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Home/Jobs/Generative AI Engineer
Generative AI Engineer
Sia Partners
Mumbai
5+ years
1 day ago
$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
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 opportunity employer
- Hiring, promotion, remuneration, and discipline are based on performance, competence, conduct, or business needs
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
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