Scroll down for senior role JD:
Experience: 3- 5 years
Work Location: work from office from Vadodara, Ahmedabad, Bangalore, OR Hyderabad
Job Description:
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
Job Description:
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 modern 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
