Generative AI Engineer

Sia Partners; Mumbai; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Sia Partners in Mumbai is seeking a Generative AI Engineer to architect and deliver GenAI solutions across industries. You will collaborate with data scientists, ML and platform engineers to implement benchmarking, RAG pipelines, and scalable GenAI workflows.

The role emphasizes model reliability, prompt design, and integration with AWS/GCP/Azure services, aiming to accelerate time-to-market for customer GenAI applications.

Qualifications

• Bachelor's/Master's degree in CS, AI or related field.
• 5+ years in NLP/ML/AI with at least 3 years hands-on GenAI.
• Strong coding in Python with PyTorch, Hugging Face, LangChain, LlamaIndex.
• Experience with cloud-based AI services (AWS/GCP/Azure) and APIs (OpenAI, Anthropic, Hugging Face).
• Experience with vector databases: Qdrant, pgvector, Pinecone, FAISS, Milvus, or Weaviate.
• Familiarity with prompt engineering, transformer architectures, embeddings.
• Excellent communication to explain complex concepts to technical and non-technical stakeholders.
• Sharp problem-solving and collaboration across diverse teams.

Responsibilities

• Design and build GenAI solutions across industries.
• Develop LLM-powered applications using LangChain and related tools.
• Implement RAG pipelines with vector databases for grounding responses.
• Create multimodal AI solutions and autonomous agents where relevant.
• Drive MLOps excellence: CI/CD, drift detection, retraining schedules.
• Design reusable prompt templates and CoT, ReAct frameworks.
• Ensure performance, security, compliance, and scalable UX.
• Collaborate with DevOps to integrate GenAI into microservices and APIs.
• Benchmark LLMs for use-case fit and cost/performance.

Skills

Python

GenAI

NLP/ML/AI

LangChain

LlamaIndex

PyTorch

Hugging Face

OpenAI API

Cloud platforms

Education

Bachelor's/Master's degree in CS/AI

Tools

LangChain

LlamaIndex

Pinecone

FAISS

pgvector

ChromaDB

SageMaker

Bedrock

Vertex AI

FastAPI/Flask

Job description

Job Description

We are seeking a skilled Generative AI Engineer to join our team at Mumbai, where you will harness model capabilities to implement cutting-edge algorithms and solutions across myriad industries.

You will serve as a pivotal link between Data Scientists, ML and Platform Engineers to unleash the potential of Generative AI technology by implementing business-centric solutions. You will help customers find the appropriate level of refinement among semantic search, RAG, agents, and ultimately fine-tuning to reach their value delivery threshold in the most cost-effective way.

Beyond crafting prompts, you will be responsible for designing and building robust and scalable products starting with benchmarks of candidate FMs through targeted requests, rapidly iterating prototypes, and validating product ideas. Your expertise in orchestrating the entire AI workflow will ensure the seamless integration of advanced models capabilities into applications, optimizing performance, security, compliance, scalability, and efficiency. You will competently navigate between prompts, chains, and agents while mastering the underlying infrastructure challenges.

We invest in your success through comprehensive training, combining internal programs with resources from our technology partners.

Join us if you are passionate about pushing the boundaries of AI technology and making a significant impact in enabling our customers to create GenAI-powered applications with confidence and a fast time to market.

Key Responsibilities

You are part of a cross-functional consulting team that drives the adoption of Generative AI in every imaginable sector, working step-by-step with customers to understand business requirements to design then build bespoke GenAI solutions.

• Build applications powered by LLMs (OpenAI, Claude, Mistral, etc.) using LangChain, LlamaIndex, and related GenAI frameworks.
• Implement RAG pipelines with vector DBs (Pinecone, FAISS, pgvector, ChromaDB) for grounding LLM responses with internal knowledge
• Develop multimodal AI solutions (text, audio, image) and build autonomous agents where relevant.
• Drive MLOps excellence: CI/CD (ML pipelines), drift detection, canary releases, retraining schedules.
• Design robust and reusable prompt templates using CoT, ReAct, Graph-of-Thought, and Agent flows.
• Continuously improve model reliability, relevance, and UX by tuning prompt flows
• Deploy GenAI models on AWS/GCP/Azure using services like SageMaker, Bedrock, Vertex AI
• Ensure performance observability, security guardrails, and compliance (GDPR, Responsible AI)
• Work with DevOps teams to integrate GenAI solutions into microservices and APIs (FastAPI/Flask)
• Benchmark open-source and commercial LLMs for use-case fit and cost-performance tradeoffs
• Evaluate fine-tuning strategies (PEFT, LoRA, RLHF) where applicable for proprietary use cases
• Support solution architects and cross-functional teams in delivering PoCs and enterprise-grade rollouts
• Document frameworks, best practices, risks, and learnings for future scaling

Qualifications

• Bachelor s/masters degree in computer science, AI, or a related field.
• 5+ years of experience in NLP/ML/AI with at least 3 year hands-on in GenAI.
• Strong coding skills in Python with frameworks like PyTorch, Hugging Face, LangChain, and LlamaIndex.
• Proven experience with cloud-based AI services (AWS/GCP/Azure) and APIs (OpenAI, Anthropic, Hugging Face).
• Experience with vector databases: Qdrant, pgvector, Pinecone, FAISS, Milvus, or Weaviate.
• Familiarity with prompt engineering, transformer architectures, and embedding techniques.
• Excellent communication skills, with the ability to convey complex technical concepts to both highly technical and also non-technical stakeholders.
• Sharp problem-solving skills.
• Ability to collaborate with diverse teams.