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Experience: 3- 5 years

Work Location: work from office from Vadodara, Ahmedabad, Bangalore, OR Hyderabad

We are looking for a hands-on AI Engineer to build and maintain production-grade Generative AI applications. You will be responsible for implementing RAG pipelines, fine-tuning prompts, and developing scalable APIs that power our AI systems using modern open-source frameworks.

The ideal candidate will have strong expertise in LLMs, RAG pipelines, AI agents, and API-driven architecture . He/she should drive end-to-end project delivery, build production-grade systems using LLMs, RAG pipelines, and AI agents.

Technical Qualifications (Essential)

- Strong Python programming
- Experience with FastAPI based API development
- Knowledge of NLP frameworks techniques
- Hands-on with Vector Databases (Milvus / FAISS / Pinecone / Weaviate)
- Expertise in LLMs, RAG, embeddings
- Familiarity with Docker, Kubernetes
- Basic understanding of cloud platforms - AWS / Azure / GCP

Primary Skills

- Generative AI: RAG pipelines, embeddings, semantic search, LLM inference, fine-tuning.
- Prompt Engineering: Context design, optimization techniques, advanced prompt engg techniques
- AI Agentic Frameworks: LangChain, LangGraph, LangSmith
- API Development: Scalable, AI-integrated services
- Secondary Skills

- Cloud deployment
- MLOps / LLMOps practices
- Performance cost optimization
- Data engineering fundamentals
- Good to have - Statistical techniques such as Logistic Regression Multivariate Regression, Stochastic Processes, Decision Trees, common clustering algorithms, Optimization etc.,

Experience

- 3+ years in AI/ML/GenAI
- Delivered 1-2 end-end AI/Gen AI projects




- Built 1 Agents/agent-based applications

Functional Technical Responsibilities

- Design develop AI/GenAI solutions (RAG, agents)
- Develop optimize prompts and LLM workflows
- Build scalable APIs and backend systems
- Awareness of deployments (Docker/K8s)

Sr AI (5-8) /Lead (8-12) role

Experience: 5+ years

Work Location: work from office from Vadodara, Ahmedabad, Bangalore, OR Hyderabad

We are looking for highly skilled Engineering Graduate as Lead AI / Generative AI to drive the end-to-end development and delivery of advanced AI solutions. The role involves designing scalable GenAI architecture, working with cross-functional teams, and building production-grade AI systems using up-to-date open-source frameworks.

The ideal candidate will have strong expertise in LLMs, RAG pipelines, AI agents, and API-driven architecture , along with proven leadership experience in delivering AI projects from concept to production. He/she should drive end-to-end project delivery, build production-grade systems using LLMs, RAG pipelines, and AI agents, and mentor teams while aligning solutions with business needs.

Technical Qualifications (Essential)

- Strong Python programming
- Experience with FastAPI based API development
- Knowledge of NLP frameworks techniques
- Hands-on with Vector Databases (Milvus / FAISS / Pinecone / Weaviate)




- Expertise in LLMs, RAG, embeddings
- Familiarity with Docker, Kubernetes
- Basic understanding of cloud platforms - AWS / Azure / GCP

Primary Skills

- Generative AI: RAG pipelines, embeddings, semantic search, LLM inference, fine-tuning.
- Prompt Engineering: Context design, optimization techniques, advanced prompt engg techniques
- AI Agentic Frameworks: LangChain, LangGraph, LangSmith
- API Development: Scalable, AI-integrated services
- Secondary Skills

- Cloud deployment
- MLOps / LLMOps practices
- Performance cost optimization
- Data engineering fundamentals
- Good to have - Statistical techniques such as Logistic Regression Multivariate Regression, Stochastic Processes, Decision Trees, common clustering algorithms, Optimization etc.,

Experience

- 5 7 years in AI/ML/GenAI
- Delivered 3+ end-to-end AI/Gen AI projects
- Built 5+ Agents/agent-based applications
- Experience in creating AI/Gen AI project s SoW, solution approach, estimation, and token management costing

Functional Technical Responsibilities

- Design develop AI/GenAI solutions (RAG, agents)
- Develop optimize prompts and LLM workflows
- Build scalable APIs and backend systems
- Lead end-to-end project delivery to production
- Create solution proposals, SoW, architecture
- Awareness of deployments (Docker/K8s)
- Mentor teams drive best practices
- Translating business problems into AI solutions

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Gen AI - Engineer/Senior Engineer/Lead (Pune)
🏢 Rishabh Software
📍 Pune