Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 39 days ago

Senior Technical Lead - Generative AI

Workable (global search)108,016 open roles

Where
India
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Technical Lead - Generative AIWorkable (global search) · India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 39 days ago

Workable (global search) median: 7 days open

The posting

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟱𝟬 𝗟𝗣𝗔)

Experience: 10+ yrs

Location: Remote (India)

Job Type: Full-time

We are looking for a highly experienced Senior Technical Lead – Agentic AI / Generative AI to own the architecture, technical direction, and delivery of production-grade AI solutions. This is a hands-on leadership role for someone who can move seamlessly from early-stage experimentation and prototyping to scalable enterprise production systems.

You will design and build LLM-powered agentic systems, RAG architectures, multi-agent workflows, and AI applications, while mentoring a team of AI/ML and backend engineers. You will also work closely with Product, Data, Platform, Security, and other stakeholders to turn emerging GenAI capabilities into reliable, scalable, and business-ready solutions.

Requirements

Key Responsibilities

AI Architecture & Development

  • Architect and develop Agentic AI and Generative AI systems from concept through production.
  • Build multi-step reasoning agents, tool/function-calling workflows, and multi-agent architectures using frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestration.
  • Design and productionize scalable RAG pipelines, including chunking, embeddings, vector search, and hybrid retrieval.
  • Evaluate and select foundation models based on performance, accuracy, latency, cost, and business requirements.
  • Develop strategies for prompt engineering, model routing, fine-tuning, and optimization.

Production Engineering

  • Own technical architecture decisions for scalable, reliable, and cost-efficient LLM applications.
  • Establish engineering standards covering testing, evaluation, observability, guardrails, hallucination mitigation, and production monitoring.
  • Design APIs, microservices, and cloud-native architectures supporting AI applications at scale.
  • Drive AI/LLMOps practices across model lifecycle management, deployment, monitoring, and continuous improvement.

Technical Leadership

  • Lead, mentor, and develop AI/ML and backend engineers.
  • Conduct technical design reviews, architecture discussions, and code reviews.
  • Establish engineering best practices and promote high standards for production AI development.
  • Provide technical direction while remaining actively involved in complex engineering problems.

Cross-Functional Collaboration

  • Partner with Product, Data Science, Platform, Security, and Compliance teams to deliver AI solutions aligned with business objectives.
  • Ensure AI systems meet appropriate privacy, security, compliance, and responsible-AI requirements.
  • Communicate complex technical concepts clearly to senior leadership and business stakeholders.
  • Represent the AI engineering function in strategic discussions around GenAI technology and roadmap decisions.

What's Makes You a Great Fit

  • 10+ years of overall software engineering experience, including 4+ years working directly with AI/ML systems.
  • At least 2+ years of hands-on experience building and deploying LLM-based or agentic AI applications in production.
  • Deep expertise in LLM application development, RAG, embeddings, vector databases, prompt engineering, and AI agents.
  • Practical experience with multi-agent systems, tool/function calling, memory management, planning, and reasoning workflows.
  • Strong Python and software engineering fundamentals with experience building scalable, distributed, production-grade systems.
  • Experience with APIs, microservices, cloud-native architecture, and at least one major cloud platform such as AWS, Azure, or GCP.
  • Hands-on experience with MLOps/LLMOps tools such as MLflow, LangSmith, Weights & Biases, or equivalent platforms.
  • Working knowledge of LLM fine-tuning and evaluation techniques, including LoRA/PEFT, RLHF concepts, and offline/online evaluation frameworks.
  • Proven ability to provide technical leadership, mentor engineers, own architecture decisions, and collaborate across teams.
  • Strong communication skills with the ability to translate complex technical concepts into clear business and executive-level discussions.

Good to Have

  • Experience deploying and fine-tuning open-source models such as Llama or Mistral, alongside proprietary models/APIs.
  • Contributions to AI/GenAI open-source projects, technical publications, or conference presentations.
  • Experience building AI solutions within regulated industries such as finance, healthcare, or telecom.
  • Knowledge of AI guardrails, red-teaming, responsible AI, and model safety/evaluation frameworks.
  • Previous formal people-management experience.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.