KEY RESPONSIBILITIES
AI & Generative AI Development
- Design, develop, and deploy enterprise-grade AI applications using Generative AI technologies.
- Build intelligent solutions powered by Large Language Models (LLMs) such as Claude, OpenAI, Gemini, and open-source models.
- Develop and optimize Retrieval-Augmented Generation (RAG) architectures for domain-specific knowledge retrieval.
- Fine-tune prompts, AI workflows, and model interactions to improve accuracy, performance, and user experience.
- Evaluate and integrate emerging AI technologies into business workflows.
AI Automation & Workflow Engineering
- Design and implement AI-powered automation workflows using tools such as n8n, Airtable, and related automation platforms.
- Build intelligent agents and autonomous workflows to streamline marketing, sales, customer support, and operational processes.
- Integrate AI models with business applications, databases, APIs, and third-party platforms.
Software Engineering & Platform Development
- Develop scalable backend services and APIs using Python.
- Build production-ready AI applications with robust architecture, security, and monitoring practices.
- Collaborate with cross-functional teams to ensure seamless deployment and integration of AI solutions.
- Optimize system performance, scalability, and reliability for AI workloads.
REQUIRED SKILLS & QUALIFICATIONS
Technical Skills
- 1–4 years of experience in AI/ML Engineering.
- Strong proficiency in Python and AI application development.
- Hands-on experience with Generative AI, Large Language Models (LLMs), and AI orchestration frameworks.
- Strong experience in building RAG (Retrieval-Augmented Generation) solutions.
- Experience with prompt engineering, embeddings, vector databases, and AI agent frameworks.
- Knowledge of LLM platforms such as Claude, OpenAI, Gemini, or similar ecosystems.
- Experience with workflow automation platforms such as n8n and Airtable.
- Familiarity with AI-assisted development tools such as Cursor and other modern coding copilots.
- Database proficiency: MySQL, MongoDB, PostgreSQL, and SQL Databases.
- Experience in API development, integrations, and cloud-native application design.
- Understanding software engineering best practices, CI/CD, testing, and deployment.
Preferred Skills
- Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar AI frameworks.
- Experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Exposure to MLOps, model deployment, monitoring, and observability.
EDUCATIONAL QUALIFICATION
MCA / B.E. / B.Tech / M.Tech in Computer Science, Information Technology, Artificial Intelligence, or Machine Learning from a reputed university.
DESIRED CANDIDATE PROFILE
We are looking for someone who:
- Is passionate about AI innovation and emerging technologies.
- Has a strong problem-solving and analytical mindset.
- Can translate business challenges into scalable AI solutions.
- Thrives in a fast-paced, entrepreneurial environment.
- Possesses excellent communication and stakeholder management skills.
- Can independently lead AI initiatives from concept to production.
WHY JOIN DOTMAPPERS?
- Play a key role in transforming marketing through AI-led innovation.
- Shape automation strategies for a growing digital marketing agency.
- Work directly with leadership and contribute to high-impact, revenue-driving projects.
- Lead the development of next-generation AI products and intelligent automation systems.
- Grow into a leadership role as the AI & Automation function expands.
- Enjoy a collaborative, innovation-driven environment focused on creativity, speed, and measurable impact.
You can send your updated CV to [email protected] for quick response
Pay: ₹250,000.00 - ₹400,000.00 per year
Benefits:
Ability to commute/relocate:
- Bangalore City, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required)
Experience:
- AI/ML: 1 year (Required)
- Python: 1 year (Required)
Location:
- Bangalore City, Bengaluru, Karnataka (Preferred)
Work Location: In person
