Service Delivery Consultant

Summary

We are looking for an exceptional AI-native full-stack product engineer who can take product specs, prototypes, or PRDs and turn them into clean, tested, QA’d, merge-ready branches.

We are building a fast-moving software company and currently use AI coding tools heavily in our development workflow. Right now, the delivery process is: prototype review, spec clarification, implementation planning, AI-assisted coding, QA, checking what was actually built, and preparing features for final merge.

We want to have this entire workflow managed by the right engineer.

Your job will be to take a feature brief, PRD, prototype, or Loom walkthrough and own the process from:

Input → clarification → implementation plan → AI-assisted build → self-review → QA → PR → merge-ready branch.

We are looking for someone who can take ownership, not create more management work.

What You’ll Do

You will be responsible for:

• Reviewing PRDs, prototypes, tickets, or Loom walkthroughs
• Asking clear, batched clarification questions
• Creating concise implementation plans before coding
• Using AI coding tools to accelerate development
• Reviewing and improving AI-generated code
• Building full-stack product features
• Writing or updating tests where appropriate
• Running QA before handing work over
• Creating clean, reviewable pull requests
• Documenting what was built, what changed, and what risks remain
• Preparing branches that are actually ready to merge
• Communicating clearly and asynchronously

What “Done” Means

A feature is not done when the code is written. A feature is done when:

• The implementation matches the PRD/prototype
• Acceptance criteria are completed
• Code is clean and understandable
• Build/lint/type checks pass
• Relevant tests are added or updated
• Manual QA has been completed
• Screenshots or Loom walkthrough are provided when relevant
• PR description is clear
• Risks, assumptions, and deviations are documented
• The branch is ready for review/merge

Ideal Candidate

You are probably a strong fit if you are:

• An experienced full-stack engineer with strong product judgment
• Experienced with AI coding tools such as Claude Code
• Comfortable taking a vague product idea and turning it into a working feature
• Able to review AI-generated code critically
• Strong with GitHub PR workflows
• Detail-oriented with good QA discipline
• Clear in written communication
• Comfortable working in a fast-moving startup environment
• Able to work independently without needing constant hand-holding
• Good at asking the right questions early

You Are Not a Fit, please do not apply if:

• You blindly trust AI-generated code
• You need every task broken down into tiny instructions
• You say “done” without testing your work
• You create large messy PRs
• You cannot explain your own code
• You are only comfortable with narrow frontend or backend tasks
• You are not comfortable with ambiguity
• You dislike writing implementation plans or QA notes
• You require constant synchronous direction

Required Skills

Please include your experience with:

• Full-stack web development
• Frontend frameworks
• Backend/API development
• Git/GitHub
• Pull request workflow
• Testing and QA
• AI-assisted coding tools
• Debugging and self-review
• Product-focused software development
• Nice to Have
• Startup experience
• Experience as a founding engineer or product engineer
• Strong UX/product taste
• Experience with automated testing
• Experience with CI/CD
• Experience with preview deployments
• Experience turning Figma/prototypes into production features
• Experience working directly with founders

How We Work

We will usually provide one or more of:

• PRD
• Prototype
• Figma
• Loom walkthrough
• Linear/Jira/Notion ticket
• Product brief
• Screenshots
• Existing codebase

You will be expected to return:

• Clarifying questions, if needed
• Implementation plan
• Branch/PR
• QA notes
• Test results
• Screenshots/Loom if relevant
• Clear summary of what was built
• Any risks, tradeoffs, or unresolved questions

Trial Task

We will start with a paid trial task.

The trial will involve a small real feature or product improvement. You will be asked to:

• Review the brief/prototype
• Write a short implementation plan
• Build the feature
• QA it
• Open a clean PR
• Provide a Loom or written walkthrough
• Document assumptions, risks, and anything not completed

We are not just evaluating whether the code works. We are evaluating whether you can own the delivery process end-to-end and how well you leverage AI.

