AI/ML Engineer

AI/ML Engineer (Generative AI & LLMs)

Experience: 3 - 6 Years Exp,

Salary : INR 15-40 Lacs per annum

Preferred Notice Period: Within 30 Days

Shift: 10:00AM to 7:00PM IST

Opportunity Type: Onsite (Bengaluru)

Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

Machine Learning, Python, LLM, MLOps

Lucio (One of Uplers' Clients) is Looking for:

AI/ML Engineer (Generative AI & LLMs) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

Job Title: AI Engineer

About Lucio:

We are a Series-A funded AI product startup transforming the legal industry with generative AI. Were a rapidly growing team with a truly innovative product already being used by top law firms in India, including S&R Associates, Luthra & Luthra, and Trilegal. Our platform assists lawyers with legal analysis, document review, due diligence, risk identification, judgment comparisons, and more.

We're building a team of talented developers who are passionate about building products that solve real-world problems. At Lucio, you'll work on powerful AI-driven products where youll work on end-to-end AI systems from fine-tuning diffusion/LLM models and building ML pipelines to deploying large-scale backend services that power real-world applications.

Responsibilities:

AI Engineering

Develop, fine-tune, and deploy state-of-the-art models (LLMs, GANs, Diffusion, OCR).

Apply model quantization, optimization, and edge deployment to make AI fast, cost-efficient, and production-ready.

Build and scale ML pipelines with MLOps best practices (Docker, CI/CD, cloud deployment).

Prototype quickly and translate AI research into real-world product features.

Backend Systems

Design and maintain scalable backend services in Python (Flask, FastAPI, Celery, Gevent).

Integrate ML models into distributed systems and APIs that serve thousands of users.

Optimize infrastructure for latency, performance, and cost.

Collaboration & Impact

Partner with researchers, product managers, and frontend teams to ship AI-first experiences.

Solve complex problems in legal document understanding, NLP, and computer vision.

Contribute to code reviews, mentor peers, and push for engineering excellence.

Who You Are

4+ years of experience in AI/ML engineering with exposure to backend systems.

Strong Python skills, with experience in PyTorch, TensorFlow, Hugging Face, Diffusers.

Hands-on expertise in GANs, Diffusion models, and LLM fine-tuning (LoRA, quantization, pruning).

Experience deploying scalable ML pipelines (GCS/AWS, Pub/Sub, Kubernetes, Docker, CI/CD).

Comfortable working with asynchronous task queues, APIs, and distributed applications.

Bonus: OCR tools, document AI, or prior work in legal-tech.

Startup mindset: ownership-driven, adaptable, and excited to build at scale.

Pay and Benefits:

Competitive salary based on experience.

Unlimited leaves (including sick leaves, period leaves, and more).

Inclusive, diverse, and innovation-first work culture.

Our hiring process will have 4 stages: 3 technical interviews and a culture-fit interview.

To apply: Submit this technical puzzle with us, if you have done Hack The Box or CTF challenges, you might find it interesting.

How to apply for this opportunity:

Easy 3-Step Process:

1. Click On Apply And Register or log in on our portal

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview

About Our Client:

AI powered document automation platform

About Uplers:

Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.

With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.

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