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

Open nowPosted 46 days ago

AI/ML Engineer

Agilisium4 open roles

Where
Chennai, Tamil Nadu, India
Get the CV for this job

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

Your applicationOpen nowAI/ML EngineerAgilisium · Chennai, Tamil Nadu, 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 Agilisium'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.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 46 days ago

The posting

Required Qualifications We’re looking for a Senior GenAI / AI-ML Engineer with strong hands-on experience in designing and deploying production-grade Generative AI solutions. Join our Inperson walkin Drive on 19th Sept'26,If you are excited for this role below are details for your reference Wakin Date:19th Sept'26(Saturday) Walkin TIme-10.30AM-3.00PM Venue:World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096 Experience Range: 4-10 Years Must-have skills: Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field (Master’s preferred). 5+ years of experience in AI/ML, with significant hands-on experience in Generative AI and LLM-based applications. Strong hands-on experience with Generative AI / Large Language Models (LLMs), including model integration, evaluation, optimization, and deployment. Strong expertise in Python and experience building scalable AI applications and services. Hands-on experience with LangChain and LangGraph for developing LLM-powered applications, workflows, and AI agents. Strong experience building Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embeddings, retrieval, reranking, context management, and response generation. Strong hands-on experience with FastAPI for developing and exposing AI/ML services and APIs. Experience working with LLM APIs and model providers such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, Gemini, or equivalent. Good understanding of prompt engineering, embeddings, vector search, and LLM evaluation. Experience integrating GenAI solutions with SQL/NoSQL databases, vector databases, and enterprise data sources. Strong understanding of cloud platforms such as AWS, Azure, or GCP and their AI/ML services. Understanding of MLOps, model lifecycle management, deployment, monitoring, and productionization of AI solutions. Strong problem-solving, communication, and collaboration skills, with the ability to work with cross-functional teams. Preferred Skills Model Context Protocol (MCP) experience, including building or integrating MCP servers/tools with LLM applications or AI agents. Experience developing AI Agents / Agentic AI workflows using LangGraph or similar frameworks. Experience with multi-agent systems, tool calling, function calling, and structured outputs. Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or FAISS. Experience with LLM fine-tuning, LoRA/PEFT, or model optimization. Experience with Docker, Kubernetes, CI/CD, and cloud-native deployments. Strong understanding of AI security, data governance, responsible AI, and enterprise GenAI architecture. Life Sciences / Pharma / Healthcare domain expertise is highly desirable. Experience integrating GenAI solutions into production-level enterprise applications.

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 Agilisium'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 Agilisium'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

    Agilisium'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.