Required Skills

awsazuregcpllmmachine learningpostgresqlpythonrest

Job Description

Key ResponsibilitiesAgentic AI \& Multi\-Agent Systems

Design, develop, and deploy autonomous AI agents and multi\-agent systems.
Build AI copilots, AI employees, and intelligent automation solutions for business operations.
Architect agent orchestration frameworks that can decompose complex tasks and coordinate specialized AI agents.
Develop Quality Assurance and Evaluation Agents to validate outputs against user intent and business requirements.
Continuously optimize agent workflows for accuracy, speed, reliability, and scalability.

Prompt Engineering \& LLM Optimization

Design and refine advanced prompts for GPT, Claude, Gemini, DeepSeek, Llama, and other foundation models.
Optimize AI performance for accuracy, reasoning quality, latency, and cost efficiency.
Evaluate and benchmark LLMs based on business use cases, scalability, and output quality.
Implement testing, monitoring, and evaluation frameworks for continuous model improvement.

AI Application Development

Build AI\-powered applications using RAG, vector databases, APIs, MCP, tool calling, and function calling.
Integrate AI systems with internal databases, business platforms, and third\-party services.
Develop scalable retrieval systems that improve contextual understanding and response quality.
Design and maintain production\-ready AI architectures and deployment pipelines.

Multimodal AI \& User Experience

Build multimodal AI experiences that combine text, voice, image, video, and interactive interfaces.
Enable multilingual AI capabilities for global audiences.
Integrate visual AI assistants, digital avatars, and conversational experiences.
Collaborate with product and design teams to create intuitive AI\-powered user experiences.

Automation \& Integration

Build and maintain automation workflows using platforms such as n8n, Make.com, and Zapier.
Connect AI systems with CRMs, SaaS platforms, enterprise software, and external APIs.
Improve operational efficiency through intelligent workflow automation and AI\-driven processes.

QualificationsRequired

3\+ years of professional experience in AI Engineering, Machine Learning, LLM Development, or related software engineering roles.
Proven experience building and deploying AI agents, multi\-agent systems, or autonomous AI workflows in production.
Strong proficiency in Python and modern AI development practices.
Hands\-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Pydantic AI, LangChain, or similar technologies.
Deep understanding of Prompt Engineering, Retrieval\-Augmented Generation (RAG), Model Context Protocol (MCP), Function Calling, and AI orchestration patterns.
Experience working with OpenAI, Anthropic, Gemini, DeepSeek, Llama, and other foundation model APIs.
Experience with vector databases including Pinecone, Weaviate, Qdrant, or Chroma.
Knowledge of PostgreSQL, REST APIs, cloud platforms (AWS, GCP, or Azure), and production deployment workflows.
Strong analytical, problem\-solving, and communication skills.
Ability to work independently in a fast\-paced startup environment.

Preferred

Experience building AI SaaS products from concept to production.
Experience with AI\-powered business automation, sales automation, or operational workflows.
Knowledge of multimodal AI systems involving voice, video, and conversational interfaces.
Experience with workflow automation tools such as n8n, Make.com, and Zapier.
Familiarity with AI observability, evaluation frameworks, and monitoring systems.
Open\-source contributions and startup experience.

Benefits

Pay: From ₹1,100,000\.00 per year

Work Location: Hybrid remote in Pune, Maharashtra (Pune, Satara District)