical Architect role.
• Strong hands-on expertise in Python and modern backend frameworks.
• Deep experience with AWS services and cloud-native application architecture.
• Strong understanding of DevOps, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), Docker, Kubernetes, and container orchestration.
• Experience designing microservices, REST APIs, event-driven architectures, and distributed systems.
• Strong knowledge of SQL and NoSQL databases.
• Experience with scalable SaaS platforms, multi-tenant architectures, and secure application design.
• Excellent understanding of software design patterns, performance tuning, observability, and system reliability.
• Strong analytical, problem-solving, and decision-making skills.