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 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. Youll 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 AIDevelop 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: Bachelors 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.NicetoHave: 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 insurancePaid sick timePaid time offProvident FundExperience: total work: 2 years (Preferred) Education: Bachelors (Required) Job Type: Full-time Compensation: 600,000.00 - 800,000.00 per year Benefits: Health insurancePaid sick timePaid time offProvident FundApplication Question(s): How many years of experience do you haveWhat 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 .