What Success Looks Like

Success means the team can give you a PRD or prototype and receive back a merge-ready branch without needing to manage every step.

Great output looks like:

“I reviewed the feature brief, found two ambiguities, made reasonable assumptions, implemented the core flow, added tests, QA’d happy path and edge cases, documented one tradeoff, and the branch is ready for review. Management's input is only needed on this one product decision.”

Preference will be given to candidates who can work with high ownership and potentially become a long-term product engineering partner.

To Apply, please consider answering the following questions:

• What AI coding tools do you use regularly, and how do you use them?
• Walk us through your process for turning a PRD or prototype into a merge-ready branch.
• How do you QA your own work before asking for review?
• What are the biggest risks of AI-generated code?
• Share an example of a PR, project, or product feature you built that you are proud of.
• What stack are you strongest in?
• Are you comfortable doing a paid trial task?
• What does “merge-ready” mean to you?

AI & ML (45 Days – Live Hands‑On)

Program Fee: ₹25,000

Duration: 45 Days

Mode: Hybrid (Online Sessions + Live Lab Access)

Eligibility: Freshers, Final‑Year Students, and Career Switchers

About the Internship

This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.

Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:

• Cloud/Infra Engineer
• DevOps Engineer
• Security Analyst
• AI/ML Engineer
• Site Reliability Engineer (SRE)

Key Highlights

• 45 days of practical, mentor-led training
• Live production-style projects and deployments
• Hands‑on experience with:
• AWS / Azure Cloud
• Terraform, CI/CD, Docker, Kubernetes
• Security Hardening & IAM
• Python ML pipelines & model deployment
• Architect & deploy real systems using best practices
• Build portfolio-ready projects
• Receive an industry-recognized Internship Certificate

What You Will Learn

1️⃣ Cloud Infrastructure & DevOps

• Cloud fundamentals (AWS/Azure/GCP)
• Linux administration & scripting
• VPC, Subnets, Routing, NAT, Firewalls
• EC2 provisioning & autoscaling
• Load balancing & High Availability
• Terraform for Infrastructure as Code
• CI/CD pipelines using Jenkins / GitHub Actions
• Docker containerization & Kubernetes basics

2️⃣ Cybersecurity & Cloud Security

• IAM roles, policies, access control
• Server security & hardening
• SSL/TLS, encryption, key management
• Secure VPC & subnet design
• Threat detection & logging
• Secrets management
• Network segmentation & firewall best practices

3️⃣ AI & Machine Learning

• Python for ML
• Supervised and unsupervised algorithms
• Data preprocessing & model training
• Model evaluation & optimization
• Build ML inference APIs using FastAPI/Flask
• Containerize and deploy ML models to cloud
• Integrate monitoring for ML workflows

✅ Live Hands‑On Projects

Interns will work on real-world, production-grade projects such as:

• Deploy a secure 3‑tier web application on cloud
• Automate infra provisioning using Terraform
• Build CI/CD pipelines for automated deployments
• Harden servers & configure security groups, IAM
• Develop and deploy an ML model as a cloud API
• Create monitoring dashboards with Prometheus/Grafana
• End-to-end system deployment with logging and alerting

Each intern will complete a Capstone Project and present it during the final evaluation.

✅ Internship Deliverables

1. Internship Completion Certificate
2. 3+ Production‑level projects
3. GitHub portfolio with all code and deployments
4. Cloud & ML documentation
5. Resume enhancement and guidance
6. Career mentoring + interview preparation

✅ Who Should Apply

This internship is ideal for:

• Fresh graduates
• Final‑year engineering or IT students
• BSc, BCA, MCA, B.Tech learners
• Professionals switching careers to Cloud/DevOps/AI
• Anyone seeking hands‑on, real‑time industry experience

✅ Program Fee

₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)

✅ Certificate Provided

All participants will receive a verified Internship Certificate, including:

• Candidate Name
• Internship Duration & Dates
• Skills Covered
• Project Evaluation Score
• Authorized Signatory & Company Seal

Act as the primary liaison between the agency and clients, building and maintaining strong relationships.

