Delivery Lead (AI)
Bengaluru, Karnataka, India
- Remote-first
- Website
- @weekdayworks đ
- Search
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Salary range: Rs 4000000 - Rs 6000000 (ie INR 40-60 LPA)
Min Experience: 6 years
JobType: full-time
What Weâre Looking For
Youâre a strategist, a builder, and a leader. You donât just solve technical problemsâyou drive the successful execution of complex, high-impact projects. You know how to align business goals with engineering execution, manage stakeholder expectations, and lead elite teams toward outcomes that matter. You bring a strong track record of shipping scalable systems and thrive on owning the full delivery lifecycle.
Youâre not here for just another roleâyouâre looking to build something lasting.
Requirements
What Youâll Do
As a Delivery Lead, you will:
- Take full ownership of delivering multiple high-stakes client engagementsâfrom discovery and planning to deployment and beyond.
- Lead and mentor a team of 2â3 Senior Software Engineers, promoting a culture of speed, accountability, and technical excellence.
- Act as the key liaison for senior client stakeholders (Founders, CXOs), ensuring strong relationships and clear alignment between client goals and technical delivery.
- Drive agile project management practicesâdefining roadmaps, managing risks, ensuring deadlines are met, and project objectives are achieved.
- Guide the technical strategy, ensuring sound system architecture and engineering trade-offs that meet real business needs.
- Deliver AI-powered products that create tangible impact, while also establishing repeatable, scalable delivery processes.
Why This Role Is Special
- Strategic Influence: Go beyond executionâplay a core role in shaping product and client strategy on critical AI projects.
- Fast-track Leadership: Direct mentorship from the founding team with a clear path to partnership and long-term equity opportunity.
- Elite Talent & Culture: Join a world-class engineering culture built on autonomy, ownership, and innovation.
- Meaningful Impact: Build AI systems that donât just automateâthey redefine how entire industries operate.
- Career Launchpad: Whether you grow internally or move on, youâll be positioned for leadership roles like Director, VP Engineering, or CTO at top global tech companies.
Types of Projects Youâll Lead
- AI Freight Broker: Lead the development of a generative AI-powered freight matching platform that autonomously pairs demand with supply and fixes rates in real time.
- Investor Copilot: Collaborate with financial institutions to develop systems that generate customized research and insights for investors and analysts.
- AI Career Coach: Manage delivery of a multi-agent platform offering resume building, job discovery, mock interviews, and personalized career advice via a single chat interface.
Core Competencies
To succeed in this role, you must demonstrate strong project and delivery management skills, including mastery of agile methodologies, roadmap planning, resource allocation, and the ability to ensure high-quality, on-time outcomes. Equally important is stakeholder managementâyouâll be expected to build trust with senior clients, align technical solutions with business goals, and communicate progress effectively. Team leadership is also crucial, as youâll guide and mentor a team of senior engineers, foster a culture of ownership, and remove roadblocks to performance. You should have a deep understanding of system design and architecture, enabling you to make informed trade-offs and build scalable, robust systems. Finally, your technical proficiency should allow you to lead with credibility, contribute to problem-solving, and ensure sound engineering practices across the board.
Technical Requirements
- Languages & Frameworks: Proficient in Python with strong hands-on experience using Django (Must Have)
- Cloud Infrastructure: AWS (EC2, S3, RDS, Lambda, etc.) (Must Have)
- Databases: PostgreSQL (Must Have)
- APIs: Flask or FastAPI (Should Have)
- LLMs: Experience with LLMs and Langchain for agent orchestration (Should Have)
- Frontend: Familiarity with HTML/CSS/JavaScript or React (Nice to Have)
Qualifications
- 8+ years of professional experience in software engineering and technical delivery roles.
- B.Tech. or M.Tech. in Computer Science or related fields (preferred from Tier 1 institutes such as IITs, NITs, BITS, etc.).
- Proven experience managing engineering teams and leading end-to-end delivery of complex projects.
- Bonus if youâve worked in consulting, client-facing roles, or high-growth startup environments.
- Passion for building impactful AI applications and designing scalable system architectures.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Agile APIs Architecture AWS Computer Science Consulting Copilot Django EC2 Engineering FastAPI Flask Generative AI JavaScript Lambda LangChain LLMs PostgreSQL Python React Research
Perks/benefits: Career development Equity / stock options Salary bonus
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