Ai Engineer

Year    Remote, IN, India

Job Description

Job Title :

AI Engineer

Experience

: 2+ years of experience

Location :

Remote (India)

Salary

: Competitive as per industry standards

About Optimiser



Optimiser is a Business Intelligence platform offering 360-degree business solutions to organisations of all sizes. At Optimiser we have our eyes set on ambitious goals. We work in a fast-paced environment with a team of talented and dedicated individuals who collectively contribute advanced technological solutions for our clients. We embrace diversified talent with teams based in the UK, India, and Dubai. With a vision to bring a simple yet high-end customer engagement platform to our valued clients, we are making a mark globally.

Job Summary:



AI Engineer - Product Integration (LLMs & ML Systems)



We are seeking a

hands-on AI Engineer

with proven experience in building, fine-tuning, and deploying Large Language Models (LLMs) and Machine Learning (ML) systems in production. This is not a research role -- we're looking for someone who can turn models into scalable features, deeply integrated within our

Optimiser CRM

platform.

You'll lead initiatives that turn AI into real value: automating workflows, enriching CRM data, and enhancing decision- making across our client base. This role requires strong engineering fundamentals, model fluency, and the ability to build reliable AI solutions in a multi-tenant environment.

Key Responsibilities:



AI/ML Development



Design and fine-tune LLMs and ML models for specific CRM workflows.

Build and optimize data pipelines for training, inference, and evaluation.

Implement retrieval-augmented generation (RAG) and context injection strategies.

Production Integration



Package and deploy models into scalable production systems.

Develop APIs and microservices for AI-powered features.

Monitor model behavior in production; use telemetry to drive continuous improvement.

Architecture & Compliance



Ensure AI features adhere to multi-tenant data isolation and privacy standards.

Collaborate with product and backend teams to align AI systems with Optimiser's architecture.

Implement access control, audit logging, and performance monitoring for AI services.

Qualifications:


2+ years

of experience shipping ML/LLM features in a production environment.

Strong Python development skills and hands-on experience with ML/LLM libraries (e.g., PyTorch, TensorFlow, LangChain, Hugging Face).

Practical understanding of vector search, embeddings, and retrieval systems (e.g., Pinecone, FAISS, Weaviate).

Experience deploying models as part of SaaS applications, especially in privacy-sensitive environments.

Clear understanding of the ML lifecycle: from development to monitoring and iteration.

Preferred (Not Mandatory)



Exposure to prompt engineering and model evaluation techniques.

Experience with fine-tuning LLMs or working with tools like LoRA, PEFT, or RAG pipelines.

Familiarity with agent-based orchestration (e.g., LangChain agents, semantic routers).

Understanding of MLOps (model versioning, deployment automation, rollback strategies).

Industry:

Information Technology and services

Employment Type:

Full-time

If you would like to pursue this opportunity further, please send in your CV to careers@optimiser.com.with following details-

Current CTC-



Expected CTC-



Notice Period-



Job Types: Full-time, Permanent

Benefits:

Leave encashment Paid sick time Provident Fund Work from home
Schedule:

Day shift Fixed shift Monday to Friday Morning shift
Application Question(s):

What is your Current CTC (Please mention exact figure per annum) ? How many years of experience do you have? What is your expected CTC? What is your Notice Period ? (Please mention in days)
Work Location: Remote

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Job Detail

  • Job Id
    JD3826830
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Remote, IN, India
  • Education
    Not mentioned
  • Experience
    Year