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Generative AI Engineer

Sia Verified employer

Full time On-site
Experience
5+ years
Location
Mumbai
Work mode
On-site
Salary
₹11L – ₹28L a year estimatetypical for IT Jobs in Maharashtra, 114 posts
Posted 1 month ago Last checked 21 min ago

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Role at a glance

You will
  • You are part of a cross-functional consulting team that drives the adoption of Generative AI in every imaginable sector, working…
  • 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
Experience
5+ years
Must-have skills
AWSGoogle Cloud Platform (GCP)Microsoft AzureNatural Language Processing (NLP)Prompt EngineeringPyTorch
Work mode
On-site

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Job description

Location: Mumbai, Maharashtra, India
Department: Engineering

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/master's 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. 

Additional Information

What We Offer 

  • Opportunity to lead cutting-edge AI projects in a global consulting environment. 

  • Leadership development programs and training sessions at our global centers. 

  • A dynamic and collaborative team environment with diverse projects. 

Position based in Mumbai (onsite).

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Company Description

Sia Partners is a next-generation global management consulting firm, founded in 1999 and headquartered in Paris, France. The firm is recognised for its innovative approach, combining strategy and management consulting with data science and creativity. Sia Partners serves a diverse range of sectors, including energy, banking, healthcare, and technology, providing services to over 1,000 clients worldwide, including many Fortune 500 companies. With a strong emphasis on delivering tangible results and superior value, Sia Partners is committed to helping clients navigate the digital revolution and achieve transformation. The firm operates with a global presence, employing over 3,500 consultants across 48 locations in 20 countries

Our Mumbai office was launched in 2024, marking an exciting new chapter for us. We’re building the team with people who are eager to shape something from the ground up — combining the agility and entrepreneurial energy of a startup with the backing and reach of a global brand.

Key skills

Required

AWSGoogle Cloud Platform (GCP)Microsoft AzureNatural Language Processing (NLP)Prompt EngineeringPyTorchPython

Soft skills

CommunicationProblem Solving

Job market insights

103active AWS jobs in Mumbai
54active Google Cloud Platform (GCP) jobs in Mumbai
77active Microsoft Azure jobs in Mumbai
₹11L – ₹28L advertised yearly salary for IT Jobs in Maharashtra (middle half of 114 posts that show a salary; median ₹19L)
17 more open jobs at Sia

Most IT Jobs posts in Mumbai ask for 3–6 years of experience (48% of 504 that say).

Hiring most for IT Jobs in Mumbai

  • JPMorgan Chase74 open jobs
  • Necsws24 open jobs
  • Schneider Electric24 open jobs

Jobs asking for AWS in Mumbai also ask for

  • Microsoft Azure55%
  • Python52%
  • CI/CD43%
  • Google Cloud Platform (GCP)40%
  • Java37%

From live job posts on CoreHRx, updated 9 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Generative AI Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹28L a year (typical for IT Jobs in Maharashtra, 114 posts).

How much experience does this job need?

The post asks for 5 Yrs experience.

Where is this job based?

In Mumbai (on-site).

What kind of job is this?

It is a full time job.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

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  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
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