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Top Gen AI Jobs
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Home/Jobs/Generative AI Engineer
Generative AI Engineer
Sia Partners
Mumbai
5+ years
Today
$42.2K–55.4K/yr
Full-time
Onsite
Skills Required
LLM
RAG
Gen AI
LangChain
LlamaIndex
Hugging Face
OpenAI
Anthropic
Prompt Engineering
Transformer Architectures
PyTorch
Python
AWS
GCP
Azure
Description
Sia Partners is hiring a Generative AI Engineer to help design and deliver business-centric GenAI solutions across industries. The role sits in a cross-functional consulting team and focuses on building scalable, secure, and production-ready AI applications.
Company: Sia Partners
Role: Generative AI Engineer
Location: Mumbai, India
Experience
- 5+ years of experience in NLP/ML/AI
- At least 3 years of hands-on GenAI experience
- Strong coding skills in Python
- Excellent communication skills
- Sharp problem-solving skills
- Ability to collaborate with diverse teams
Qualification
- Bachelor’s degree in computer science, AI, or a related field
- Master's degree in computer science, AI, or a related field
Responsibilities
- Serve as a link between Data Scientists, ML Engineers, and Platform Engineers
- Work with customers to understand business requirements and design bespoke GenAI solutions
- Help customers choose between semantic search, RAG, agents, and fine-tuning based on value and cost
- Build applications powered by LLMs using GenAI frameworks
- Implement RAG pipelines with vector databases for grounded responses
- Develop multimodal AI solutions and autonomous agents where relevant
- Design robust and reusable prompt templates
- Continuously improve model reliability, relevance, and UX
- Deploy GenAI models on cloud platforms
- Ensure performance observability,
security guardrails, and compliance
- Integrate GenAI solutions into microservices and APIs with DevOps teams
- Benchmark LLMs for use-case fit and cost-performance tradeoffs
- Evaluate fine-tuning strategies for proprietary use cases
- Support solution architects and cross-functional teams in PoCs and enterprise rollouts
- Document frameworks, best practices, risks, and learnings
Additional Responsibilities
- Start with benchmarks of candidate foundation models through targeted requests
- Rapidly iterate prototypes
- Validate product ideas
- Orchestrate the AI workflow and integrate advanced model capabilities into applications
- Navigate prompts, chains, and agents while handling infrastructure challenges
- Drive MLOps excellence through pipeline and release practices
Nice To Have
- Open-source and commercial LLM benchmarking experience
- Experience with proprietary use cases requiring fine-tuning
- Experience with multimodal AI
- Experience building autonomous agents
More Skills NLP, ML, AI, Claude, Mistral, vector databases, Pinecone, FAISS, pgvector, ChromaDB, Qdrant, Milvus, Weaviate, prompts, embedding techniques, multimodal AI, autonomous agents, MLOps, CI/CD, drift detection, canary releases, retraining schedules, CoT, ReAct, Graph-of-Thought, SageMaker, Bedrock, Vertex AI,
performance observability, security guardrails, GDPR, Responsible AI, microservices, APIs, FastAPI, Flask, PEFT, LoRA, RLHF, semantic search, fine-tuning
Other
- Founded in 1999 and headquartered in Paris, France
- Global management consulting firm with 3,500+ consultants across 48 locations in 20 countries
- Serves 1,000+ clients worldwide, including Fortune 500 companies
- Mumbai office launched in 2024
- Cross-functional consulting environment
- Internal training and technology partner resources provided
- Opportunity to lead cutting-edge AI projects
- Leadership development programs and training sessions at global centers
- Dynamic and collaborative team environment with diverse projects
- Position based in Mumbai onsite
- Equal chance employer
- Hiring, promotion, remuneration, and discipline are based on performance, competence, conduct, or business needs
Prepare for this role Recommended resources to build the skills for this position. Sponsored.
Top 10 RAG Quick-Prep Questions
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Top 20 LLM System Design Questions (Quick)
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Top 50 LLM System Design Interview Questions
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