Job Description:
About the company : www.Alphaabets.com
Alphaabets is a Digital Twin Consulting & Implementation company delivering engineering solutions focused on Engineering AI
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 ( GEN AI/AGENTIC AUTOMATION)
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
- Exp in GEN AI/IMAGE or VIDEO or AGENTIC AI
- 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 2-4 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: ₹600,000.00 - ₹800,000.00 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:
Work Location: In person
