Key Responsibilities

A. LLM & Generative AI Solution Build

• Design and build LLM-powered components — RAG pipelines, document intelligence, summarisation,

classification, extraction, and conversational agents — across multiple solution concepts in parallel.

• Develop agentic workflows using tool calling, multi-step orchestration, and clear guardrails and fallback

behaviour.

• Engineer prompts, system instructions, and structured output schemas; version and test them like code.

• Select the right model for each task across commercial APIs (Anthropic, OpenAI, Google, Azure OpenAI,

AWS Bedrock) and open-weight models, balancing quality, latency, and cost.

B. Data, Retrieval & Model Development

• Build ingestion pipelines for client data: document parsing (PDFs, scans, spreadsheets), chunking

strategies, embedding generation, and metadata enrichment.

• Design and tune retrieval — vector search, hybrid (keyword + semantic) search, re-ranking, and query

rewriting.

• Build, train, and evaluate classical ML models (classification, forecasting, anomaly detection)



where the

problem calls for them rather than an LLM.

• Assess client data readiness during discovery and flag quality, volume, or privacy gaps early.

• Fine-tune or adapt models (e.g. LoRA) only when prompting and retrieval are not enough, backed by a

explicit cost-benefit case.

C. Evaluation, Quality & Cost Control

• Build evaluation harnesses for every AI component: golden datasets, automated metrics, LLM-as-judge

scoring, and human review loops.

• Measure and reduce hallucinations, retrieval misses, and edge-case failures before anything goes in front

of a client.

• Track token usage, latency, and cost per transaction; provide running-cost inputs for solution pricing and

client ROI models.

• Implement guardrails: PII redaction, prompt injection defences, content filtering, and output validation.

D. Deployment, MLOps & Collaboration

• Package AI services as clean APIs (FastAPI or equivale

📌 AI/ML Engineer (Bengaluru)
🏢 Flatworld Solutions
📍 Bengaluru