Understand client business objectives, marketing goals, and brand requirements to translate them into actionable briefs.

Manage end-to-end execution of campaigns across digital, print, OOH, social media, influencer, and experiential platforms.

Collaborate with creative, strategy, and media teams to deliver campaigns that meet client expectations.

Prepare and present proposals, campaign reports, and performance reviews.

Ensure projects are delivered on time, within budget, and to the highest quality standards.

Proactively identify opportunities for upselling and cross-selling agency services.

Handle client escalations with professionalism and problem-solving skills.

Keep track of industry trends, competitor activities, and innovations to advise clients with fresh ideas.

About BiteSpeed

Hey there! We are a Sequoia-backed SaaS startup building an AI-native Marketing, Support & Sales suite for e-commerce brands.

We’re currently working with 2500+ e-commerce brands globally across 50+ countries and are fortunate to have raised $5.5M+ along the journey with marquee investors like Sequoia Capital India, Kunal Shah, Gaurav Munjal & more backing us.

About the role

Our product function so far has been founder-led largely built on internal tribal knowledge. Given our multi-product DNA, there is now increasing breadth and depth in our products with each product taking a life of its own and we see value to bringing some order to the chaos with this role :).

This role is as early-stage product as it gets. Morning stand-ups, scrambling through customer conversations during the day, data digging in the evenings and finally getting to those PRDs at night! The role is also at an interesting intersection of B2B SaaS customer conversations and B2C experimentation given our space.

What you’ll do

• Own and drive the product roadmap, including product decisions, prioritisation and execution.
• Lots of user interviews & speaking to sales and CS teams to inform product decisions.
• Create detailed product specification documents for the design & development team.
• Work closely with design teams to go from ideas to user flows.
• Work closely with engineering on product delivery.
• Querying databases and monitoring dashboards to track product metrics.
• Research the market and competitive landscape to have a pulse of market direction.

What makes you a good fit

• 2+ years of product management experience (B2B SaaS not necessary).
• Comfortable with early stage startup imperfections and able to operate in disorder.
• Rigour, thoroughness and detail-orientation in thought and action.
• Extremely high agency and adaptability.
• Willingness to get hands dirty with data, customer interviews and so on.
• Some recent experience dabbling into LLMs (nice to have, but not a deal-breaker).

Salary and Location

Location: Bangalore

Expected CTC: We pay top of market for the right folks and also offer generous equity (ESOP) to everyone in the team

Responsibilities:

• Design and develop user-friendly, robust, and scalable Flutter/Android/iOS applications.
• Collaborate with product managers, designers, and backend developers to understand requirements and translate them into functional applications.
• Implement clean and efficient code following best practices, coding standards, and design patterns specific to mobile development.
• Ensure high performance, responsiveness, and stability of the applications by conducting thorough testing and debugging.
• Integrate RESTful APIs to fetch and send data from/to the backend servers.
• Work with SQLite or other database technologies to implement data persistence in mobile applications.
• Implement effective UI/UX designs following Material Design guidelines to ensure a smooth and intuitive user experience.
• Collaborate with the team to identify and implement solutions to improve application performance, maintainability, and user engagement.
• Stay up-to-date with the latest trends, technologies, and best practices in mobile development and share knowledge with the team.
• Assist in troubleshooting and resolving issues reported by users or clients, providing timely and effective solutions.

Proven graphic designing experience - 

•  A strong portfolio of illustrations or other graphics
•  Familiarity with design software and technologies (such as Adobe XD, Illustrator, Dreamweaver, Photoshop)
•  A keen eye for aesthetics and details
•  Excellent communication skills
•  Ability to work methodically and meet deadlines
•  Degree in Design, Fine Arts or related field is a plus