Generative AI Engineer
17 hours ago
Job Description: Generative AI Engineer
Location
: Remote / Bangalore
Employment Type
: Full-time
Department
: AI & Research
Industry
: IT Services & Consulting
Role Category
: AI/ML – Generative AI
Role & Responsibilities
:
As a
Generative AI Engineer
, you will be responsible for designing, developing, and deploying generative AI models, large language model (LLM) applications, and agentic flows. Your core responsibilities will include:
- Build Production RAG/Agentic Flows
: Develop and implement advanced
retrieval-augmented generation (RAG)
flows, including tasks like chunking/embeddings, retrieval, tool/function calling, and caching for scalable AI solutions. - Evaluation Harnesses
: Implement evaluation frameworks to assess model quality based on key metrics such as groundedness, relevance, and completeness. Perform regression checks to ensure the stability of models over time. - Guardrails & Content Safety
: Integrate content safety measures, guardrails, and proactive monitoring systems to ensure responsible AI usage. You will be responsible for documenting
prompts/configs
and optimizing for cost and latency considerations. - API/SDK Development
: Develop and ship high-performance
APIs/SDKs
used by both web and mobile teams, ensuring seamless integration of AI-driven features. - Cross-functional Collaboration
: Collaborate with different teams to ensure that the AI solutions meet the needs of the business while maintaining high quality and compliance standards.
Desired Candidate Profile
:
- Experience
: 1–2 years of experience in
backend/application development
with a focus on AI/ML systems, especially in
Generative AI
,
LLMs
, and
AI-powered applications
. - Technical Skills
: - Proficiency in backend programming languages like
Python
or
TypeScript
. - Practical experience working with
Generative AI models
, especially around model deployment, prompt engineering, and scaling solutions. - Familiarity with
Vector Databases
(e.g., Pinecone, Weaviate) for managing embeddings and data retrieval. - Experience with tools like
LangChain
or
LlamaIndex
for building AI-powered systems. - Understanding of
caching strategies
to optimize system performance. - Knowledge of
observability
principles and tracing techniques to monitor AI model performance in production environments. - Education
: - B.E/B.Tech/M.E/M.Tech/MCA or equivalent in Computer Science, AI, Data Science, or a related field.
Key Skills
:
- Generative AI
- RAG (Retrieval-Augmented Generation)
- LLMs (Large Language Models)
- Embeddings
- Vector Databases
(e.g., Pinecone, Faiss) - Prompting Techniques
- LangChain/LlamaIndex
- FastAPI
- Caching
- Observability
- Model Deployment
- Content Safety
- Monitoring & Analytics
- Backend Development (Python/TypeScript)
Notice Period
:
- Immediate to 30 days preferred
.
#GenerativeAI #BackendDevelopment #LLMs #AI #AIEngineer #RAG #Embeddings #VectorDB #LangChain #LlamaIndex #Python #TypeScript #API #Caching #Observability #AIResearch #ContentSafety #FastAPI #NodeJS #TechJobs #RemoteJobs #BangaloreJobs #AIinIT #ITConsulting #MachineLearning #AIandML
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