AI/ML Solution Engineer

Job Description:

About the company : www.Alphaabets.com

Alphaabets is a Digital Twin Consulting & Implementation company delivering engineering solutions focused on Design/CAE using CATIA, SIMULIA, Digital Manufacturing (DELMIA) , PLM, Machine learning & AR/VR.

Transport & Mobility – across Automotive (Traditional Auto, EV) , Aerospace & Shipbuilding

Education - Industry 4. 0 Learning & Startup – for Core Engineering Disciplines – Aerospace, Mechanical, Automotive and Civil & Structural.

Infrastructure & Cities – Urban planning, Integrated Design & Construction Planning , BIM 4D/5D

JOB Role : AI/ML Solution Analyst

Role Overview

You will join the AI engineering team to help design, build and deploy agentic AI workflows and generative AI applications. You’ll work with LLMs, retrieval-augmented generation (RAG), vector databases, tool-calling agents (via n8n or other orchestration), and integrate them into production systems. Expect to learn fast, contribute small modules early, and ramp up into owning components.

Job Requirement

• Develop and integrate generative AI models and workflows: fine-tune LLMs, build prompt chains, deploy APIs.
• Build agentic workflows: multi-agent orchestration, tool invocation, memory/knowledge management, context handling.
• Use automation/orchestration tools (e.g., n8n, Airflow, Prefect) to connect agents, external services/APIs, and data flows.
• Construct RAG pipelines & vector search: embed documents, build retrieval systems, integrate with LLMs.
• Collaborate with product/data/backend teams to build scalable, reliable AI systems.
• Monitor and optimize performance: latency, cost, accuracy, throughput.
• Stay current with new generative/agentic frameworks and incorporate them.

Skills & Qualifications (for 1-2 years exp)

Must-Have:

• Bachelor’s in Computer Science/Engineering or equivalent.
• ~1-2 years of experience in software/AI engineering (could include internships/projects).
• Programming proficiency in Python.
• Basic experience or strong interest in LLMs, prompt engineering, Generative AI.
• Familiarity or willingness to learn agentic/automation tooling (n8n, LangChain, Autogen, etc.).
• Understanding of or interest in vector databases/RAG (Pinecone, Chroma, Qdrant) and retrieval workflows.
• Good communication skills and ability to learn in a fast-paced environment.

Nice‐to‐Have:

• Prior hands-on project with LLMs or generative AI in a startup/product setting.
• Exposure to orchestration/automation tools like n8n, Airflow, Prefect or low-code workflows.
• Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker).
• Experience with frontend/back-end integration (e.g., FastAPI, Flask).
• Knowledge of agentic frameworks, multi-agent coordination, memory management in agents (even academic/hobby projects).

Looking for immediate joiners

Location : Bengaluru

Salary : 4,00,000 – 5,00,000

Job Type: Full-time

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Experience: total work: 2 years (Preferred)

Education: Bachelors (Required)

Job Type: Full-time

Pay: ₹400,000.00 - ₹500,000.00 per year

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Application Question(s):

• How many years of experience do you have
• What is your current location? (Bengaluru required)
• What is your current/last CTC (Per Annum)
• What is your notice period (In days)
• 2 years of Service Agreement will be applicable (Yes/No)

Education:

• Bachelor's (Required)

Work Location: In person